From 0581fdfaf358e4e89384cf315e31f11f2bfe1223 Mon Sep 17 00:00:00 2001
From: Pranavchiku <goswami.4@iitj.ac.in>
Date: Mon, 29 Jul 2024 20:36:37 +0530
Subject: [PATCH 01/16] feat: init lapack/base/dlange

---
 .../@stdlib/lapack/base/dlange/lib/base.js    | 183 ++++++++++++++++++
 .../@stdlib/lapack/base/dlange/lib/dlange.js  |  72 +++++++
 .../@stdlib/lapack/base/dlange/lib/main.js    |  35 ++++
 .../@stdlib/lapack/base/dlange/lib/ndarray.js |  66 +++++++
 4 files changed, 356 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlange/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js

diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
new file mode 100644
index 00000000000..1de78c93263
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
@@ -0,0 +1,183 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable max-len */
+
+'use strict';
+
+// MODULES //
+
+var dlassq = require( '@stdlib/lapack/base/dlassq' ).ndarray;
+var lowercase = require( '@stdlib/string/base/lowercase' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var Float64Array = require( '@stdlib/array/float64' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var min = require( '@stdlib/math/base/special/min' );
+var isnan = require( '@stdlib/assert/is-nan' );
+
+
+// MAIN //
+
+/**
+* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+*
+* @private
+* @param {string} order - storage layout
+* @param {string} norm - specifies the value to be returned
+* @param {NonNegativeInteger} M - number of rows of `A`
+* @param {NonNegativeInteger} N - number of columns of `A`
+* @param {Float64Array} A - input array
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {PositiveInteger} offsetA - starting index for `A`
+* @param {Float64Array} work - workspace array
+* @param {integer} strideW - stride length for `work`
+* @param {PositiveInteger} offsetW - starting index for `work`
+* @returns {number} matrix norm
+*
+* @example
+* var Float64Array = require( `@stdlib/array/float64` );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var work = new Float64Array( 2 );
+*
+* var out = dlange( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+* // out => 4.0
+*/
+function dlange( order, norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) { // eslint-disable-line max-params
+	var scale;
+	var value;
+	var sum;
+	var tmp;
+	var out;
+	var sa;
+	var i;
+	var j;
+
+	norm = lowercase( norm );
+	if ( min( M, N ) === 0.0 ) {
+		value = 0.0;
+	} else if ( norm === 'm' ) {
+		// Find max( abs( A[ i, j ] ) )
+		value = 0.0;
+		if ( order === 'column-major' ) {
+			for ( j = 0; j < N; j++ ) {
+				sa = offsetA + ( j * strideA1 );
+				for ( i = 0; i < M; i++ ) {
+					tmp = abs( A[ sa + ( i * strideA2 ) ] );
+					if ( value <= tmp || isnan( tmp ) ) {
+						value = tmp;
+					}
+				}
+			}
+			return value;
+		}
+		// order === 'row-major'
+		for ( j = 0; j < N; j++ ) {
+			sa = offsetA + ( j * strideA2 );
+			for ( i = 0; i < M; i++ ) {
+				tmp = abs( A[ sa + ( i * strideA1 ) ] );
+				if ( value <= tmp || isnan( tmp ) ) {
+					value = tmp;
+				}
+			}
+		}
+		return value;
+	}
+	if ( norm === 'o' || norm === '1' ) {
+		// Find norm1( A )
+		value = 0.0;
+		if ( order === 'column-major' ) {
+			for ( j = 0; j < N; j++ ) {
+				sum = 0.0;
+				sa = offsetA + ( j * strideA1 );
+				for ( i = 0; i < M; i++ ) {
+					sum += abs( A[ sa + ( i * strideA2 ) ] );
+				}
+				if ( value < sum || isnan( sum ) ) {
+					value = sum;
+				}
+			}
+			return value;
+		}
+		// order === 'row-major'
+		for ( i = 0; i < M; i++ ) {
+			sum = 0.0;
+			sa = offsetA + ( i * strideA2 );
+			for ( j = 0; j < N; j++ ) {
+				sum += abs( A[ sa + ( j * strideA1 ) ] );
+			}
+			if ( value < sum || isnan( sum ) ) {
+				value = sum;
+			}
+		}
+		return value;
+	}
+	if ( norm === 'i' ) {
+		// Find normI( A )
+		for ( i = 0; i < M; i++ ) {
+			work[ offsetW + ( i * strideW ) ] = 0.0;
+		}
+		if ( order === 'column-major' ) {
+			for ( j = 0; j < N; j++ ) {
+				sa = offsetA + ( j * strideA1 );
+				for ( i = 0; i < M; i++ ) {
+					work[ offsetW + ( i * strideW ) ] += abs( A[ sa + ( i * strideA2 ) ] );
+				}
+			}
+		} else { // order === 'row-major'
+			for ( i = 0; i < M; i++ ) {
+				sa = offsetA + ( i * strideA2 );
+				for ( j = 0; j < N; j++ ) {
+					work[ offsetW + ( i * strideW ) ] += abs( A[ sa + ( j * strideA1 ) ] );
+				}
+			}
+		}
+		value = 0.0;
+		for ( i = 0; i < M; i++ ) {
+			tmp = work[ offsetW + ( i * strideW ) ];
+			if ( value < tmp || isnan( tmp ) ) {
+				value = tmp;
+			}
+		}
+		return value;
+	}
+	if ( norm === 'f' ) {
+		// Find normF( A )
+		scale = 0.0;
+		sum = 1.0;
+		out = new Float64Array( 2 );
+		if ( order === 'column-major' ) {
+			for ( j = 0; j < N; j++ ) {
+				out = dlassq( M, A, strideA2, offsetA + ( j * strideA1 ), scale, sum, out, 1, 0 );
+			}
+			value = scale * sqrt( out[ 1 ] );
+			return value;
+		}
+		// order === 'row-major'
+		for ( i = 0; i < M; i++ ) {
+			out = dlassq( N, A, strideA1, offsetA + ( i * strideA2 ), scale, sum, out, 1, 0 );
+		}
+	}
+	return value;
+}
+
+
+// EXPORTS //
+
+module.exports = dlange;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
new file mode 100644
index 00000000000..0842e27aa95
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
@@ -0,0 +1,72 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var isLayout = require( '@stdlib/blas/base/assert/is-layout' );
+var format = require( '@stdlib/string/format' );
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+*
+* @param {string} order - storage layout
+* @param {string} norm - specifies the value to be returned
+* @param {NonNegativeInteger} M - number of rows of `A`
+* @param {NonNegativeInteger} N - number of columns of `A`
+* @param {Float64Array} A - input array
+* @param {PositiveInteger} LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @param {Float64Array} work - workspace array
+* @throws {TypeError} first argument must be a valid order
+* @returns {number} matrix norm
+*
+* @example
+* var Float64Array = require( `@stdlib/array/float64` );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var work = new Float64Array( 2 );
+*
+* var out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
+* // out => 4.0
+*/
+function dlange( order, norm, M, N, A, LDA, work ) {
+	var sa1;
+	var sa2;
+
+	if ( !isLayout( order ) ) {
+		throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) );
+	}
+	if ( order === 'column-major' ) {
+		sa1 = 1;
+		sa2 = LDA;
+	} else { // order === 'row-major'
+		sa1 = LDA;
+		sa2 = 1;
+	}
+	return base( order, norm, M, N, A, sa1, sa2, 0, work, 1, 0 );
+}
+
+
+// EXPORTS //
+
+module.exports = dlange;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/main.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/main.js
new file mode 100644
index 00000000000..9b733faf588
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/main.js
@@ -0,0 +1,35 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var dlange = require( './dlange.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( dlange, 'ndarray', ndarray );
+
+
+// EXPORTS //
+
+module.exports = dlange;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js
new file mode 100644
index 00000000000..3fca2630d5e
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js
@@ -0,0 +1,66 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var isLayout = require( '@stdlib/blas/base/assert/is-layout' );
+var format = require( '@stdlib/string/format' );
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+*
+* @param {string} order - storage layout
+* @param {string} norm - specifies the value to be returned
+* @param {NonNegativeInteger} M - number of rows of `A`
+* @param {NonNegativeInteger} N - number of columns of `A`
+* @param {Float64Array} A - input array
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {PositiveInteger} offsetA - starting index for `A`
+* @param {Float64Array} work - workspace array
+* @param {integer} strideW - stride length for `work`
+* @param {PositiveInteger} offsetW - starting index for `work`
+* @throws {TypeError} first argument must be a valid order
+* @returns {number} matrix norm
+*
+* @example
+* var Float64Array = require( `@stdlib/array/float64` );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var work = new Float64Array( 2 );
+*
+* var out = dlange( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+* // out => 4.0
+*/
+function dlange( order, norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) {  // eslint-disable-line max-params, max-len
+	if ( !isLayout( order ) ) {
+		throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) );
+	}
+	return base( order, norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = dlange;

From d3fc84d435a5848318d2a01e25eea2d6ff7ef18c Mon Sep 17 00:00:00 2001
From: Pranavchiku <goswami.4@iitj.ac.in>
Date: Mon, 29 Jul 2024 21:06:41 +0530
Subject: [PATCH 02/16] chore: add other files

---
 .../@stdlib/lapack/base/dlange/README.md      | 237 ++++++++++++
 .../lapack/base/dlange/benchmark/benchmark.js | 108 ++++++
 .../dlange/benchmark/benchmark.ndarray.js     | 108 ++++++
 .../lapack/base/dlange/docs/types/index.d.ts  | 115 ++++++
 .../lapack/base/dlange/docs/types/test.ts     | 342 ++++++++++++++++++
 .../lapack/base/dlange/examples/index.js      |  29 ++
 .../@stdlib/lapack/base/dlange/lib/index.js   |  68 ++++
 .../@stdlib/lapack/base/dlange/lib/ndarray.js |   4 +-
 .../@stdlib/lapack/base/dlange/package.json   |  68 ++++
 .../@stdlib/lapack/base/dlange/test/test.js   |  82 +++++
 10 files changed, 1159 insertions(+), 2 deletions(-)
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlange/README.md
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.ndarray.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlange/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlange/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlange/package.json
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlange/test/test.js

diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/README.md b/lib/node_modules/@stdlib/lapack/base/dlange/README.md
new file mode 100644
index 00000000000..f71614aafce
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/README.md
@@ -0,0 +1,237 @@
+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2024 The Stdlib Authors.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+   http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+-->
+
+# dlange
+
+> Return the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+
+<section class = "usage">
+
+## Usage
+
+```javascript
+var dlange = require( '@stdlib/lapack/base/dlange' );
+```
+
+#### dlange( order, norm, M, N, A, LDA, work )
+
+Return the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+var work = new Float64Array( 2 );
+
+var out = dlange( 'row-major', 'M', 2, 3, A, 3, work );
+// out => 6.0
+```
+
+The function has the following parameters:
+
+-   **order**: storage layout.
+-   **norm**: specifies the value to be returned.
+-   **M**: number of rows in `A`.
+-   **N**: number of columns in `A`.
+-   **A**: input [`Float64Array`][mdn-float64array].
+-   **LDA**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`).
+-   **work**: workspace array.
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+<!-- eslint-disable stdlib/capitalized-comments -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+// Initial arrays...
+var A0 = new Float64Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+var WORK0 = new Float64Array( 4 );
+
+// Create offset views...
+var A1 = new Float64Array( A0.buffer, A0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+var WORK1 = new Float64Array( WORK0.buffer, WORK0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+var out = dlange( 'row-major', 'M', 2, 3, A1, 3, WORK1 );
+// out => 6.0
+```
+
+#### dlange.ndarray( ord, norm, M, N, A, sa1, sa2, oa, work, sw, ow )
+
+Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A using alternative indexing semantics.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+var work = new Float64Array( 2 );
+
+var out = dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+// out => 4.0
+```
+
+The function has the following additional parameters:
+
+-   **sa1**: stride of the first dimension of `A`.
+-   **sa2**: stride of the second dimension of `A`.
+-   **oa**: starting index for `A`
+-   **sw**: stride length for `work`.
+-   **ow**: starting index for `work`.
+
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example,
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 0.0, 0.0, 1.0, 2.0, 3.0, 4.0 ] );
+var work = new Float64Array( 2 );
+
+var out = dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 2, work, 1, 0 );
+// out => 4.0
+```
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   `dlange()` corresponds to the [LAPACK][lapack] routine [`dlange`][lapack-dlange].
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var dlange = require( '@stdlib/lapack/base/dlange' );
+
+var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+var work = new Float64Array( 2 );
+
+var out = dlange( 'row-major', 'M', 2, 3, A, 3, work );
+// out => 6.0
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- C interface documentation. -->
+
+* * *
+
+<section class="c">
+
+## C APIs
+
+<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<!-- C usage documentation. -->
+
+<section class="usage">
+
+### Usage
+
+```c
+TODO
+```
+
+#### TODO
+
+TODO.
+
+```c
+TODO
+```
+
+TODO
+
+```c
+TODO
+```
+
+</section>
+
+<!-- /.usage -->
+
+<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<!-- C API usage examples. -->
+
+<section class="examples">
+
+### Examples
+
+```c
+TODO
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="links">
+
+[lapack]: https://www.netlib.org/lapack/explore-html/
+
+[lapack-dlange]: https://www.netlib.org/lapack/explore-html/d8/d2e/group__lange_ga8581d687290b36c6e24fe76b3be7caa3.html#ga8581d687290b36c6e24fe76b3be7caa3
+
+[mdn-float64array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Float64Array
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.js b/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.js
new file mode 100644
index 00000000000..a742679f774
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.js
@@ -0,0 +1,108 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var pkg = require( './../package.json' ).name;
+var dlange = require( './../lib/dlange.js' );
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} N - number of elements along each dimension
+* @returns {Function} benchmark function
+*/
+function createBenchmark( N ) {
+	var values;
+	var opts;
+	var work;
+	var A;
+
+	opts = {
+		'dtype': 'float64'
+	};
+
+	values = [ 'M', '1', 'O', 'I', 'F', 'E' ];
+
+	A = uniform( N*N, -10.0, 10.0, opts );
+	work = uniform( N, -10.0, 10.0, opts );
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var z;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			z = dlange( 'column-major', values[ i%values.length ], N, N, A, N, work );
+			if ( isnan( z ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( z ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var min;
+	var max;
+	var N;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( i = min; i <= max; i++ ) {
+		N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+		f = createBenchmark( N );
+		bench( pkg+':order=column-major,size='+(N*N), f );
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.ndarray.js
new file mode 100644
index 00000000000..e1176aa49ce
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.ndarray.js
@@ -0,0 +1,108 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var pkg = require( './../package.json' ).name;
+var dlange = require( './../lib/ndarray.js' );
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} N - number of elements along each dimension
+* @returns {Function} benchmark function
+*/
+function createBenchmark( N ) {
+	var values;
+	var opts;
+	var work;
+	var A;
+
+	opts = {
+		'dtype': 'float64'
+	};
+
+	values = [ 'M', '1', 'O', 'I', 'F', 'E' ];
+
+	A = uniform( N*N, -10.0, 10.0, opts );
+	work = uniform( N, -10.0, 10.0, opts );
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var z;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			z = dlange( 'column-major', values[ i%values.length ], N, N, A, 1, N, 0, work, 1, 0 );
+			if ( isnan( z ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( z ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var min;
+	var max;
+	var N;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( i = min; i <= max; i++ ) {
+		N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
+		f = createBenchmark( N );
+		bench( pkg+':ndarray:order=column-major,size='+(N*N), f );
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts b/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts
new file mode 100644
index 00000000000..6a159cb75d6
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts
@@ -0,0 +1,115 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+/// <reference types="@stdlib/types"/>
+
+import { Layout } from '@stdlib/types/blas';
+
+/**
+* Interface describing `dlange`.
+*/
+interface Routine {
+	/**
+	* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+	*
+	* @param order - storage layout
+	* @param norm - specifies the value to be returned
+	* @param M - number of rows of `A`
+	* @param N - number of columns of `A`
+	* @param A - input array
+	* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+	* @param work - workspace array
+	* @returns matrix norm
+	*
+	* @example
+	* var Float64Array = require( `@stdlib/array/float64` );
+	*
+	* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	* var work = new Float64Array( 2 );
+	*
+	* var out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
+	* // out => 4.0
+	*/
+	( order: Layout, norm: string, M: number, N: number, A: Float64Array, LDA: number, work: Float64Array ): number;
+
+	/**
+	* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+	*
+	* @param order - storage layout
+	* @param norm - specifies the value to be returned
+	* @param M - number of rows of `A`
+	* @param N - number of columns of `A`
+	* @param A - input array
+	* @param strideA1 - stride of the first dimension of `A`
+	* @param strideA2 - stride of the second dimension of `A`
+	* @param offsetA - starting index for `A`
+	* @param work - workspace array
+	* @param strideW - stride length for `work`
+	* @param offsetW - starting index for `work`
+	* @returns matrix norm
+	*
+	* @example
+	* var Float64Array = require( `@stdlib/array/float64` );
+	*
+	* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	* var work = new Float64Array( 2 );
+	*
+	* var out = dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+	* // out => 4.0
+	*/
+	ndarray( order: Layout, norm: string, M: number, N: number, A: Float64Array, strideA1: number, strideA2: number, offsetA: number, work: Float64Array, strideW: number, offsetW: number ): number;
+}
+
+/**
+* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+*
+* @param order - storage layout
+* @param norm - specifies the value to be returned
+* @param M - number of rows of `A`
+* @param N - number of columns of `A`
+* @param A - input array
+* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @param work - workspace array
+* @returns matrix norm
+*
+* @example
+* var Float64Array = require( `@stdlib/array/float64` );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var work = new Float64Array( 2 );
+*
+* var out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
+* // out => 4.0
+*
+* @example
+* var Float64Array = require( `@stdlib/array/float64` );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var work = new Float64Array( 2 );
+*
+* var out = dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+* // out => 4.0
+*/
+declare var dlange: Routine;
+
+
+// EXPORTS //
+
+export = dlange;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/test.ts b/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/test.ts
new file mode 100644
index 00000000000..3b8ae37ab65
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/test.ts
@@ -0,0 +1,342 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+import dlange = require( './index' );
+
+
+// TESTS //
+
+// The function returns a Float64Array...
+{
+	const work = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange( 'row-major', 'M', 2, 2, A, 2, work ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a string...
+{
+	const work = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange( 5, 'M', 2, 2, A, 2, work ); // $ExpectError
+	dlange( true, 'M', 2, 2, A, 2, work ); // $ExpectError
+	dlange( false, 'M', 2, 2, A, 2, work ); // $ExpectError
+	dlange( null, 'M', 2, 2, A, 2, work ); // $ExpectError
+	dlange( void 0, 'M', 2, 2, A, 2, work ); // $ExpectError
+	dlange( [], 'M', 2, 2, A, 2, work ); // $ExpectError
+	dlange( {}, 'M', 2, 2, A, 2, work ); // $ExpectError
+	dlange( ( x: number ): number => x, 'M', 2, 2, A, 2, work ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a string...
+{
+	const work = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange( 'row-major', 5, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', true, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', false, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', null, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', void 0, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', [], 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', {}, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', ( x: number ): number => x, 2, 2, A, 2, work ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+	const work = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange( 'row-major', 'M', '5', 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', true, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', false, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', null, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', void 0, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', [], 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', {}, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', ( x: number ): number => x, 2, A, 2, work ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a number...
+{
+	const work = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange( 'row-major', 'M', 2, '5', A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, true, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, false, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, null, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, void 0, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, [], A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, {}, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, ( x: number ): number => x, A, 2, work ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a Float64Array...
+{
+	const work = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+
+	dlange( 'row-major', 'M', 2, 2, '5', 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, 5, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, true, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, false, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, null, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, void 0, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, [], 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, {}, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, ( x: number ): number => x, 2, work ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a number...
+{
+	const work = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange( 'row-major', 'M', 2, 2, A, '5', work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A, true, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A, false, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A, null, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A, void 0, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A, [], work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A, {}, work ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A, ( x: number ): number => x, work ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a seventh argument which is not a Float64Array...
+{
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange( 'row-major', 'M', 2, 2, A, 2, '5' ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A, 2, 5 ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A, 2, true ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A, 2, false ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A, 2, null ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A, 2, void 0 ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A, 2, [] ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A, 2, {} ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A, 2, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const work = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange(); // $ExpectError
+	dlange( 'row-major' ); // $ExpectError
+	dlange( 'row-major', 'M' ); // $ExpectError
+	dlange( 'row-major', 'M', 2 ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2 ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A, 2 ); // $ExpectError
+	dlange( 'row-major', 'M', 2, 2, A, 2, work, 10 ); // $ExpectError
+}
+
+// Attached to main export is an `ndarray` method which returns a Float64Array...
+{
+	const work = new Float64Array( [ 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a string...
+{
+	const work = new Float64Array( [ 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange.ndarray( 5, 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( true, 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( false, 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( null, 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( void 0, 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( [], 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( {}, 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( ( x: number ): number => x, 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a string...
+{
+	const work = new Float64Array( [ 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange.ndarray( 'row-major', 5, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', true, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', false, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', null, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', void 0, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', [], 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', {}, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', ( x: number ): number => x, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+	const work = new Float64Array( [ 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange.ndarray( 'row-major', 'M', '5', 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', true, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', false, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', null, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', void 0, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', [], 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', {}, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', ( x: number ): number => x, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a number...
+{
+	const work = new Float64Array( [ 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange.ndarray( 'row-major', 'M', 2, '5', A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, true, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, false, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, null, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, void 0, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, [], A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, {}, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, ( x: number ): number => x, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a Float64Array...
+{
+	const work = new Float64Array( [ 0.0, 0.0 ] );
+
+	dlange.ndarray( 'row-major', 'M', 2, 2, '5', 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, 5, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, true, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, false, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, null, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, void 0, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, [], 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, {}, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, ( x: number ): number => x, 2, 1, 0, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a number...
+{
+	const work = new Float64Array( [ 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, '5', 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, true, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, false, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, null, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, void 0, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, [], 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, {}, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, ( x: number ): number => x, 1, 0, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a seventh argument which is not a number...
+{
+	const work = new Float64Array( [ 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, '5', 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, true, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, false, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, null, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, void 0, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, [], 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, {}, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, ( x: number ): number => x, 0, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an eighth argument which is not a number...
+{
+	const work = new Float64Array( [ 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, '5', work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, true, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, false, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, null, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, void 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, [], work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, {}, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, ( x: number ): number => x, work, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a ninth argument which is not a Float64Array...
+{
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, '5', 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, 5, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, true, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, false, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, null, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, void 0, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, [], 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, {}, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, ( x: number ): number => x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a tenth argument which is not a number...
+{
+	const work = new Float64Array( [ 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, '5', 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, true, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, false, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, null, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, void 0, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, [], 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, {}, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an eleventh argument which is not a number...
+{
+	const work = new Float64Array( [ 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, '5' ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, true ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, false ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, null ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, void 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, [] ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, {} ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
+{
+	const work = new Float64Array( [ 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange.ndarray(); // $ExpectError
+	dlange.ndarray( 'row-major' ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M' ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1 ); // $ExpectError
+	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/examples/index.js b/lib/node_modules/@stdlib/lapack/base/dlange/examples/index.js
new file mode 100644
index 00000000000..3d3c56637ad
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/examples/index.js
@@ -0,0 +1,29 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var Float64Array = require( '@stdlib/array/float64' );
+var dlange = require( './../lib' );
+
+var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+var work = new Float64Array( 2 );
+
+var out = dlange( 'row-major', 'M', 2, 3, A, 3, work );
+console.log( out );
+// out => 6.0
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js
new file mode 100644
index 00000000000..f7360f38541
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js
@@ -0,0 +1,68 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* LAPACK routine to return the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+*
+* @module @stdlib/lapack/base/dlange
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dlange = require( '@stdlib/lapack/base/dlange' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var work = new Float64Array( 2 );
+*
+* var out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
+* // out => 4.0
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dlange = require( '@stdlib/lapack/base/dlange' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var work = new Float64Array( 2 );
+*
+* var out = dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+* // out => 4.0
+*/
+
+// MODULES //
+
+var join = require( 'path' ).join;
+var tryRequire = require( '@stdlib/utils/try-require' );
+var isError = require( '@stdlib/assert/is-error' );
+var main = require( './main.js' );
+
+
+// MAIN //
+
+var dlange;
+var tmp = tryRequire( join( __dirname, './native.js' ) );
+if ( isError( tmp ) ) {
+	dlange = main;
+} else {
+	dlange = tmp;
+}
+
+
+// EXPORTS //
+
+module.exports = dlange;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js
index 3fca2630d5e..bce69c6fbe9 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js
@@ -28,7 +28,7 @@ var base = require( './base.js' );
 // MAIN //
 
 /**
-* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A using alternative indexing semantics.
 *
 * @param {string} order - storage layout
 * @param {string} norm - specifies the value to be returned
@@ -45,7 +45,7 @@ var base = require( './base.js' );
 * @returns {number} matrix norm
 *
 * @example
-* var Float64Array = require( `@stdlib/array/float64` );
+* var Float64Array = require( '@stdlib/array/float64' );
 *
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var work = new Float64Array( 2 );
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/package.json b/lib/node_modules/@stdlib/lapack/base/dlange/package.json
new file mode 100644
index 00000000000..8e07fb1494b
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/package.json
@@ -0,0 +1,68 @@
+{
+  "name": "@stdlib/lapack/base/dlange",
+  "version": "0.0.0",
+  "description": "Return the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.",
+  "license": "Apache-2.0",
+  "author": {
+    "name": "The Stdlib Authors",
+    "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+  },
+  "contributors": [
+    {
+      "name": "The Stdlib Authors",
+      "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+    }
+  ],
+  "main": "./lib",
+  "directories": {
+    "benchmark": "./benchmark",
+    "doc": "./docs",
+    "example": "./examples",
+    "lib": "./lib",
+    "test": "./test"
+  },
+  "types": "./docs/types",
+  "scripts": {},
+  "homepage": "https://github.com/stdlib-js/stdlib",
+  "repository": {
+    "type": "git",
+    "url": "git://github.com/stdlib-js/stdlib.git"
+  },
+  "bugs": {
+    "url": "https://github.com/stdlib-js/stdlib/issues"
+  },
+  "dependencies": {},
+  "devDependencies": {},
+  "engines": {
+    "node": ">=0.10.0",
+    "npm": ">2.7.0"
+  },
+  "os": [
+    "aix",
+    "darwin",
+    "freebsd",
+    "linux",
+    "macos",
+    "openbsd",
+    "sunos",
+    "win32",
+    "windows"
+  ],
+  "keywords": [
+    "stdlib",
+    "stdmath",
+    "mathematics",
+    "math",
+    "lapack",
+    "dlange",
+    "norm",
+    "absolute",
+    "subroutines",
+    "array",
+    "ndarray",
+    "matrix",
+    "float64",
+    "double",
+    "float64array"
+  ]
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.js b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.js
new file mode 100644
index 00000000000..56b6b40d299
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.js
@@ -0,0 +1,82 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var proxyquire = require( 'proxyquire' );
+var IS_BROWSER = require( '@stdlib/assert/is-browser' );
+var dlange = require( './../lib' );
+
+
+// VARIABLES //
+
+var opts = {
+	'skip': IS_BROWSER
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof dlange, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'attached to the main export is a method providing an ndarray interface', function test( t ) {
+	t.strictEqual( typeof dlange.ndarray, 'function', 'method is a function' );
+	t.end();
+});
+
+tape( 'if a native implementation is available, the main export is the native implementation', opts, function test( t ) {
+	var dlange = proxyquire( './../lib', {
+		'@stdlib/utils/try-require': tryRequire
+	});
+
+	t.strictEqual( dlange, mock, 'returns expected value' );
+	t.end();
+
+	function tryRequire() {
+		return mock;
+	}
+
+	function mock() {
+		// Mock...
+	}
+});
+
+tape( 'if a native implementation is not available, the main export is a JavaScript implementation', opts, function test( t ) {
+	var dlange;
+	var main;
+
+	main = require( './../lib/dlange.js' );
+
+	dlange = proxyquire( './../lib', {
+		'@stdlib/utils/try-require': tryRequire
+	});
+
+	t.strictEqual( dlange, main, 'returns expected value' );
+	t.end();
+
+	function tryRequire() {
+		return new Error( 'Cannot find module' );
+	}
+});

From 3ef8c38428e5dd1decca6f8caab69be194cb76c3 Mon Sep 17 00:00:00 2001
From: Pranavchiku <goswami.4@iitj.ac.in>
Date: Mon, 29 Jul 2024 21:53:07 +0530
Subject: [PATCH 03/16] fix: base implementation

---
 .../@stdlib/lapack/base/dlange/lib/base.js    | 26 +++++++++----------
 .../@stdlib/lapack/base/dlange/lib/dlange.js  |  2 +-
 2 files changed, 14 insertions(+), 14 deletions(-)

diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
index 1de78c93263..8b210f67b73 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
@@ -51,7 +51,7 @@ var isnan = require( '@stdlib/assert/is-nan' );
 * @returns {number} matrix norm
 *
 * @example
-* var Float64Array = require( `@stdlib/array/float64` );
+* var Float64Array = require( '@stdlib/array/float64' );
 *
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var work = new Float64Array( 2 );
@@ -105,9 +105,9 @@ function dlange( order, norm, M, N, A, strideA1, strideA2, offsetA, work, stride
 		if ( order === 'column-major' ) {
 			for ( j = 0; j < N; j++ ) {
 				sum = 0.0;
-				sa = offsetA + ( j * strideA1 );
+				sa = offsetA + ( j * strideA2 );
 				for ( i = 0; i < M; i++ ) {
-					sum += abs( A[ sa + ( i * strideA2 ) ] );
+					sum += abs( A[ sa + ( i * strideA1 ) ] );
 				}
 				if ( value < sum || isnan( sum ) ) {
 					value = sum;
@@ -116,11 +116,11 @@ function dlange( order, norm, M, N, A, strideA1, strideA2, offsetA, work, stride
 			return value;
 		}
 		// order === 'row-major'
-		for ( i = 0; i < M; i++ ) {
+		for ( j = 0; j < N; j++ ) {
 			sum = 0.0;
-			sa = offsetA + ( i * strideA2 );
-			for ( j = 0; j < N; j++ ) {
-				sum += abs( A[ sa + ( j * strideA1 ) ] );
+			sa = offsetA + ( j * strideA2 );
+			for ( i = 0; i < M; i++ ) {
+				sum += abs( A[ sa + ( i * strideA1 ) ] );
 			}
 			if ( value < sum || isnan( sum ) ) {
 				value = sum;
@@ -135,16 +135,16 @@ function dlange( order, norm, M, N, A, strideA1, strideA2, offsetA, work, stride
 		}
 		if ( order === 'column-major' ) {
 			for ( j = 0; j < N; j++ ) {
-				sa = offsetA + ( j * strideA1 );
+				sa = offsetA + ( j * strideA2 );
 				for ( i = 0; i < M; i++ ) {
-					work[ offsetW + ( i * strideW ) ] += abs( A[ sa + ( i * strideA2 ) ] );
+					work[ offsetW + ( i * strideW ) ] += abs( A[ sa + ( i * strideA1 ) ] );
 				}
 			}
 		} else { // order === 'row-major'
-			for ( i = 0; i < M; i++ ) {
-				sa = offsetA + ( i * strideA2 );
-				for ( j = 0; j < N; j++ ) {
-					work[ offsetW + ( i * strideW ) ] += abs( A[ sa + ( j * strideA1 ) ] );
+			for ( j = 0; j < N; j++ ) {
+				sa = offsetA + ( j * strideA2 );
+				for ( i = 0; i < M; i++ ) {
+					work[ offsetW + ( i * strideW ) ] += abs( A[ sa + ( i * strideA1 ) ] );
 				}
 			}
 		}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
index 0842e27aa95..41d08335ca5 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
@@ -41,7 +41,7 @@ var base = require( './base.js' );
 * @returns {number} matrix norm
 *
 * @example
-* var Float64Array = require( `@stdlib/array/float64` );
+* var Float64Array = require( '@stdlib/array/float64' );
 *
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var work = new Float64Array( 2 );

From ff0e955aacda163fa833f48fba0f5095029c13e8 Mon Sep 17 00:00:00 2001
From: Pranavchiku <goswami.4@iitj.ac.in>
Date: Mon, 29 Jul 2024 21:56:19 +0530
Subject: [PATCH 04/16] test: add ndarray and dlange implementation

---
 .../lapack/base/dlange/test/test.dlange.js    | 307 ++++++++++++++++++
 .../lapack/base/dlange/test/test.ndarray.js   |  38 +++
 2 files changed, 345 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlange/test/test.dlange.js
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlange/test/test.ndarray.js

diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.dlange.js b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.dlange.js
new file mode 100644
index 00000000000..0c7717a1762
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.dlange.js
@@ -0,0 +1,307 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var dlange = require( './../lib/dlange.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof dlange, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 7', function test( t ) {
+	t.strictEqual( dlange.length, 7, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function throws an error if provided an invalid first argument', function test( t ) {
+	var values;
+	var work;
+	var A;
+	var i;
+
+	values = [
+		'foo',
+		'bar',
+		'beep',
+		'boop'
+	];
+
+	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	work = new Float64Array( 4 );
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			dlange( value, 'M', 2, 2, A, 2, work );
+		};
+	}
+});
+
+tape( 'the function returns maximum absolute value of elements of a square real matrix ( row-major )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	work = new Float64Array( 2 );
+
+	out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
+	expected = 4.0;
+
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns maximum absolute value of elements of a real matrix ( row-major )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	work = new Float64Array( 2 );
+
+	out = dlange( 'row-major', 'M', 2, 3, A, 3, work );
+	expected = 6.0;
+
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns maximum absolute value of elements of a square real matrix ( column-major )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 1.0, 3.0, 2.0, 4.0 ] );
+	work = new Float64Array( 2 );
+
+	out = dlange( 'column-major', 'M', 2, 2, A, 2, work );
+	expected = 4.0;
+
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns maximum absolute value of elements of a real matrix ( column-major )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 1.0, 4.0, 2.0, 5.0, 3.0, 6.0 ] );
+	work = new Float64Array( 2 );
+
+	out = dlange( 'column-major', 'M', 3, 2, A, 2, work );
+	expected = 6.0;
+
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns the one norm of a square real matrix ( row-major )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	work = new Float64Array( 2 );
+
+	out = dlange( 'row-major', '1', 2, 2, A, 2, work );
+	expected = 6.0;
+
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'O', 2, 2, A, 2, work );
+
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'o', 2, 2, A, 2, work );
+
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns the one norm of a real matrix ( row-major )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	work = new Float64Array( 2 );
+
+	out = dlange( 'row-major', '1', 2, 3, A, 3, work );
+	expected = 9.0;
+
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'O', 2, 3, A, 3, work );
+
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'o', 2, 3, A, 3, work );
+
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns the one norm of a square real matrix ( column-major )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 1.0, 3.0, 2.0, 4.0 ] );
+	work = new Float64Array( 2 );
+
+	out = dlange( 'column-major', '1', 2, 2, A, 2, work );
+	expected = 6.0;
+
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'column-major', 'O', 2, 2, A, 2, work );
+
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'column-major', 'o', 2, 2, A, 2, work );
+
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns the one norm of a real matrix ( column-major )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 1.0, 4.0, 2.0, 5.0, 3.0, 6.0 ] );
+	work = new Float64Array( 2 );
+
+	out = dlange( 'column-major', '1', 3, 2, A, 2, work );
+	expected = 10.0;
+
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'column-major', 'O', 3, 2, A, 2, work );
+
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'column-major', 'o', 3, 2, A, 2, work );
+
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns the infinity norm of a square real matrix ( row-major )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	work = new Float64Array( 2 );
+
+	out = dlange( 'row-major', 'I', 2, 2, A, 2, work );
+	expected = 7.0;
+
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'i', 2, 2, A, 2, work );
+
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns the infinity norm of a real matrix ( row-major )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	work = new Float64Array( 3 );
+
+	out = dlange( 'row-major', 'I', 2, 3, A, 3, work );
+	expected = 15.0;
+
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'i', 2, 3, A, 3, work );
+
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns the infinity norm of a square real matrix ( column-major )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 1.0, 3.0, 2.0, 4.0 ] );
+	work = new Float64Array( 2 );
+
+	out = dlange( 'column-major', 'I', 2, 2, A, 2, work );
+	expected = 7.0;
+
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'column-major', 'i', 2, 2, A, 2, work );
+
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns the infinity norm of a real matrix ( column-major )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 1.0, 4.0, 2.0, 5.0, 3.0, 6.0 ] );
+	work = new Float64Array( 3 );
+
+	out = dlange( 'column-major', 'I', 3, 2, A, 2, work );
+	expected = 9.0;
+
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'column-major', 'i', 3, 2, A, 2, work );
+
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.ndarray.js
new file mode 100644
index 00000000000..780aba98965
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.ndarray.js
@@ -0,0 +1,38 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var dlange = require( './../lib/ndarray.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof dlange, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 11', function test( t ) {
+	t.strictEqual( dlange.length, 11, 'returns expected value' );
+	t.end();
+});

From 326d20e689b3b8d86ffd1e2b6947d31da11eed3f Mon Sep 17 00:00:00 2001
From: Pranavchiku <goswami.4@iitj.ac.in>
Date: Tue, 30 Jul 2024 18:38:04 +0530
Subject: [PATCH 05/16] chore: apply suggestion from code review

---
 lib/node_modules/@stdlib/lapack/base/dlange/README.md  | 10 +++++-----
 .../@stdlib/lapack/base/dlange/docs/types/index.d.ts   |  8 ++++----
 .../@stdlib/lapack/base/dlange/examples/index.js       |  1 -
 .../@stdlib/lapack/base/dlange/lib/base.js             |  2 +-
 .../@stdlib/lapack/base/dlange/lib/dlange.js           |  2 +-
 .../@stdlib/lapack/base/dlange/lib/index.js            |  4 ++--
 .../@stdlib/lapack/base/dlange/lib/ndarray.js          |  2 +-
 7 files changed, 14 insertions(+), 15 deletions(-)

diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/README.md b/lib/node_modules/@stdlib/lapack/base/dlange/README.md
index f71614aafce..761b3b85ed3 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/README.md
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/README.md
@@ -41,7 +41,7 @@ var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
 var work = new Float64Array( 2 );
 
 var out = dlange( 'row-major', 'M', 2, 3, A, 3, work );
-// out => 6.0
+// returns 6.0
 ```
 
 The function has the following parameters:
@@ -70,7 +70,7 @@ var A1 = new Float64Array( A0.buffer, A0.BYTES_PER_ELEMENT*1 ); // start at 2nd
 var WORK1 = new Float64Array( WORK0.buffer, WORK0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
 var out = dlange( 'row-major', 'M', 2, 3, A1, 3, WORK1 );
-// out => 6.0
+// returns 6.0
 ```
 
 #### dlange.ndarray( ord, norm, M, N, A, sa1, sa2, oa, work, sw, ow )
@@ -84,7 +84,7 @@ var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 var work = new Float64Array( 2 );
 
 var out = dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
-// out => 4.0
+// returns 4.0
 ```
 
 The function has the following additional parameters:
@@ -104,7 +104,7 @@ var A = new Float64Array( [ 0.0, 0.0, 1.0, 2.0, 3.0, 4.0 ] );
 var work = new Float64Array( 2 );
 
 var out = dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 2, work, 1, 0 );
-// out => 4.0
+// returns 4.0
 ```
 
 </section>
@@ -135,7 +135,7 @@ var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
 var work = new Float64Array( 2 );
 
 var out = dlange( 'row-major', 'M', 2, 3, A, 3, work );
-// out => 6.0
+// returns 6.0
 ```
 
 </section>
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts b/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts
index 6a159cb75d6..a448d87170f 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts
@@ -45,7 +45,7 @@ interface Routine {
 	* var work = new Float64Array( 2 );
 	*
 	* var out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
-	* // out => 4.0
+	* // returns 4.0
 	*/
 	( order: Layout, norm: string, M: number, N: number, A: Float64Array, LDA: number, work: Float64Array ): number;
 
@@ -72,7 +72,7 @@ interface Routine {
 	* var work = new Float64Array( 2 );
 	*
 	* var out = dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
-	* // out => 4.0
+	* // returns 4.0
 	*/
 	ndarray( order: Layout, norm: string, M: number, N: number, A: Float64Array, strideA1: number, strideA2: number, offsetA: number, work: Float64Array, strideW: number, offsetW: number ): number;
 }
@@ -96,7 +96,7 @@ interface Routine {
 * var work = new Float64Array( 2 );
 *
 * var out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
-* // out => 4.0
+* // returns 4.0
 *
 * @example
 * var Float64Array = require( `@stdlib/array/float64` );
@@ -105,7 +105,7 @@ interface Routine {
 * var work = new Float64Array( 2 );
 *
 * var out = dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
-* // out => 4.0
+* // returns 4.0
 */
 declare var dlange: Routine;
 
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/examples/index.js b/lib/node_modules/@stdlib/lapack/base/dlange/examples/index.js
index 3d3c56637ad..79a2b8c4998 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/examples/index.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/examples/index.js
@@ -26,4 +26,3 @@ var work = new Float64Array( 2 );
 
 var out = dlange( 'row-major', 'M', 2, 3, A, 3, work );
 console.log( out );
-// out => 6.0
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
index 8b210f67b73..4153187ff4d 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
@@ -57,7 +57,7 @@ var isnan = require( '@stdlib/assert/is-nan' );
 * var work = new Float64Array( 2 );
 *
 * var out = dlange( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
-* // out => 4.0
+* // returns 4.0
 */
 function dlange( order, norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) { // eslint-disable-line max-params
 	var scale;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
index 41d08335ca5..3b0dd23fe4d 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
@@ -47,7 +47,7 @@ var base = require( './base.js' );
 * var work = new Float64Array( 2 );
 *
 * var out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
-* // out => 4.0
+* // returns 4.0
 */
 function dlange( order, norm, M, N, A, LDA, work ) {
 	var sa1;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js
index f7360f38541..95f0d310c9f 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js
@@ -31,7 +31,7 @@
 * var work = new Float64Array( 2 );
 *
 * var out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
-* // out => 4.0
+* // returns 4.0
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
@@ -41,7 +41,7 @@
 * var work = new Float64Array( 2 );
 *
 * var out = dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
-* // out => 4.0
+* // returns 4.0
 */
 
 // MODULES //
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js
index bce69c6fbe9..6307a93ecb3 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js
@@ -51,7 +51,7 @@ var base = require( './base.js' );
 * var work = new Float64Array( 2 );
 *
 * var out = dlange( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
-* // out => 4.0
+* // returns 4.0
 */
 function dlange( order, norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) {  // eslint-disable-line max-params, max-len
 	if ( !isLayout( order ) ) {

From f3d895cecf6ac24a33dc6f21aeb2580775218058 Mon Sep 17 00:00:00 2001
From: Pranavchiku <goswami.4@iitj.ac.in>
Date: Tue, 30 Jul 2024 19:39:39 +0530
Subject: [PATCH 06/16] fix: base implementation for Forbenius norm

---
 .../@stdlib/lapack/base/dlange/lib/base.js        | 15 +++++++--------
 1 file changed, 7 insertions(+), 8 deletions(-)

diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
index 4153187ff4d..1896e4da3c2 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
@@ -60,7 +60,6 @@ var isnan = require( '@stdlib/assert/is-nan' );
 * // returns 4.0
 */
 function dlange( order, norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) { // eslint-disable-line max-params
-	var scale;
 	var value;
 	var sum;
 	var tmp;
@@ -159,20 +158,20 @@ function dlange( order, norm, M, N, A, strideA1, strideA2, offsetA, work, stride
 	}
 	if ( norm === 'f' ) {
 		// Find normF( A )
-		scale = 0.0;
-		sum = 1.0;
-		out = new Float64Array( 2 );
+		out = new Float64Array( [ 0.0, 1.0 ] );
 		if ( order === 'column-major' ) {
 			for ( j = 0; j < N; j++ ) {
-				out = dlassq( M, A, strideA2, offsetA + ( j * strideA1 ), scale, sum, out, 1, 0 );
+				out = dlassq( M, A, strideA1, offsetA + ( j * strideA2 ), out[ 0 ], out[ 1 ], out, 1, 0 );
 			}
-			value = scale * sqrt( out[ 1 ] );
+			value = out[ 0 ] * sqrt( out[ 1 ] );
 			return value;
 		}
 		// order === 'row-major'
-		for ( i = 0; i < M; i++ ) {
-			out = dlassq( N, A, strideA1, offsetA + ( i * strideA2 ), scale, sum, out, 1, 0 );
+		for ( j = 0; j < N; j++ ) {
+			out = dlassq( M, A, strideA1, offsetA + ( j * strideA2 ), out[ 0 ], out[ 1 ], out, 1, 0 );
 		}
+		value = out[ 0 ] * sqrt( out[ 1 ] );
+		return value;
 	}
 	return value;
 }

From d77e531f4c4d68507279655207e123ec5819cbdb Mon Sep 17 00:00:00 2001
From: Pranavchiku <goswami.4@iitj.ac.in>
Date: Tue, 30 Jul 2024 19:39:59 +0530
Subject: [PATCH 07/16] test: add tests for computation of Forbenius norm

---
 .../lapack/base/dlange/test/test.dlange.js    | 80 +++++++++++++++++++
 1 file changed, 80 insertions(+)

diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.dlange.js b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.dlange.js
index 0c7717a1762..9385859ae60 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.dlange.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.dlange.js
@@ -305,3 +305,83 @@ tape( 'the function returns the infinity norm of a real matrix ( column-major )'
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
+
+tape( 'the function returns the Frobenius norm of a square real matrix ( row-major )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	work = new Float64Array( 2 );
+
+	out = dlange( 'row-major', 'F', 2, 2, A, 2, work );
+	expected = 5.477225575051661;
+
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'f', 2, 2, A, 2, work );
+
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns the Frobenius norm of a real matrix ( row-major )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	work = new Float64Array( 3 );
+
+	out = dlange( 'row-major', 'F', 2, 3, A, 3, work );
+	expected = 9.539392014169456;
+
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'f', 2, 3, A, 3, work );
+
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns the Frobenius norm of a square real matrix ( column-major )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 1.0, 3.0, 2.0, 4.0 ] );
+	work = new Float64Array( 2 );
+
+	out = dlange( 'column-major', 'F', 2, 2, A, 2, work );
+	expected = 5.477225575051661;
+
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'column-major', 'f', 2, 2, A, 2, work );
+
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns the Frobenius norm of a real matrix ( column-major )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 1.0, 4.0, 2.0, 5.0, 3.0, 6.0 ] );
+	work = new Float64Array( 3 );
+
+	out = dlange( 'column-major', 'F', 3, 2, A, 2, work );
+	expected = 7.681145747868608;
+
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'column-major', 'f', 3, 2, A, 2, work );
+
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});

From b940a3621f85f779b26f92fb1771a1a857c65d8e Mon Sep 17 00:00:00 2001
From: Pranavchiku <goswami.4@iitj.ac.in>
Date: Tue, 30 Jul 2024 19:52:55 +0530
Subject: [PATCH 08/16] test: add ndarray tests

---
 .../lapack/base/dlange/test/test.ndarray.js   | 138 ++++++++++++++++++
 1 file changed, 138 insertions(+)

diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.ndarray.js
index 780aba98965..f5c9f15e2a2 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.ndarray.js
@@ -21,6 +21,7 @@
 // MODULES //
 
 var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
 var dlange = require( './../lib/ndarray.js' );
 
 
@@ -36,3 +37,140 @@ tape( 'the function has an arity of 11', function test( t ) {
 	t.strictEqual( dlange.length, 11, 'returns expected value' );
 	t.end();
 });
+
+tape( 'the function throws an error if provided an invalid first argument', function test( t ) {
+	var values;
+	var work;
+	var A;
+	var i;
+
+	values = [
+		'foo',
+		'bar',
+		'beep',
+		'boop'
+	];
+
+	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	work = new Float64Array( 4 );
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			dlange( value, 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+		};
+	}
+});
+
+tape( 'the function allows specifying offset for computation of norms ( offsetA = 4, offsetWork = 2 )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 1.0, 2.0, 3.0, 4.0 ] );
+	work = new Float64Array( [ 0.0, 0.0, 999.9, 999.9 ] );
+
+	out = dlange( 'row-major', 'M', 2, 2, A, 2, 1, 4, work, 1, 2 );
+	expected = 4.0;
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', '1', 2, 2, A, 2, 1, 4, work, 1, 2 );
+	expected = 6.0;
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'I', 2, 2, A, 2, 1, 4, work, 1, 2 );
+	expected = 7.0;
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'F', 2, 2, A, 2, 1, 4, work, 1, 2 );
+	expected = 5.477225575051661;
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function allows accessing elements from an input array which do not have contiguous column memory layout( row-major, strideA2 = 2, strideA1 = 3 )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 1.0, 999.9, 2.0, 3.0, 999.9, 4.0 ] );
+	work = new Float64Array( [ 0.0, 0.0, 999.9, 999.9 ] );
+
+	out = dlange( 'row-major', 'M', 2, 2, A, 3, 2, 4, work, 1, 2 );
+	expected = 4.0;
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', '1', 2, 2, A, 3, 2, 4, work, 1, 2 );
+	expected = 6.0;
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'I', 2, 2, A, 3, 2, 4, work, 1, 2 );
+	expected = 7.0;
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'F', 2, 2, A, 3, 2, 4, work, 1, 2 );
+	expected = 5.477225575051661;
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function allows accessing elements from an input array which do not have contiguous column & row memory layout( row-major, strideA2 = 2, strideA1 = 6 )', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 1.0, 999.9, 2.0, 999.9, 999.9, 999.9, 3.0, 999.9, 4.0 ] );
+	work = new Float64Array( [ 0.0, 999.9, 0.0, 999.9 ] );
+
+	out = dlange( 'row-major', 'M', 2, 2, A, 6, 2, 4, work, 2, 1 );
+	expected = 4.0;
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', '1', 2, 2, A, 6, 2, 4, work, 2, 1 );
+	expected = 6.0;
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'I', 2, 2, A, 6, 2, 4, work, 2, 1 );
+	expected = 7.0;
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'F', 2, 2, A, 6, 2, 4, work, 2, 1 );
+	expected = 5.477225575051661;
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports accessing elements in reverse order', function test( t ) {
+	var expected;
+	var work;
+	var out;
+	var A;
+
+	A = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 4.0, 999.9, 3.0, 999.9, 999.9, 999.9, 2.0, 999.9, 1.0 ] );
+	work = new Float64Array( [ 0.0, 999.9, 0.0, 999.9 ] );
+
+	out = dlange( 'row-major', 'M', 2, 2, A, -6, -2, 12, work, -1, 3 );
+	expected = 4.0;
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', '1', 2, 2, A, -6, -2, 12, work, -1, 3 );
+	expected = 6.0;
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'I', 2, 2, A, -6, -2, 12, work, -1, 3 );
+	expected = 7.0;
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'F', 2, 2, A, -6, -2, 12, work, -1, 3 );
+	expected = 5.477225575051661;
+	t.strictEqual( out, expected, 'returns expected value' );
+	t.end();
+});

From 1b13ca2ca8bb097e890f003a3c900cd72707921a Mon Sep 17 00:00:00 2001
From: Pranavchiku <goswami.4@iitj.ac.in>
Date: Wed, 31 Jul 2024 18:44:17 +0530
Subject: [PATCH 09/16] chore: add remaining files and refactor implementation

---
 .../@stdlib/lapack/base/dlange/README.md      |  21 +-
 .../dlange/benchmark/benchmark.ndarray.js     |   2 +-
 .../@stdlib/lapack/base/dlange/docs/repl.txt  | 101 ++++++++
 .../lapack/base/dlange/docs/types/index.d.ts  |  21 +-
 .../lapack/base/dlange/docs/types/test.ts     | 216 ++++++++----------
 .../@stdlib/lapack/base/dlange/lib/base.js    |  62 +++--
 .../@stdlib/lapack/base/dlange/lib/dlange.js  |   4 +-
 .../@stdlib/lapack/base/dlange/lib/index.js   |   4 +-
 .../@stdlib/lapack/base/dlange/lib/ndarray.js |  17 +-
 .../@stdlib/lapack/base/dlange/package.json   |   2 +-
 .../@stdlib/lapack/base/dlange/test/test.js   |   1 +
 .../lapack/base/dlange/test/test.ndarray.js   |  64 ++----
 12 files changed, 297 insertions(+), 218 deletions(-)
 create mode 100644 lib/node_modules/@stdlib/lapack/base/dlange/docs/repl.txt

diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/README.md b/lib/node_modules/@stdlib/lapack/base/dlange/README.md
index 761b3b85ed3..09049ce6e38 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/README.md
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/README.md
@@ -20,7 +20,7 @@ limitations under the License.
 
 # dlange
 
-> Return the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+> Return the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
 
 <section class = "usage">
 
@@ -32,7 +32,7 @@ var dlange = require( '@stdlib/lapack/base/dlange' );
 
 #### dlange( order, norm, M, N, A, LDA, work )
 
-Return the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+Return the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
@@ -73,9 +73,9 @@ var out = dlange( 'row-major', 'M', 2, 3, A1, 3, WORK1 );
 // returns 6.0
 ```
 
-#### dlange.ndarray( ord, norm, M, N, A, sa1, sa2, oa, work, sw, ow )
+#### dlange.ndarray( norm, M, N, A, sa1, sa2, oa, work, sw, ow )
 
-Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A using alternative indexing semantics.
+Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A using alternative indexing semantics.
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
@@ -83,15 +83,20 @@ var Float64Array = require( '@stdlib/array/float64' );
 var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 var work = new Float64Array( 2 );
 
-var out = dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+var out = dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
 // returns 4.0
 ```
 
-The function has the following additional parameters:
+The function has the following parameters:
 
+-   **norm**: specifies the value to be returned.
+-   **M**: number of rows in `A`.
+-   **N**: number of columns in `A`.
+-   **A**: input [`Float64Array`][mdn-float64array].
 -   **sa1**: stride of the first dimension of `A`.
 -   **sa2**: stride of the second dimension of `A`.
--   **oa**: starting index for `A`
+-   **oa**: starting index for `A`.
+-   **work**: workspace array.
 -   **sw**: stride length for `work`.
 -   **ow**: starting index for `work`.
 
@@ -103,7 +108,7 @@ var Float64Array = require( '@stdlib/array/float64' );
 var A = new Float64Array( [ 0.0, 0.0, 1.0, 2.0, 3.0, 4.0 ] );
 var work = new Float64Array( 2 );
 
-var out = dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 2, work, 1, 0 );
+var out = dlange.ndarray( 'M', 2, 2, A, 2, 1, 2, work, 1, 0 );
 // returns 4.0
 ```
 
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.ndarray.js
index e1176aa49ce..2a8415ff147 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.ndarray.js
@@ -66,7 +66,7 @@ function createBenchmark( N ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			z = dlange( 'column-major', values[ i%values.length ], N, N, A, 1, N, 0, work, 1, 0 );
+			z = dlange( values[ i%values.length ], N, N, A, 1, N, 0, work, 1, 0 );
 			if ( isnan( z ) ) {
 				b.fail( 'should not return NaN' );
 			}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/docs/repl.txt b/lib/node_modules/@stdlib/lapack/base/dlange/docs/repl.txt
new file mode 100644
index 00000000000..c72d12e04ef
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/docs/repl.txt
@@ -0,0 +1,101 @@
+
+{{alias}}( order, norm, M, N, A, LDA, work )
+    Return the value of one norm, or the Frobenius norm, or the infinity norm,
+    or the element of largest absolute value of a real matrix A.
+
+    Indexing is relative to the first index. To introduce an offset, use typed
+    array views.
+
+    Parameters
+    ----------
+    order: string
+        Row-major (C-style) or column-major (Fortran-style) order. Must be
+        either 'row-major' or 'column-major'.
+
+    norm: string
+        Specifies the value to be returned.
+
+    M: integer
+        Number of rows in `A`.
+
+    N: integer
+        Number of columns in `A`.
+
+    A: Float64Array
+        Input matrix `A`.
+
+    LDA: integer
+        Stride of the first dimension of `A` (a.k.a., leading dimension of the
+        matrix `A`).
+
+    work: Float64Array
+        Workspace array.
+
+    Returns
+    -------
+    out: number
+        Matrix norm.
+
+    Examples
+    --------
+    > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
+    > var work = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0 ] );
+    > {{alias}}( 'row-major', 'M', 2, 2, A, 2, work )
+    4.0
+
+
+{{alias}}.ndarray( norm, M, N, A, sa1, sa2, oa, work, sw, ow )
+    Returns the value of one norm, or the Frobenius norm, or the infinity norm,
+    or the element of largest absolute value of a real matrix A using
+    alternative indexing semantics.
+
+    While typed array views mandate a view offset based on the underlying
+    buffer, the offset parameters support indexing semantics based on starting
+    indices.
+
+    Parameters
+    ----------
+    norm: string
+        Specifies the value to be returned.
+
+    M: integer
+        Number of rows in `A`.
+
+    N: integer
+        Number of columns in `A`.
+
+    A: Float64Array
+        Input matrix `A`.
+
+    sa1: integer
+        Stride of the first dimension of `A`.
+
+    sa2: integer
+        Stride of the second dimension of `A`.
+
+    oa: integer
+        Starting index for `A`.
+
+    work: Float64Array
+        Workspace array.
+
+    sw: integer
+        Stride of the workspace array.
+
+    ow: integer
+        Starting index for the workspace array.
+
+    Returns
+    -------
+    out: number
+        Matrix norm.
+
+    Examples
+    --------
+    > var A = new {{alias:@stdlib/array/float64}}( [ 0.0, 1.0, 2.0, 3.0, 4.0 ] );
+    > var work = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0 ] );
+    > {{alias}}.ndarray( 'M', 2, 2, A, 2, 1, 1, work, 1, 1 )
+    4.0
+
+    See Also
+    --------
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts b/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts
index a448d87170f..b4f821eed66 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts
@@ -39,20 +39,19 @@ interface Routine {
 	* @returns matrix norm
 	*
 	* @example
-	* var Float64Array = require( `@stdlib/array/float64` );
+	* var Float64Array = require( '@stdlib/array/float64' );
 	*
 	* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 	* var work = new Float64Array( 2 );
 	*
 	* var out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
-	* // returns 4.0
+	* // out => 4.0
 	*/
 	( order: Layout, norm: string, M: number, N: number, A: Float64Array, LDA: number, work: Float64Array ): number;
 
 	/**
-	* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+	* Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A using alternative indexing semantics.
 	*
-	* @param order - storage layout
 	* @param norm - specifies the value to be returned
 	* @param M - number of rows of `A`
 	* @param N - number of columns of `A`
@@ -66,15 +65,15 @@ interface Routine {
 	* @returns matrix norm
 	*
 	* @example
-	* var Float64Array = require( `@stdlib/array/float64` );
+	* var Float64Array = require( '@stdlib/array/float64' );
 	*
 	* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 	* var work = new Float64Array( 2 );
 	*
-	* var out = dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+	* var out = dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
 	* // returns 4.0
 	*/
-	ndarray( order: Layout, norm: string, M: number, N: number, A: Float64Array, strideA1: number, strideA2: number, offsetA: number, work: Float64Array, strideW: number, offsetW: number ): number;
+	ndarray( norm: string, M: number, N: number, A: Float64Array, strideA1: number, strideA2: number, offsetA: number, work: Float64Array, strideW: number, offsetW: number ): number;
 }
 
 /**
@@ -90,21 +89,21 @@ interface Routine {
 * @returns matrix norm
 *
 * @example
-* var Float64Array = require( `@stdlib/array/float64` );
+* var Float64Array = require( '@stdlib/array/float64' );
 *
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var work = new Float64Array( 2 );
 *
 * var out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
-* // returns 4.0
+* // out => 4.0
 *
 * @example
-* var Float64Array = require( `@stdlib/array/float64` );
+* var Float64Array = require( '@stdlib/array/float64' );
 *
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var work = new Float64Array( 2 );
 *
-* var out = dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+* var out = dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
 * // returns 4.0
 */
 declare var dlange: Routine;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/test.ts b/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/test.ts
index 3b8ae37ab65..247e47dff8b 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/test.ts
@@ -154,7 +154,7 @@ import dlange = require( './index' );
 	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectType number
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectType number
 }
 
 // The compiler throws an error if the function is provided a first argument which is not a string...
@@ -162,29 +162,29 @@ import dlange = require( './index' );
 	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 5, 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( true, 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( false, 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( null, 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( void 0, 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( [], 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( {}, 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( ( x: number ): number => x, 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 5, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( true, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( false, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( null, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( void 0, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( [], 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( {}, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( ( x: number ): number => x, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
 }
 
-// The compiler throws an error if the function is provided a second argument which is not a string...
+// The compiler throws an error if the function is provided a second argument which is not a number...
 {
 	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'row-major', 5, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', true, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', false, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', null, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', void 0, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', [], 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', {}, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', ( x: number ): number => x, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', '5', 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', true, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', false, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', null, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', void 0, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', [], 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', {}, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', ( x: number ): number => x, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
 }
 
 // The compiler throws an error if the function is provided a third argument which is not a number...
@@ -192,44 +192,44 @@ import dlange = require( './index' );
 	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'row-major', 'M', '5', 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', true, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', false, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', null, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', void 0, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', [], 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', {}, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', ( x: number ): number => x, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, '5', A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, true, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, false, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, null, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, void 0, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, [], A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, {}, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, ( x: number ): number => x, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
 }
 
-// The compiler throws an error if the function is provided a fourth argument which is not a number...
+// The compiler throws an error if the function is provided a fourth argument which is not a Float64Array...
 {
 	const work = new Float64Array( [ 0.0, 0.0 ] );
-	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'row-major', 'M', 2, '5', A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, true, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, false, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, null, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, void 0, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, [], A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, {}, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, ( x: number ): number => x, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, '5', 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, 5, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, true, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, false, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, null, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, void 0, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, [], 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, {}, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, ( x: number ): number => x, 2, 1, 0, work, 1, 0 ); // $ExpectError
 }
 
-// The compiler throws an error if the function is provided a fifth argument which is not a Float64Array...
+// The compiler throws an error if the function is provided a fifth argument which is not a number...
 {
 	const work = new Float64Array( [ 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'row-major', 'M', 2, 2, '5', 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, 5, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, true, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, false, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, null, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, void 0, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, [], 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, {}, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, ( x: number ): number => x, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, '5', 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, true, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, false, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, null, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, void 0, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, [], 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, {}, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, ( x: number ): number => x, 1, 0, work, 1, 0 ); // $ExpectError
 }
 
 // The compiler throws an error if the function is provided a sixth argument which is not a number...
@@ -237,14 +237,14 @@ import dlange = require( './index' );
 	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, '5', 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, true, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, false, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, null, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, void 0, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, [], 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, {}, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, ( x: number ): number => x, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, '5', 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, true, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, false, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, null, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, void 0, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, [], 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, {}, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, ( x: number ): number => x, 0, work, 1, 0 ); // $ExpectError
 }
 
 // The compiler throws an error if the function is provided a seventh argument which is not a number...
@@ -252,74 +252,59 @@ import dlange = require( './index' );
 	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, '5', 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, true, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, false, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, null, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, void 0, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, [], 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, {}, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, ( x: number ): number => x, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, '5', work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, true, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, false, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, null, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, void 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, [], work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, {}, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, ( x: number ): number => x, work, 1, 0 ); // $ExpectError
 }
 
-// The compiler throws an error if the function is provided an eighth argument which is not a number...
+// The compiler throws an error if the function is provided an eighth argument which is not a Float64Array...
 {
-	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, '5', work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, true, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, false, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, null, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, void 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, [], work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, {}, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, ( x: number ): number => x, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, '5', 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, 5, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, true, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, false, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, null, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, void 0, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, [], 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, {}, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, ( x: number ): number => x, 1, 0 ); // $ExpectError
 }
 
-// The compiler throws an error if the function is provided a ninth argument which is not a Float64Array...
-{
-	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
-
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, '5', 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, 5, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, true, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, false, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, null, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, void 0, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, [], 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, {}, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, ( x: number ): number => x, 1, 0 ); // $ExpectError
-}
-
-// The compiler throws an error if the function is provided a tenth argument which is not a number...
+// The compiler throws an error if the function is provided a ninth argument which is not a number...
 {
 	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, '5', 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, true, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, false, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, null, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, void 0, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, [], 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, {}, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, ( x: number ): number => x, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, '5', 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, true, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, false, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, null, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, void 0, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, [], 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, {}, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, ( x: number ): number => x, 0 ); // $ExpectError
 }
 
-// The compiler throws an error if the function is provided an eleventh argument which is not a number...
+// The compiler throws an error if the function is provided a tenth argument which is not a number...
 {
 	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, '5' ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, true ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, false ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, null ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, void 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, [] ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, {} ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, ( x: number ): number => x ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, '5' ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, true ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, false ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, null ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, void 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, [] ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, {} ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, ( x: number ): number => x ); // $ExpectError
 }
 
 // The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
@@ -328,15 +313,14 @@ import dlange = require( './index' );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
 	dlange.ndarray(); // $ExpectError
-	dlange.ndarray( 'row-major' ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M' ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1 ); // $ExpectError
-	dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0, 10 ); // $ExpectError
+	dlange.ndarray( 'M' ); // $ExpectError
+	dlange.ndarray( 'M', 2 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1 ); // $ExpectError
+	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, 0, 10 ); // $ExpectError
 }
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
index 1896e4da3c2..ff404623c68 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
@@ -22,6 +22,7 @@
 
 // MODULES //
 
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
 var dlassq = require( '@stdlib/lapack/base/dlassq' ).ndarray;
 var lowercase = require( '@stdlib/string/base/lowercase' );
 var sqrt = require( '@stdlib/math/base/special/sqrt' );
@@ -34,10 +35,9 @@ var isnan = require( '@stdlib/assert/is-nan' );
 // MAIN //
 
 /**
-* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+* Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
 *
 * @private
-* @param {string} order - storage layout
 * @param {string} norm - specifies the value to be returned
 * @param {NonNegativeInteger} M - number of rows of `A`
 * @param {NonNegativeInteger} N - number of columns of `A`
@@ -56,19 +56,35 @@ var isnan = require( '@stdlib/assert/is-nan' );
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var work = new Float64Array( 2 );
 *
-* var out = dlange( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+* var out = dlange( 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
 * // returns 4.0
 */
-function dlange( order, norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) { // eslint-disable-line max-params
+function dlange( norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) {
+	var order;
 	var value;
 	var sum;
 	var tmp;
 	var out;
+	var sa0;
+	var sa1;
 	var sa;
 	var i;
 	var j;
 
 	norm = lowercase( norm );
+
+	if ( isRowMajor( [ strideA1, strideA2 ] ) ) {
+		// For row-major matrices, the last dimension has the fastest changing index...
+		order = 'row-major';
+		sa0 = strideA2; // stride for innermost loop
+		sa1 = strideA1; // stride for outermost loop
+	} else { // order == 'column-major'
+		// For column-major matrices, the first dimension has the fastest changing index...
+		order = 'column-major';
+		sa0 = strideA1;
+		sa1 = strideA2;
+	}
+
 	if ( min( M, N ) === 0.0 ) {
 		value = 0.0;
 	} else if ( norm === 'm' ) {
@@ -76,9 +92,9 @@ function dlange( order, norm, M, N, A, strideA1, strideA2, offsetA, work, stride
 		value = 0.0;
 		if ( order === 'column-major' ) {
 			for ( j = 0; j < N; j++ ) {
-				sa = offsetA + ( j * strideA1 );
+				sa = offsetA + ( j * sa0 );
 				for ( i = 0; i < M; i++ ) {
-					tmp = abs( A[ sa + ( i * strideA2 ) ] );
+					tmp = abs( A[ sa + ( i * sa1 ) ] );
 					if ( value <= tmp || isnan( tmp ) ) {
 						value = tmp;
 					}
@@ -87,10 +103,10 @@ function dlange( order, norm, M, N, A, strideA1, strideA2, offsetA, work, stride
 			return value;
 		}
 		// order === 'row-major'
-		for ( j = 0; j < N; j++ ) {
-			sa = offsetA + ( j * strideA2 );
-			for ( i = 0; i < M; i++ ) {
-				tmp = abs( A[ sa + ( i * strideA1 ) ] );
+		for ( j = 0; j < M; j++ ) {
+			sa = offsetA + ( j * sa1 );
+			for ( i = 0; i < N; i++ ) {
+				tmp = abs( A[ sa + ( i * sa0 ) ] );
 				if ( value <= tmp || isnan( tmp ) ) {
 					value = tmp;
 				}
@@ -104,9 +120,9 @@ function dlange( order, norm, M, N, A, strideA1, strideA2, offsetA, work, stride
 		if ( order === 'column-major' ) {
 			for ( j = 0; j < N; j++ ) {
 				sum = 0.0;
-				sa = offsetA + ( j * strideA2 );
+				sa = offsetA + ( j * sa1 );
 				for ( i = 0; i < M; i++ ) {
-					sum += abs( A[ sa + ( i * strideA1 ) ] );
+					sum += abs( A[ sa + ( i * sa0 ) ] );
 				}
 				if ( value < sum || isnan( sum ) ) {
 					value = sum;
@@ -115,11 +131,14 @@ function dlange( order, norm, M, N, A, strideA1, strideA2, offsetA, work, stride
 			return value;
 		}
 		// order === 'row-major'
+		// For computing one norm, first dimension has the fastest changing index...
+		sa0 = strideA1;
+		sa1 = strideA2;
 		for ( j = 0; j < N; j++ ) {
 			sum = 0.0;
-			sa = offsetA + ( j * strideA2 );
+			sa = offsetA + ( j * sa1 );
 			for ( i = 0; i < M; i++ ) {
-				sum += abs( A[ sa + ( i * strideA1 ) ] );
+				sum += abs( A[ sa + ( i * sa0 ) ] );
 			}
 			if ( value < sum || isnan( sum ) ) {
 				value = sum;
@@ -134,16 +153,19 @@ function dlange( order, norm, M, N, A, strideA1, strideA2, offsetA, work, stride
 		}
 		if ( order === 'column-major' ) {
 			for ( j = 0; j < N; j++ ) {
-				sa = offsetA + ( j * strideA2 );
+				sa = offsetA + ( j * sa1 );
 				for ( i = 0; i < M; i++ ) {
-					work[ offsetW + ( i * strideW ) ] += abs( A[ sa + ( i * strideA1 ) ] );
+					work[ offsetW + ( i * strideW ) ] += abs( A[ sa + ( i * sa0 ) ] );
 				}
 			}
 		} else { // order === 'row-major'
+			// For computing infinity norm, first dimension has the fastest changing index...
+			sa0 = strideA1;
+			sa1 = strideA2;
 			for ( j = 0; j < N; j++ ) {
-				sa = offsetA + ( j * strideA2 );
+				sa = offsetA + ( j * sa1 );
 				for ( i = 0; i < M; i++ ) {
-					work[ offsetW + ( i * strideW ) ] += abs( A[ sa + ( i * strideA1 ) ] );
+					work[ offsetW + ( i * strideW ) ] += abs( A[ sa + ( i * sa0 ) ] );
 				}
 			}
 		}
@@ -161,14 +183,14 @@ function dlange( order, norm, M, N, A, strideA1, strideA2, offsetA, work, stride
 		out = new Float64Array( [ 0.0, 1.0 ] );
 		if ( order === 'column-major' ) {
 			for ( j = 0; j < N; j++ ) {
-				out = dlassq( M, A, strideA1, offsetA + ( j * strideA2 ), out[ 0 ], out[ 1 ], out, 1, 0 );
+				out = dlassq( M, A, sa0, offsetA + ( j * sa1 ), out[ 0 ], out[ 1 ], out, 1, 0 );
 			}
 			value = out[ 0 ] * sqrt( out[ 1 ] );
 			return value;
 		}
 		// order === 'row-major'
 		for ( j = 0; j < N; j++ ) {
-			out = dlassq( M, A, strideA1, offsetA + ( j * strideA2 ), out[ 0 ], out[ 1 ], out, 1, 0 );
+			out = dlassq( M, A, sa1, offsetA + ( j * sa0 ), out[ 0 ], out[ 1 ], out, 1, 0 );
 		}
 		value = out[ 0 ] * sqrt( out[ 1 ] );
 		return value;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
index 3b0dd23fe4d..c0efd36fa70 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
@@ -28,7 +28,7 @@ var base = require( './base.js' );
 // MAIN //
 
 /**
-* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+* Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
 *
 * @param {string} order - storage layout
 * @param {string} norm - specifies the value to be returned
@@ -63,7 +63,7 @@ function dlange( order, norm, M, N, A, LDA, work ) {
 		sa1 = LDA;
 		sa2 = 1;
 	}
-	return base( order, norm, M, N, A, sa1, sa2, 0, work, 1, 0 );
+	return base( norm, M, N, A, sa1, sa2, 0, work, 1, 0 );
 }
 
 
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js
index 95f0d310c9f..f0626fc1a9a 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js
@@ -31,7 +31,7 @@
 * var work = new Float64Array( 2 );
 *
 * var out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
-* // returns 4.0
+* // out => 4.0
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
@@ -40,7 +40,7 @@
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var work = new Float64Array( 2 );
 *
-* var out = dlange.ndarray( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+* var out = dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
 * // returns 4.0
 */
 
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js
index 6307a93ecb3..e4707db3239 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js
@@ -16,21 +16,20 @@
 * limitations under the License.
 */
 
+/* eslint-disable max-len */
+
 'use strict';
 
 // MODULES //
 
-var isLayout = require( '@stdlib/blas/base/assert/is-layout' );
-var format = require( '@stdlib/string/format' );
 var base = require( './base.js' );
 
 
 // MAIN //
 
 /**
-* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A using alternative indexing semantics.
+* Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A using alternative indexing semantics.
 *
-* @param {string} order - storage layout
 * @param {string} norm - specifies the value to be returned
 * @param {NonNegativeInteger} M - number of rows of `A`
 * @param {NonNegativeInteger} N - number of columns of `A`
@@ -41,7 +40,6 @@ var base = require( './base.js' );
 * @param {Float64Array} work - workspace array
 * @param {integer} strideW - stride length for `work`
 * @param {PositiveInteger} offsetW - starting index for `work`
-* @throws {TypeError} first argument must be a valid order
 * @returns {number} matrix norm
 *
 * @example
@@ -50,14 +48,11 @@ var base = require( './base.js' );
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var work = new Float64Array( 2 );
 *
-* var out = dlange( 'row-major', 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+* var out = dlange( 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
 * // returns 4.0
 */
-function dlange( order, norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) {  // eslint-disable-line max-params, max-len
-	if ( !isLayout( order ) ) {
-		throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) );
-	}
-	return base( order, norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ); // eslint-disable-line max-len
+function dlange( norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) {
+	return base( norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW );
 }
 
 
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/package.json b/lib/node_modules/@stdlib/lapack/base/dlange/package.json
index 8e07fb1494b..b1059245706 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/package.json
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/package.json
@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/lapack/base/dlange",
   "version": "0.0.0",
-  "description": "Return the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.",
+  "description": "Return the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.js b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.js
index 56b6b40d299..f9d9beab3ae 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.js
@@ -1,3 +1,4 @@
+
 /**
 * @license Apache-2.0
 *
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.ndarray.js
index f5c9f15e2a2..b0bd4343880 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.ndarray.js
@@ -33,39 +33,11 @@ tape( 'main export is a function', function test( t ) {
 	t.end();
 });
 
-tape( 'the function has an arity of 11', function test( t ) {
-	t.strictEqual( dlange.length, 11, 'returns expected value' );
+tape( 'the function has an arity of 10', function test( t ) {
+	t.strictEqual( dlange.length, 10, 'returns expected value' );
 	t.end();
 });
 
-tape( 'the function throws an error if provided an invalid first argument', function test( t ) {
-	var values;
-	var work;
-	var A;
-	var i;
-
-	values = [
-		'foo',
-		'bar',
-		'beep',
-		'boop'
-	];
-
-	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
-	work = new Float64Array( 4 );
-
-	for ( i = 0; i < values.length; i++ ) {
-		t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
-	}
-	t.end();
-
-	function badValue( value ) {
-		return function badValue() {
-			dlange( value, 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
-		};
-	}
-});
-
 tape( 'the function allows specifying offset for computation of norms ( offsetA = 4, offsetWork = 2 )', function test( t ) {
 	var expected;
 	var work;
@@ -75,19 +47,19 @@ tape( 'the function allows specifying offset for computation of norms ( offsetA
 	A = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 1.0, 2.0, 3.0, 4.0 ] );
 	work = new Float64Array( [ 0.0, 0.0, 999.9, 999.9 ] );
 
-	out = dlange( 'row-major', 'M', 2, 2, A, 2, 1, 4, work, 1, 2 );
+	out = dlange( 'M', 2, 2, A, 2, 1, 4, work, 1, 2 );
 	expected = 4.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', '1', 2, 2, A, 2, 1, 4, work, 1, 2 );
+	out = dlange( '1', 2, 2, A, 2, 1, 4, work, 1, 2 );
 	expected = 6.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', 'I', 2, 2, A, 2, 1, 4, work, 1, 2 );
+	out = dlange( 'I', 2, 2, A, 2, 1, 4, work, 1, 2 );
 	expected = 7.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', 'F', 2, 2, A, 2, 1, 4, work, 1, 2 );
+	out = dlange( 'F', 2, 2, A, 2, 1, 4, work, 1, 2 );
 	expected = 5.477225575051661;
 	t.strictEqual( out, expected, 'returns expected value' );
 
@@ -103,19 +75,19 @@ tape( 'the function allows accessing elements from an input array which do not h
 	A = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 1.0, 999.9, 2.0, 3.0, 999.9, 4.0 ] );
 	work = new Float64Array( [ 0.0, 0.0, 999.9, 999.9 ] );
 
-	out = dlange( 'row-major', 'M', 2, 2, A, 3, 2, 4, work, 1, 2 );
+	out = dlange( 'M', 2, 2, A, 3, 2, 4, work, 1, 2 );
 	expected = 4.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', '1', 2, 2, A, 3, 2, 4, work, 1, 2 );
+	out = dlange( '1', 2, 2, A, 3, 2, 4, work, 1, 2 );
 	expected = 6.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', 'I', 2, 2, A, 3, 2, 4, work, 1, 2 );
+	out = dlange( 'I', 2, 2, A, 3, 2, 4, work, 1, 2 );
 	expected = 7.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', 'F', 2, 2, A, 3, 2, 4, work, 1, 2 );
+	out = dlange( 'F', 2, 2, A, 3, 2, 4, work, 1, 2 );
 	expected = 5.477225575051661;
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
@@ -130,19 +102,19 @@ tape( 'the function allows accessing elements from an input array which do not h
 	A = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 1.0, 999.9, 2.0, 999.9, 999.9, 999.9, 3.0, 999.9, 4.0 ] );
 	work = new Float64Array( [ 0.0, 999.9, 0.0, 999.9 ] );
 
-	out = dlange( 'row-major', 'M', 2, 2, A, 6, 2, 4, work, 2, 1 );
+	out = dlange( 'M', 2, 2, A, 6, 2, 4, work, 2, 1 );
 	expected = 4.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', '1', 2, 2, A, 6, 2, 4, work, 2, 1 );
+	out = dlange( '1', 2, 2, A, 6, 2, 4, work, 2, 1 );
 	expected = 6.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', 'I', 2, 2, A, 6, 2, 4, work, 2, 1 );
+	out = dlange( 'I', 2, 2, A, 6, 2, 4, work, 2, 1 );
 	expected = 7.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', 'F', 2, 2, A, 6, 2, 4, work, 2, 1 );
+	out = dlange( 'F', 2, 2, A, 6, 2, 4, work, 2, 1 );
 	expected = 5.477225575051661;
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
@@ -157,19 +129,19 @@ tape( 'the function supports accessing elements in reverse order', function test
 	A = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 4.0, 999.9, 3.0, 999.9, 999.9, 999.9, 2.0, 999.9, 1.0 ] );
 	work = new Float64Array( [ 0.0, 999.9, 0.0, 999.9 ] );
 
-	out = dlange( 'row-major', 'M', 2, 2, A, -6, -2, 12, work, -1, 3 );
+	out = dlange( 'M', 2, 2, A, -6, -2, 12, work, -1, 3 );
 	expected = 4.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', '1', 2, 2, A, -6, -2, 12, work, -1, 3 );
+	out = dlange( '1', 2, 2, A, -6, -2, 12, work, -1, 3 );
 	expected = 6.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', 'I', 2, 2, A, -6, -2, 12, work, -1, 3 );
+	out = dlange( 'I', 2, 2, A, -6, -2, 12, work, -1, 3 );
 	expected = 7.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', 'F', 2, 2, A, -6, -2, 12, work, -1, 3 );
+	out = dlange( 'F', 2, 2, A, -6, -2, 12, work, -1, 3 );
 	expected = 5.477225575051661;
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();

From 983a2923d5dcb36b15b2f0fb10838569cc7bdfd3 Mon Sep 17 00:00:00 2001
From: Pranavchiku <goswami.4@iitj.ac.in>
Date: Wed, 31 Jul 2024 18:47:43 +0530
Subject: [PATCH 10/16] chore: apply suggestion from code review

---
 lib/node_modules/@stdlib/lapack/base/dlange/README.md       | 6 +++---
 lib/node_modules/@stdlib/lapack/base/dlange/docs/repl.txt   | 6 +++---
 .../@stdlib/lapack/base/dlange/docs/types/index.d.ts        | 6 +++---
 lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js     | 2 +-
 lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js   | 2 +-
 lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js    | 2 +-
 lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js  | 2 +-
 lib/node_modules/@stdlib/lapack/base/dlange/package.json    | 2 +-
 8 files changed, 14 insertions(+), 14 deletions(-)

diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/README.md b/lib/node_modules/@stdlib/lapack/base/dlange/README.md
index 09049ce6e38..ec6d3fd14f8 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/README.md
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/README.md
@@ -20,7 +20,7 @@ limitations under the License.
 
 # dlange
 
-> Return the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+> Return the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A`.
 
 <section class = "usage">
 
@@ -32,7 +32,7 @@ var dlange = require( '@stdlib/lapack/base/dlange' );
 
 #### dlange( order, norm, M, N, A, LDA, work )
 
-Return the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A`.
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
@@ -75,7 +75,7 @@ var out = dlange( 'row-major', 'M', 2, 3, A1, 3, WORK1 );
 
 #### dlange.ndarray( norm, M, N, A, sa1, sa2, oa, work, sw, ow )
 
-Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A using alternative indexing semantics.
+Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A` using alternative indexing semantics.
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/docs/repl.txt b/lib/node_modules/@stdlib/lapack/base/dlange/docs/repl.txt
index c72d12e04ef..3c8826d1d66 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/docs/repl.txt
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/docs/repl.txt
@@ -1,7 +1,7 @@
 
 {{alias}}( order, norm, M, N, A, LDA, work )
-    Return the value of one norm, or the Frobenius norm, or the infinity norm,
-    or the element of largest absolute value of a real matrix A.
+    Returns the value of one norm, or the Frobenius norm, or the infinity norm,
+    or the element of largest absolute value of a real matrix `A`.
 
     Indexing is relative to the first index. To introduce an offset, use typed
     array views.
@@ -46,7 +46,7 @@
 
 {{alias}}.ndarray( norm, M, N, A, sa1, sa2, oa, work, sw, ow )
     Returns the value of one norm, or the Frobenius norm, or the infinity norm,
-    or the element of largest absolute value of a real matrix A using
+    or the element of largest absolute value of a real matrix `A` using
     alternative indexing semantics.
 
     While typed array views mandate a view offset based on the underlying
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts b/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts
index b4f821eed66..4875aa352aa 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts
@@ -27,7 +27,7 @@ import { Layout } from '@stdlib/types/blas';
 */
 interface Routine {
 	/**
-	* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+	* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A`.
 	*
 	* @param order - storage layout
 	* @param norm - specifies the value to be returned
@@ -50,7 +50,7 @@ interface Routine {
 	( order: Layout, norm: string, M: number, N: number, A: Float64Array, LDA: number, work: Float64Array ): number;
 
 	/**
-	* Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A using alternative indexing semantics.
+	* Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A` using alternative indexing semantics.
 	*
 	* @param norm - specifies the value to be returned
 	* @param M - number of rows of `A`
@@ -77,7 +77,7 @@ interface Routine {
 }
 
 /**
-* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A`.
 *
 * @param order - storage layout
 * @param norm - specifies the value to be returned
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
index ff404623c68..ffccad57e5a 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
@@ -35,7 +35,7 @@ var isnan = require( '@stdlib/assert/is-nan' );
 // MAIN //
 
 /**
-* Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+* Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A`.
 *
 * @private
 * @param {string} norm - specifies the value to be returned
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
index c0efd36fa70..7269dcae141 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
@@ -28,7 +28,7 @@ var base = require( './base.js' );
 // MAIN //
 
 /**
-* Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+* Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A`.
 *
 * @param {string} order - storage layout
 * @param {string} norm - specifies the value to be returned
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js
index f0626fc1a9a..c35cce798a4 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js
@@ -19,7 +19,7 @@
 'use strict';
 
 /**
-* LAPACK routine to return the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.
+* LAPACK routine to return the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A`.
 *
 * @module @stdlib/lapack/base/dlange
 *
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js
index e4707db3239..138a9385bcc 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js
@@ -28,7 +28,7 @@ var base = require( './base.js' );
 // MAIN //
 
 /**
-* Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A using alternative indexing semantics.
+* Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A` using alternative indexing semantics.
 *
 * @param {string} norm - specifies the value to be returned
 * @param {NonNegativeInteger} M - number of rows of `A`
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/package.json b/lib/node_modules/@stdlib/lapack/base/dlange/package.json
index b1059245706..34b6595a3e4 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/package.json
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/package.json
@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/lapack/base/dlange",
   "version": "0.0.0",
-  "description": "Return the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix A.",
+  "description": "Return the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A`.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",

From c5254fa42ab6ab74172f351dd2855a0be3c3d352 Mon Sep 17 00:00:00 2001
From: Pranav <85227306+Pranavchiku@users.noreply.github.com>
Date: Wed, 31 Jul 2024 18:53:33 +0530
Subject: [PATCH 11/16] chore: apply suggestions from code review

Signed-off-by: Pranav <85227306+Pranavchiku@users.noreply.github.com>
---
 lib/node_modules/@stdlib/lapack/base/dlange/package.json | 1 +
 lib/node_modules/@stdlib/lapack/base/dlange/test/test.js | 1 -
 2 files changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/package.json b/lib/node_modules/@stdlib/lapack/base/dlange/package.json
index 34b6595a3e4..e7062860794 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/package.json
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/package.json
@@ -57,6 +57,7 @@
     "dlange",
     "norm",
     "absolute",
+    "Frobenius",
     "subroutines",
     "array",
     "ndarray",
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.js b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.js
index f9d9beab3ae..56b6b40d299 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.js
@@ -1,4 +1,3 @@
-
 /**
 * @license Apache-2.0
 *

From 300e35860b928ef46168c60b8df526b992ecd986 Mon Sep 17 00:00:00 2001
From: Pranav <85227306+Pranavchiku@users.noreply.github.com>
Date: Wed, 31 Jul 2024 23:22:51 +0530
Subject: [PATCH 12/16] chore: apply suggestion from code review

Signed-off-by: Pranav <85227306+Pranavchiku@users.noreply.github.com>
---
 lib/node_modules/@stdlib/lapack/base/dlange/package.json | 1 -
 1 file changed, 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/package.json b/lib/node_modules/@stdlib/lapack/base/dlange/package.json
index e7062860794..34b6595a3e4 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/package.json
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/package.json
@@ -57,7 +57,6 @@
     "dlange",
     "norm",
     "absolute",
-    "Frobenius",
     "subroutines",
     "array",
     "ndarray",

From 94d1264e11945a33f4fda2d4b2a4fe78680405bb Mon Sep 17 00:00:00 2001
From: Pranavchiku <goswami.4@iitj.ac.in>
Date: Thu, 1 Aug 2024 20:52:14 +0530
Subject: [PATCH 13/16] refactor: breakdown base implementation

---
 .../@stdlib/lapack/base/dlange/lib/base.js    | 304 +++++++++++-------
 1 file changed, 189 insertions(+), 115 deletions(-)

diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
index ffccad57e5a..c4eac7a8c01 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
@@ -32,6 +32,191 @@ var min = require( '@stdlib/math/base/special/min' );
 var isnan = require( '@stdlib/assert/is-nan' );
 
 
+// FUNCTIONS //
+
+/**
+* Computes maximum absolute norm for given matrix `A`.
+*
+* @private
+* @param {string} order - storage layout
+* @param {NonNegativeInteger} M - number of rows of `A`
+* @param {NonNegativeInteger} N - number of columns of `A`
+* @param {Float64Array} A - input array
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {PositiveInteger} offsetA - starting index for `A`
+* @returns {number} maximum absolute norm
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+*
+* var out = maxAbsNorm( 'row-major', 2, 2, A, 2, 1, 0 );
+* // returns 4.0
+*/
+function maxAbsNorm( order, M, N, A, strideA1, strideA2, offsetA ) {
+	var value;
+	var tmp;
+	var sa;
+	var i;
+	var j;
+
+	// Find max( abs( A[ i, j ] ) )
+	value = 0.0;
+	if ( order === 'column-major' ) {
+		for ( j = 0; j < N; j++ ) {
+			sa = offsetA + ( j * strideA1 );
+			for ( i = 0; i < M; i++ ) {
+				tmp = abs( A[ sa + ( i * strideA2 ) ] );
+				if ( value <= tmp || isnan( tmp ) ) {
+					value = tmp;
+				}
+			}
+		}
+		return value;
+	}
+	// order === 'row-major'
+	for ( j = 0; j < N; j++ ) {
+		sa = offsetA + ( j * strideA2 );
+		for ( i = 0; i < M; i++ ) {
+			tmp = abs( A[ sa + ( i * strideA1 ) ] );
+			if ( value <= tmp || isnan( tmp ) ) {
+				value = tmp;
+			}
+		}
+	}
+	return value;
+}
+
+/**
+* Computes one norm for a given matrix `A`.
+*
+* @private
+* @param {NonNegativeInteger} M - number of rows of `A`
+* @param {NonNegativeInteger} N - number of columns of `A`
+* @param {Float64Array} A - input array
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {PositiveInteger} offsetA - starting index for `A`
+* @returns {number} one norm
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+*
+* var out = oneNorm( 2, 2, A, 2, 1, 0 );
+* // returns 6.0
+*/
+function oneNorm( M, N, A, strideA1, strideA2, offsetA ) {
+	var value;
+	var sum;
+	var sa;
+	var i;
+	var j;
+
+	// Find norm1( A )
+	value = 0.0;
+	for ( j = 0; j < N; j++ ) {
+		sum = 0.0;
+		sa = offsetA + ( j * strideA2 );
+		for ( i = 0; i < M; i++ ) {
+			sum += abs( A[ sa + ( i * strideA1 ) ] );
+		}
+		if ( value < sum || isnan( sum ) ) {
+			value = sum;
+		}
+	}
+	return value;
+}
+
+/**
+* Computes infinity norm for a given matrix `A`.
+*
+* @private
+* @param {NonNegativeInteger} M - number of rows of `A`
+* @param {NonNegativeInteger} N - number of columns of `A`
+* @param {Float64Array} A - input array
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {PositiveInteger} offsetA - starting index for `A`
+* @param {Float64Array} work - workspace array
+* @param {integer} strideW - stride length for `work`
+* @param {PositiveInteger} offsetW - starting index for `work`
+* @returns {number} one norm
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var work = new Float64Array( 2 );
+*
+* var out = infNorm( 2, 2, A, 2, 1, 0, work, 1, 0 );
+* // returns 7.0
+*/
+function infNorm( M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) {
+	var value;
+	var tmp;
+	var sa;
+	var i;
+	var j;
+
+	// Find normI( A )
+	value = 0.0;
+	for ( i = 0; i < M; i++ ) {
+		work[ offsetW + ( i * strideW ) ] = 0.0;
+	}
+	for ( j = 0; j < N; j++ ) {
+		sa = offsetA + ( j * strideA2 );
+		for ( i = 0; i < M; i++ ) {
+			work[ offsetW + ( i * strideW ) ] += abs( A[ sa + ( i * strideA1 ) ] );
+		}
+	}
+	for ( i = 0; i < M; i++ ) {
+		tmp = work[ offsetW + ( i * strideW ) ];
+		if ( value < tmp || isnan( tmp ) ) {
+			value = tmp;
+		}
+	}
+	return value;
+}
+
+/**
+* Computes Frobenius norm for a given matrix `A`.
+*
+* @private
+* @param {NonNegativeInteger} M - number of rows of `A`
+* @param {NonNegativeInteger} N - number of columns of `A`
+* @param {Float64Array} A - input array
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {PositiveInteger} offsetA - starting index for `A`
+* @returns {number} Frobenius norm
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+*
+* var out = frobeniusNorm( 2, 2, A, 2, 1, 0 );
+* // returns 5.477225575051661
+*/
+function frobeniusNorm( M, N, A, strideA1, strideA2, offsetA ) {
+	var value;
+	var out;
+	var j;
+
+	// Find normF( A )
+	out = new Float64Array( [ 0.0, 1.0 ] );
+	for ( j = 0; j < N; j++ ) {
+		out = dlassq( M, A, strideA1, offsetA + ( j * strideA2 ), out[ 0 ], out[ 1 ], out, 1, 0 );
+	}
+	value = out[ 0 ] * sqrt( out[ 1 ] );
+	return value;
+}
+
+
 // MAIN //
 
 /**
@@ -62,138 +247,27 @@ var isnan = require( '@stdlib/assert/is-nan' );
 function dlange( norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) {
 	var order;
 	var value;
-	var sum;
-	var tmp;
-	var out;
-	var sa0;
-	var sa1;
-	var sa;
-	var i;
-	var j;
 
 	norm = lowercase( norm );
-
 	if ( isRowMajor( [ strideA1, strideA2 ] ) ) {
-		// For row-major matrices, the last dimension has the fastest changing index...
 		order = 'row-major';
-		sa0 = strideA2; // stride for innermost loop
-		sa1 = strideA1; // stride for outermost loop
 	} else { // order == 'column-major'
-		// For column-major matrices, the first dimension has the fastest changing index...
 		order = 'column-major';
-		sa0 = strideA1;
-		sa1 = strideA2;
 	}
 
 	if ( min( M, N ) === 0.0 ) {
 		value = 0.0;
 	} else if ( norm === 'm' ) {
-		// Find max( abs( A[ i, j ] ) )
-		value = 0.0;
-		if ( order === 'column-major' ) {
-			for ( j = 0; j < N; j++ ) {
-				sa = offsetA + ( j * sa0 );
-				for ( i = 0; i < M; i++ ) {
-					tmp = abs( A[ sa + ( i * sa1 ) ] );
-					if ( value <= tmp || isnan( tmp ) ) {
-						value = tmp;
-					}
-				}
-			}
-			return value;
-		}
-		// order === 'row-major'
-		for ( j = 0; j < M; j++ ) {
-			sa = offsetA + ( j * sa1 );
-			for ( i = 0; i < N; i++ ) {
-				tmp = abs( A[ sa + ( i * sa0 ) ] );
-				if ( value <= tmp || isnan( tmp ) ) {
-					value = tmp;
-				}
-			}
-		}
-		return value;
+		return maxAbsNorm( order, M, N, A, strideA1, strideA2, offsetA );
 	}
 	if ( norm === 'o' || norm === '1' ) {
-		// Find norm1( A )
-		value = 0.0;
-		if ( order === 'column-major' ) {
-			for ( j = 0; j < N; j++ ) {
-				sum = 0.0;
-				sa = offsetA + ( j * sa1 );
-				for ( i = 0; i < M; i++ ) {
-					sum += abs( A[ sa + ( i * sa0 ) ] );
-				}
-				if ( value < sum || isnan( sum ) ) {
-					value = sum;
-				}
-			}
-			return value;
-		}
-		// order === 'row-major'
-		// For computing one norm, first dimension has the fastest changing index...
-		sa0 = strideA1;
-		sa1 = strideA2;
-		for ( j = 0; j < N; j++ ) {
-			sum = 0.0;
-			sa = offsetA + ( j * sa1 );
-			for ( i = 0; i < M; i++ ) {
-				sum += abs( A[ sa + ( i * sa0 ) ] );
-			}
-			if ( value < sum || isnan( sum ) ) {
-				value = sum;
-			}
-		}
-		return value;
+		return oneNorm( M, N, A, strideA1, strideA2, offsetA );
 	}
 	if ( norm === 'i' ) {
-		// Find normI( A )
-		for ( i = 0; i < M; i++ ) {
-			work[ offsetW + ( i * strideW ) ] = 0.0;
-		}
-		if ( order === 'column-major' ) {
-			for ( j = 0; j < N; j++ ) {
-				sa = offsetA + ( j * sa1 );
-				for ( i = 0; i < M; i++ ) {
-					work[ offsetW + ( i * strideW ) ] += abs( A[ sa + ( i * sa0 ) ] );
-				}
-			}
-		} else { // order === 'row-major'
-			// For computing infinity norm, first dimension has the fastest changing index...
-			sa0 = strideA1;
-			sa1 = strideA2;
-			for ( j = 0; j < N; j++ ) {
-				sa = offsetA + ( j * sa1 );
-				for ( i = 0; i < M; i++ ) {
-					work[ offsetW + ( i * strideW ) ] += abs( A[ sa + ( i * sa0 ) ] );
-				}
-			}
-		}
-		value = 0.0;
-		for ( i = 0; i < M; i++ ) {
-			tmp = work[ offsetW + ( i * strideW ) ];
-			if ( value < tmp || isnan( tmp ) ) {
-				value = tmp;
-			}
-		}
-		return value;
+		return infNorm( M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW );
 	}
 	if ( norm === 'f' ) {
-		// Find normF( A )
-		out = new Float64Array( [ 0.0, 1.0 ] );
-		if ( order === 'column-major' ) {
-			for ( j = 0; j < N; j++ ) {
-				out = dlassq( M, A, sa0, offsetA + ( j * sa1 ), out[ 0 ], out[ 1 ], out, 1, 0 );
-			}
-			value = out[ 0 ] * sqrt( out[ 1 ] );
-			return value;
-		}
-		// order === 'row-major'
-		for ( j = 0; j < N; j++ ) {
-			out = dlassq( M, A, sa1, offsetA + ( j * sa0 ), out[ 0 ], out[ 1 ], out, 1, 0 );
-		}
-		value = out[ 0 ] * sqrt( out[ 1 ] );
-		return value;
+		return frobeniusNorm( M, N, A, strideA1, strideA2, offsetA );
 	}
 	return value;
 }

From b0742ba3ad3f0528d5fdb0f245b795b41612e26e Mon Sep 17 00:00:00 2001
From: Pranavchiku <goswami.4@iitj.ac.in>
Date: Thu, 1 Aug 2024 21:06:03 +0530
Subject: [PATCH 14/16] refactor: forbenius norm implementation and tests

---
 .../@stdlib/lapack/base/dlange/lib/base.js    | 30 +++++++++-------
 .../lapack/base/dlange/test/test.dlange.js    | 34 ++-----------------
 2 files changed, 21 insertions(+), 43 deletions(-)

diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
index c4eac7a8c01..793b644d265 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
@@ -25,8 +25,8 @@
 var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
 var dlassq = require( '@stdlib/lapack/base/dlassq' ).ndarray;
 var lowercase = require( '@stdlib/string/base/lowercase' );
+var dnrm2 = require( '@stdlib/blas/base/dnrm2' ).ndarray;
 var sqrt = require( '@stdlib/math/base/special/sqrt' );
-var Float64Array = require( '@stdlib/array/float64' );
 var abs = require( '@stdlib/math/base/special/abs' );
 var min = require( '@stdlib/math/base/special/min' );
 var isnan = require( '@stdlib/assert/is-nan' );
@@ -192,27 +192,34 @@ function infNorm( M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW )
 * @param {integer} strideA1 - stride of the first dimension of `A`
 * @param {integer} strideA2 - stride of the second dimension of `A`
 * @param {PositiveInteger} offsetA - starting index for `A`
+* @param {Float64Array} work - workspace array
+* @param {integer} strideW - stride length for `work`
+* @param {PositiveInteger} offsetW - starting index for `work`
 * @returns {number} Frobenius norm
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
 *
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var work = new Float64Array( 2 );
 *
-* var out = frobeniusNorm( 2, 2, A, 2, 1, 0 );
+* var out = frobeniusNorm( 2, 2, A, 2, 1, 0, work, 1, 0 );
 * // returns 5.477225575051661
 */
-function frobeniusNorm( M, N, A, strideA1, strideA2, offsetA ) {
+function frobeniusNorm( M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) {
 	var value;
-	var out;
 	var j;
 
 	// Find normF( A )
-	out = new Float64Array( [ 0.0, 1.0 ] );
+	if ( M === 1 ) {
+		return dnrm2( N, A, strideA2, offsetA, strideA1 );
+	}
+	work[ offsetW ] = 0.0;
+	work[ offsetW + strideW ] = 1.0;
 	for ( j = 0; j < N; j++ ) {
-		out = dlassq( M, A, strideA1, offsetA + ( j * strideA2 ), out[ 0 ], out[ 1 ], out, 1, 0 );
+		work = dlassq( M, A, strideA1, offsetA + ( j * strideA2 ), work[ offsetW ], work[ offsetW + strideW ], work, strideW, offsetW );
 	}
-	value = out[ 0 ] * sqrt( out[ 1 ] );
+	value = work[ offsetW ] * sqrt( work[ offsetW + strideW ] );
 	return value;
 }
 
@@ -246,7 +253,6 @@ function frobeniusNorm( M, N, A, strideA1, strideA2, offsetA ) {
 */
 function dlange( norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) {
 	var order;
-	var value;
 
 	norm = lowercase( norm );
 	if ( isRowMajor( [ strideA1, strideA2 ] ) ) {
@@ -256,8 +262,9 @@ function dlange( norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offs
 	}
 
 	if ( min( M, N ) === 0.0 ) {
-		value = 0.0;
-	} else if ( norm === 'm' ) {
+		return 0.0;
+	}
+	if ( norm === 'm' ) {
 		return maxAbsNorm( order, M, N, A, strideA1, strideA2, offsetA );
 	}
 	if ( norm === 'o' || norm === '1' ) {
@@ -267,9 +274,8 @@ function dlange( norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offs
 		return infNorm( M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW );
 	}
 	if ( norm === 'f' ) {
-		return frobeniusNorm( M, N, A, strideA1, strideA2, offsetA );
+		return frobeniusNorm( M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW );
 	}
-	return value;
 }
 
 
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.dlange.js b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.dlange.js
index 9385859ae60..dc2750f267d 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.dlange.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.dlange.js
@@ -77,7 +77,6 @@ tape( 'the function returns maximum absolute value of elements of a square real
 
 	out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
 	expected = 4.0;
-
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -93,7 +92,6 @@ tape( 'the function returns maximum absolute value of elements of a real matrix
 
 	out = dlange( 'row-major', 'M', 2, 3, A, 3, work );
 	expected = 6.0;
-
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -109,7 +107,6 @@ tape( 'the function returns maximum absolute value of elements of a square real
 
 	out = dlange( 'column-major', 'M', 2, 2, A, 2, work );
 	expected = 4.0;
-
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -125,7 +122,6 @@ tape( 'the function returns maximum absolute value of elements of a real matrix
 
 	out = dlange( 'column-major', 'M', 3, 2, A, 2, work );
 	expected = 6.0;
-
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -141,15 +137,12 @@ tape( 'the function returns the one norm of a square real matrix ( row-major )',
 
 	out = dlange( 'row-major', '1', 2, 2, A, 2, work );
 	expected = 6.0;
-
 	t.strictEqual( out, expected, 'returns expected value' );
 
 	out = dlange( 'row-major', 'O', 2, 2, A, 2, work );
-
 	t.strictEqual( out, expected, 'returns expected value' );
 
 	out = dlange( 'row-major', 'o', 2, 2, A, 2, work );
-
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -165,15 +158,12 @@ tape( 'the function returns the one norm of a real matrix ( row-major )', functi
 
 	out = dlange( 'row-major', '1', 2, 3, A, 3, work );
 	expected = 9.0;
-
 	t.strictEqual( out, expected, 'returns expected value' );
 
 	out = dlange( 'row-major', 'O', 2, 3, A, 3, work );
-
 	t.strictEqual( out, expected, 'returns expected value' );
 
 	out = dlange( 'row-major', 'o', 2, 3, A, 3, work );
-
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -189,15 +179,12 @@ tape( 'the function returns the one norm of a square real matrix ( column-major
 
 	out = dlange( 'column-major', '1', 2, 2, A, 2, work );
 	expected = 6.0;
-
 	t.strictEqual( out, expected, 'returns expected value' );
 
 	out = dlange( 'column-major', 'O', 2, 2, A, 2, work );
-
 	t.strictEqual( out, expected, 'returns expected value' );
 
 	out = dlange( 'column-major', 'o', 2, 2, A, 2, work );
-
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -213,15 +200,12 @@ tape( 'the function returns the one norm of a real matrix ( column-major )', fun
 
 	out = dlange( 'column-major', '1', 3, 2, A, 2, work );
 	expected = 10.0;
-
 	t.strictEqual( out, expected, 'returns expected value' );
 
 	out = dlange( 'column-major', 'O', 3, 2, A, 2, work );
-
 	t.strictEqual( out, expected, 'returns expected value' );
 
 	out = dlange( 'column-major', 'o', 3, 2, A, 2, work );
-
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -237,11 +221,9 @@ tape( 'the function returns the infinity norm of a square real matrix ( row-majo
 
 	out = dlange( 'row-major', 'I', 2, 2, A, 2, work );
 	expected = 7.0;
-
 	t.strictEqual( out, expected, 'returns expected value' );
 
 	out = dlange( 'row-major', 'i', 2, 2, A, 2, work );
-
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -257,11 +239,9 @@ tape( 'the function returns the infinity norm of a real matrix ( row-major )', f
 
 	out = dlange( 'row-major', 'I', 2, 3, A, 3, work );
 	expected = 15.0;
-
 	t.strictEqual( out, expected, 'returns expected value' );
 
 	out = dlange( 'row-major', 'i', 2, 3, A, 3, work );
-
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -277,11 +257,9 @@ tape( 'the function returns the infinity norm of a square real matrix ( column-m
 
 	out = dlange( 'column-major', 'I', 2, 2, A, 2, work );
 	expected = 7.0;
-
 	t.strictEqual( out, expected, 'returns expected value' );
 
 	out = dlange( 'column-major', 'i', 2, 2, A, 2, work );
-
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -297,11 +275,9 @@ tape( 'the function returns the infinity norm of a real matrix ( column-major )'
 
 	out = dlange( 'column-major', 'I', 3, 2, A, 2, work );
 	expected = 9.0;
-
 	t.strictEqual( out, expected, 'returns expected value' );
 
 	out = dlange( 'column-major', 'i', 3, 2, A, 2, work );
-
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -317,11 +293,13 @@ tape( 'the function returns the Frobenius norm of a square real matrix ( row-maj
 
 	out = dlange( 'row-major', 'F', 2, 2, A, 2, work );
 	expected = 5.477225575051661;
-
 	t.strictEqual( out, expected, 'returns expected value' );
 
 	out = dlange( 'row-major', 'f', 2, 2, A, 2, work );
+	t.strictEqual( out, expected, 'returns expected value' );
 
+	work = new Float64Array( 1 );
+	out = dlange( 'row-major', 'F', 1, 4, A, 4, work );
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -337,11 +315,9 @@ tape( 'the function returns the Frobenius norm of a real matrix ( row-major )',
 
 	out = dlange( 'row-major', 'F', 2, 3, A, 3, work );
 	expected = 9.539392014169456;
-
 	t.strictEqual( out, expected, 'returns expected value' );
 
 	out = dlange( 'row-major', 'f', 2, 3, A, 3, work );
-
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -357,11 +333,9 @@ tape( 'the function returns the Frobenius norm of a square real matrix ( column-
 
 	out = dlange( 'column-major', 'F', 2, 2, A, 2, work );
 	expected = 5.477225575051661;
-
 	t.strictEqual( out, expected, 'returns expected value' );
 
 	out = dlange( 'column-major', 'f', 2, 2, A, 2, work );
-
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -377,11 +351,9 @@ tape( 'the function returns the Frobenius norm of a real matrix ( column-major )
 
 	out = dlange( 'column-major', 'F', 3, 2, A, 2, work );
 	expected = 7.681145747868608;
-
 	t.strictEqual( out, expected, 'returns expected value' );
 
 	out = dlange( 'column-major', 'f', 3, 2, A, 2, work );
-
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });

From b114224051b4da71f371cf1953b6065a87eae70c Mon Sep 17 00:00:00 2001
From: Pranav <85227306+Pranavchiku@users.noreply.github.com>
Date: Thu, 1 Aug 2024 21:08:07 +0530
Subject: [PATCH 15/16] chore: apply suggestion from code review

Signed-off-by: Pranav <85227306+Pranavchiku@users.noreply.github.com>
---
 lib/node_modules/@stdlib/lapack/base/dlange/package.json | 1 +
 1 file changed, 1 insertion(+)

diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/package.json b/lib/node_modules/@stdlib/lapack/base/dlange/package.json
index 34b6595a3e4..7f5948513c5 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/package.json
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/package.json
@@ -57,6 +57,7 @@
     "dlange",
     "norm",
     "absolute",
+    "frobenius",
     "subroutines",
     "array",
     "ndarray",

From 24f69980eb0f9ee6c4be8e274c1d5b3ec75aa865 Mon Sep 17 00:00:00 2001
From: Pranavchiku <goswami.4@iitj.ac.in>
Date: Sat, 3 Aug 2024 16:13:45 +0530
Subject: [PATCH 16/16] feat: support axis attribute in base implementation

---
 .../@stdlib/lapack/base/dlange/README.md      |  18 +-
 .../lapack/base/dlange/benchmark/benchmark.js |   2 +-
 .../dlange/benchmark/benchmark.ndarray.js     |   2 +-
 .../@stdlib/lapack/base/dlange/docs/repl.txt  |  14 +-
 .../lapack/base/dlange/docs/types/index.d.ts  |  23 +-
 .../lapack/base/dlange/docs/types/test.ts     | 362 ++++++++++--------
 .../lapack/base/dlange/examples/index.js      |   2 +-
 .../@stdlib/lapack/base/dlange/lib/base.js    |  95 +++--
 .../@stdlib/lapack/base/dlange/lib/dlange.js  |   7 +-
 .../@stdlib/lapack/base/dlange/lib/index.js   |   4 +-
 .../@stdlib/lapack/base/dlange/lib/ndarray.js |   9 +-
 .../lapack/base/dlange/test/test.dlange.js    | 126 ++++--
 .../@stdlib/lapack/base/dlange/test/test.js   |   1 +
 .../lapack/base/dlange/test/test.ndarray.js   |  36 +-
 14 files changed, 425 insertions(+), 276 deletions(-)

diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/README.md b/lib/node_modules/@stdlib/lapack/base/dlange/README.md
index ec6d3fd14f8..55d61f49a1b 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/README.md
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/README.md
@@ -30,7 +30,7 @@ limitations under the License.
 var dlange = require( '@stdlib/lapack/base/dlange' );
 ```
 
-#### dlange( order, norm, M, N, A, LDA, work )
+#### dlange( order, norm, axis, M, N, A, LDA, work )
 
 Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A`.
 
@@ -40,7 +40,7 @@ var Float64Array = require( '@stdlib/array/float64' );
 var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
 var work = new Float64Array( 2 );
 
-var out = dlange( 'row-major', 'M', 2, 3, A, 3, work );
+var out = dlange( 'row-major', 'M', 1, 2, 3, A, 3, work );
 // returns 6.0
 ```
 
@@ -48,6 +48,7 @@ The function has the following parameters:
 
 -   **order**: storage layout.
 -   **norm**: specifies the value to be returned.
+-   **axis**: axis along which to compute the norm.
 -   **M**: number of rows in `A`.
 -   **N**: number of columns in `A`.
 -   **A**: input [`Float64Array`][mdn-float64array].
@@ -69,11 +70,11 @@ var WORK0 = new Float64Array( 4 );
 var A1 = new Float64Array( A0.buffer, A0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 var WORK1 = new Float64Array( WORK0.buffer, WORK0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var out = dlange( 'row-major', 'M', 2, 3, A1, 3, WORK1 );
+var out = dlange( 'row-major', 'M', 1, 2, 3, A1, 3, WORK1 );
 // returns 6.0
 ```
 
-#### dlange.ndarray( norm, M, N, A, sa1, sa2, oa, work, sw, ow )
+#### dlange.ndarray( norm, axis, M, N, A, sa1, sa2, oa, work, sw, ow )
 
 Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A` using alternative indexing semantics.
 
@@ -83,13 +84,14 @@ var Float64Array = require( '@stdlib/array/float64' );
 var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 var work = new Float64Array( 2 );
 
-var out = dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+var out = dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, 1, 0 );
 // returns 4.0
 ```
 
 The function has the following parameters:
 
 -   **norm**: specifies the value to be returned.
+-   **axis**: axis along which to compute the norm.
 -   **M**: number of rows in `A`.
 -   **N**: number of columns in `A`.
 -   **A**: input [`Float64Array`][mdn-float64array].
@@ -108,7 +110,7 @@ var Float64Array = require( '@stdlib/array/float64' );
 var A = new Float64Array( [ 0.0, 0.0, 1.0, 2.0, 3.0, 4.0 ] );
 var work = new Float64Array( 2 );
 
-var out = dlange.ndarray( 'M', 2, 2, A, 2, 1, 2, work, 1, 0 );
+var out = dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 2, work, 1, 0 );
 // returns 4.0
 ```
 
@@ -120,6 +122,8 @@ var out = dlange.ndarray( 'M', 2, 2, A, 2, 1, 2, work, 1, 0 );
 
 ## Notes
 
+-   The `axis` parameter specifies the axis along which to compute the norm. When `axis` is `1`, the function computes the norm along columns which is default behavior.
+-   When `axis` is `0`, the function computes the norm along rows.
 -   `dlange()` corresponds to the [LAPACK][lapack] routine [`dlange`][lapack-dlange].
 
 </section>
@@ -139,7 +143,7 @@ var dlange = require( '@stdlib/lapack/base/dlange' );
 var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
 var work = new Float64Array( 2 );
 
-var out = dlange( 'row-major', 'M', 2, 3, A, 3, work );
+var out = dlange( 'row-major', 'M', 1, 2, 3, A, 3, work );
 // returns 6.0
 ```
 
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.js b/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.js
index a742679f774..ebd4448d7df 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.js
@@ -66,7 +66,7 @@ function createBenchmark( N ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			z = dlange( 'column-major', values[ i%values.length ], N, N, A, N, work );
+			z = dlange( 'column-major', values[ i%values.length ], 1, N, N, A, N, work );
 			if ( isnan( z ) ) {
 				b.fail( 'should not return NaN' );
 			}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.ndarray.js
index 2a8415ff147..dbca1ab34b7 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/benchmark/benchmark.ndarray.js
@@ -66,7 +66,7 @@ function createBenchmark( N ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			z = dlange( values[ i%values.length ], N, N, A, 1, N, 0, work, 1, 0 );
+			z = dlange( values[ i%values.length ], 1, N, N, A, 1, N, 0, work, 1, 0 );
 			if ( isnan( z ) ) {
 				b.fail( 'should not return NaN' );
 			}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/docs/repl.txt b/lib/node_modules/@stdlib/lapack/base/dlange/docs/repl.txt
index 3c8826d1d66..86f0d056335 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/docs/repl.txt
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/docs/repl.txt
@@ -1,5 +1,5 @@
 
-{{alias}}( order, norm, M, N, A, LDA, work )
+{{alias}}( order, norm, axis, M, N, A, LDA, work )
     Returns the value of one norm, or the Frobenius norm, or the infinity norm,
     or the element of largest absolute value of a real matrix `A`.
 
@@ -15,6 +15,9 @@
     norm: string
         Specifies the value to be returned.
 
+    axis: string
+        Axis along which to compute the norm.
+
     M: integer
         Number of rows in `A`.
 
@@ -40,11 +43,11 @@
     --------
     > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
     > var work = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0 ] );
-    > {{alias}}( 'row-major', 'M', 2, 2, A, 2, work )
+    > {{alias}}( 'row-major', 'M', 1, 2, 2, A, 2, work )
     4.0
 
 
-{{alias}}.ndarray( norm, M, N, A, sa1, sa2, oa, work, sw, ow )
+{{alias}}.ndarray( norm, axis, M, N, A, sa1, sa2, oa, work, sw, ow )
     Returns the value of one norm, or the Frobenius norm, or the infinity norm,
     or the element of largest absolute value of a real matrix `A` using
     alternative indexing semantics.
@@ -58,6 +61,9 @@
     norm: string
         Specifies the value to be returned.
 
+    axis: string
+        Axis along which to compute the norm.
+
     M: integer
         Number of rows in `A`.
 
@@ -94,7 +100,7 @@
     --------
     > var A = new {{alias:@stdlib/array/float64}}( [ 0.0, 1.0, 2.0, 3.0, 4.0 ] );
     > var work = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0 ] );
-    > {{alias}}.ndarray( 'M', 2, 2, A, 2, 1, 1, work, 1, 1 )
+    > {{alias}}.ndarray( 'M', 1, 2, 2, A, 2, 1, 1, work, 1, 1 )
     4.0
 
     See Also
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts b/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts
index 4875aa352aa..d2e52a6b387 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/index.d.ts
@@ -27,10 +27,11 @@ import { Layout } from '@stdlib/types/blas';
 */
 interface Routine {
 	/**
-	* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A`.
+	* Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A`.
 	*
 	* @param order - storage layout
 	* @param norm - specifies the value to be returned
+	* @param axis - specifies the axis along which to compute the norm
 	* @param M - number of rows of `A`
 	* @param N - number of columns of `A`
 	* @param A - input array
@@ -44,15 +45,16 @@ interface Routine {
 	* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 	* var work = new Float64Array( 2 );
 	*
-	* var out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
-	* // out => 4.0
+	* var out = dlange( 'row-major', 'M', 1, 2, 2, A, 2, work );
+	* // returns 4.0
 	*/
-	( order: Layout, norm: string, M: number, N: number, A: Float64Array, LDA: number, work: Float64Array ): number;
+	( order: Layout, norm: string, axis: number, M: number, N: number, A: Float64Array, LDA: number, work: Float64Array ): number;
 
 	/**
 	* Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A` using alternative indexing semantics.
 	*
 	* @param norm - specifies the value to be returned
+	* @param axis - specifies the axis along which to compute the norm
 	* @param M - number of rows of `A`
 	* @param N - number of columns of `A`
 	* @param A - input array
@@ -70,17 +72,18 @@ interface Routine {
 	* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 	* var work = new Float64Array( 2 );
 	*
-	* var out = dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+	* var out = dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, 1, 0 );
 	* // returns 4.0
 	*/
-	ndarray( norm: string, M: number, N: number, A: Float64Array, strideA1: number, strideA2: number, offsetA: number, work: Float64Array, strideW: number, offsetW: number ): number;
+	ndarray( norm: string, axis: number, M: number, N: number, A: Float64Array, strideA1: number, strideA2: number, offsetA: number, work: Float64Array, strideW: number, offsetW: number ): number;
 }
 
 /**
-* Returns the value of one norm, or the Forbenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A`.
+* Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A`.
 *
 * @param order - storage layout
 * @param norm - specifies the value to be returned
+* @param axis - specifies the axis along which to compute the norm
 * @param M - number of rows of `A`
 * @param N - number of columns of `A`
 * @param A - input array
@@ -94,8 +97,8 @@ interface Routine {
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var work = new Float64Array( 2 );
 *
-* var out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
-* // out => 4.0
+* var out = dlange( 'row-major', 'M', 1, 2, 2, A, 2, work );
+* // returns 4.0
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
@@ -103,7 +106,7 @@ interface Routine {
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var work = new Float64Array( 2 );
 *
-* var out = dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+* var out = dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, 1, 0 );
 * // returns 4.0
 */
 declare var dlange: Routine;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/test.ts b/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/test.ts
index 247e47dff8b..26ec6448e23 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/docs/types/test.ts
@@ -26,7 +26,7 @@ import dlange = require( './index' );
 	const work = new Float64Array( [ 0.0, 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange( 'row-major', 'M', 2, 2, A, 2, work ); // $ExpectType number
+	dlange( 'row-major', 'M', 1, 2, 2, A, 2, work ); // $ExpectType number
 }
 
 // The compiler throws an error if the function is provided a first argument which is not a string...
@@ -34,14 +34,14 @@ import dlange = require( './index' );
 	const work = new Float64Array( [ 0.0, 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange( 5, 'M', 2, 2, A, 2, work ); // $ExpectError
-	dlange( true, 'M', 2, 2, A, 2, work ); // $ExpectError
-	dlange( false, 'M', 2, 2, A, 2, work ); // $ExpectError
-	dlange( null, 'M', 2, 2, A, 2, work ); // $ExpectError
-	dlange( void 0, 'M', 2, 2, A, 2, work ); // $ExpectError
-	dlange( [], 'M', 2, 2, A, 2, work ); // $ExpectError
-	dlange( {}, 'M', 2, 2, A, 2, work ); // $ExpectError
-	dlange( ( x: number ): number => x, 'M', 2, 2, A, 2, work ); // $ExpectError
+	dlange( 5, 'M', 1, 2, 2, A, 2, work ); // $ExpectError
+	dlange( true, 'M', 1, 2, 2, A, 2, work ); // $ExpectError
+	dlange( false, 'M', 1, 2, 2, A, 2, work ); // $ExpectError
+	dlange( null, 'M', 1, 2, 2, A, 2, work ); // $ExpectError
+	dlange( void 0, 'M', 1, 2, 2, A, 2, work ); // $ExpectError
+	dlange( [], 'M', 1, 2, 2, A, 2, work ); // $ExpectError
+	dlange( {}, 'M', 1, 2, 2, A, 2, work ); // $ExpectError
+	dlange( ( x: number ): number => x, 'M', 1, 2, 2, A, 2, work ); // $ExpectError
 }
 
 // The compiler throws an error if the function is provided a second argument which is not a string...
@@ -49,14 +49,14 @@ import dlange = require( './index' );
 	const work = new Float64Array( [ 0.0, 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange( 'row-major', 5, 2, 2, A, 2, work ); // $ExpectError
-	dlange( 'row-major', true, 2, 2, A, 2, work ); // $ExpectError
-	dlange( 'row-major', false, 2, 2, A, 2, work ); // $ExpectError
-	dlange( 'row-major', null, 2, 2, A, 2, work ); // $ExpectError
-	dlange( 'row-major', void 0, 2, 2, A, 2, work ); // $ExpectError
-	dlange( 'row-major', [], 2, 2, A, 2, work ); // $ExpectError
-	dlange( 'row-major', {}, 2, 2, A, 2, work ); // $ExpectError
-	dlange( 'row-major', ( x: number ): number => x, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 5, 1, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', true, 1, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', false, 1, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', null, 1, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', void 0, 1, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', [], 1, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', {}, 1, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', ( x: number ): number => x, 1, 2, 2, A, 2, work ); // $ExpectError
 }
 
 // The compiler throws an error if the function is provided a third argument which is not a number...
@@ -64,14 +64,14 @@ import dlange = require( './index' );
 	const work = new Float64Array( [ 0.0, 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange( 'row-major', 'M', '5', 2, A, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', true, 2, A, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', false, 2, A, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', null, 2, A, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', void 0, 2, A, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', [], 2, A, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', {}, 2, A, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', ( x: number ): number => x, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', '5', 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', true, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', false, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', null, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', void 0, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', [], 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', {}, 2, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', ( x: number ): number => x, 2, 2, A, 2, work ); // $ExpectError
 }
 
 // The compiler throws an error if the function is provided a fourth argument which is not a number...
@@ -79,59 +79,74 @@ import dlange = require( './index' );
 	const work = new Float64Array( [ 0.0, 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange( 'row-major', 'M', 2, '5', A, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, true, A, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, false, A, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, null, A, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, void 0, A, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, [], A, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, {}, A, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, ( x: number ): number => x, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, '5', 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, true, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, false, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, null, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, void 0, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, [], 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, {}, 2, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, ( x: number ): number => x, 2, A, 2, work ); // $ExpectError
 }
 
-// The compiler throws an error if the function is provided a fifth argument which is not a Float64Array...
+// The compiler throws an error if the function is provided a fifth argument which is not a number...
 {
 	const work = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange( 'row-major', 'M', 2, 2, '5', 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, 5, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, true, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, false, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, null, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, void 0, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, [], 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, {}, 2, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, ( x: number ): number => x, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, '5', A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, true, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, false, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, null, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, void 0, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, [], A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, {}, A, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, ( x: number ): number => x, A, 2, work ); // $ExpectError
 }
 
-// The compiler throws an error if the function is provided a sixth argument which is not a number...
+// The compiler throws an error if the function is provided a sixth argument which is not a Float64Array...
+{
+	const work = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+
+	dlange( 'row-major', 'M', 1, 2, 2, '5', 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, 5, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, true, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, false, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, null, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, void 0, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, [], 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, {}, 2, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, ( x: number ): number => x, 2, work ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a seventh argument which is not a number...
 {
 	const work = new Float64Array( [ 0.0, 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange( 'row-major', 'M', 2, 2, A, '5', work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A, true, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A, false, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A, null, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A, void 0, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A, [], work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A, {}, work ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A, ( x: number ): number => x, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, '5', work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, true, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, false, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, null, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, void 0, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, [], work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, {}, work ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, ( x: number ): number => x, work ); // $ExpectError
 }
 
-// The compiler throws an error if the function is provided a seventh argument which is not a Float64Array...
+// The compiler throws an error if the function is provided an eighth argument which is not a Float64Array...
 {
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange( 'row-major', 'M', 2, 2, A, 2, '5' ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A, 2, 5 ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A, 2, true ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A, 2, false ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A, 2, null ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A, 2, void 0 ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A, 2, [] ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A, 2, {} ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A, 2, ( x: number ): number => x ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, 2, '5' ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, 2, 5 ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, 2, true ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, 2, false ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, 2, null ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, 2, void 0 ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, 2, [] ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, 2, {} ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, 2, ( x: number ): number => x ); // $ExpectError
 }
 
 // The compiler throws an error if the function is provided an unsupported number of arguments...
@@ -142,11 +157,12 @@ import dlange = require( './index' );
 	dlange(); // $ExpectError
 	dlange( 'row-major' ); // $ExpectError
 	dlange( 'row-major', 'M' ); // $ExpectError
-	dlange( 'row-major', 'M', 2 ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2 ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A, 2 ); // $ExpectError
-	dlange( 'row-major', 'M', 2, 2, A, 2, work, 10 ); // $ExpectError
+	dlange( 'row-major', 'M', 1 ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2 ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2 ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, 2 ); // $ExpectError
+	dlange( 'row-major', 'M', 1, 2, 2, A, 2, work, 10 ); // $ExpectError
 }
 
 // Attached to main export is an `ndarray` method which returns a Float64Array...
@@ -154,7 +170,7 @@ import dlange = require( './index' );
 	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectType number
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectType number
 }
 
 // The compiler throws an error if the function is provided a first argument which is not a string...
@@ -162,14 +178,14 @@ import dlange = require( './index' );
 	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 5, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( true, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( false, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( null, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( void 0, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( [], 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( {}, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( ( x: number ): number => x, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 5, 1, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( true, 1, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( false, 1, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( null, 1, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( void 0, 1, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( [], 1, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( {}, 1, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( ( x: number ): number => x, 1, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
 }
 
 // The compiler throws an error if the function is provided a second argument which is not a number...
@@ -177,14 +193,14 @@ import dlange = require( './index' );
 	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'M', '5', 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', true, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', false, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', null, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', void 0, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', [], 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', {}, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', ( x: number ): number => x, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', '5', 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', true, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', false, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', null, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', void 0, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', [], 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', {}, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', ( x: number ): number => x, 2, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
 }
 
 // The compiler throws an error if the function is provided a third argument which is not a number...
@@ -192,44 +208,44 @@ import dlange = require( './index' );
 	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'M', 2, '5', A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, true, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, false, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, null, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, void 0, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, [], A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, {}, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, ( x: number ): number => x, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, '5', 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, true, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, false, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, null, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, void 0, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, [], 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, {}, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, ( x: number ): number => x, 2, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
 }
 
-// The compiler throws an error if the function is provided a fourth argument which is not a Float64Array...
+// The compiler throws an error if the function is provided a fourth argument which is not a number...
 {
 	const work = new Float64Array( [ 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'M', 2, 2, '5', 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, 5, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, true, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, false, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, null, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, void 0, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, [], 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, {}, 2, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, ( x: number ): number => x, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, '5', A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, true, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, false, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, null, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, void 0, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, [], A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, {}, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, ( x: number ): number => x, A, 2, 1, 0, work, 1, 0 ); // $ExpectError
 }
 
-// The compiler throws an error if the function is provided a fifth argument which is not a number...
+// The compiler throws an error if the function is provided a fifth argument which is not a Float64Array...
 {
 	const work = new Float64Array( [ 0.0, 0.0 ] );
-	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'M', 2, 2, A, '5', 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, true, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, false, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, null, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, void 0, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, [], 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, {}, 1, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, ( x: number ): number => x, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, '5', 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, 5, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, true, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, false, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, null, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, void 0, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, [], 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, {}, 2, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, ( x: number ): number => x, 2, 1, 0, work, 1, 0 ); // $ExpectError
 }
 
 // The compiler throws an error if the function is provided a sixth argument which is not a number...
@@ -237,14 +253,14 @@ import dlange = require( './index' );
 	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'M', 2, 2, A, 2, '5', 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, true, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, false, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, null, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, void 0, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, [], 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, {}, 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, ( x: number ): number => x, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, '5', 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, true, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, false, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, null, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, void 0, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, [], 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, {}, 1, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, ( x: number ): number => x, 1, 0, work, 1, 0 ); // $ExpectError
 }
 
 // The compiler throws an error if the function is provided a seventh argument which is not a number...
@@ -252,44 +268,44 @@ import dlange = require( './index' );
 	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, '5', work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, true, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, false, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, null, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, void 0, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, [], work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, {}, work, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, ( x: number ): number => x, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, '5', 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, true, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, false, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, null, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, void 0, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, [], 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, {}, 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, ( x: number ): number => x, 0, work, 1, 0 ); // $ExpectError
 }
 
-// The compiler throws an error if the function is provided an eighth argument which is not a Float64Array...
+// The compiler throws an error if the function is provided an eighth argument which is not a number...
 {
+	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, '5', 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, 5, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, true, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, false, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, null, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, void 0, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, [], 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, {}, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, ( x: number ): number => x, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, '5', work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, true, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, false, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, null, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, void 0, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, [], work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, {}, work, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, ( x: number ): number => x, work, 1, 0 ); // $ExpectError
 }
 
-// The compiler throws an error if the function is provided a ninth argument which is not a number...
+// The compiler throws an error if the function is provided a ninth argument which is not a Float64Array...
 {
-	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, '5', 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, true, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, false, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, null, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, void 0, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, [], 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, {}, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, ( x: number ): number => x, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, '5', 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, 5, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, true, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, false, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, null, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, void 0, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, [], 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, {}, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, ( x: number ): number => x, 1, 0 ); // $ExpectError
 }
 
 // The compiler throws an error if the function is provided a tenth argument which is not a number...
@@ -297,14 +313,29 @@ import dlange = require( './index' );
 	const work = new Float64Array( [ 0.0, 0.0 ] );
 	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, '5' ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, true ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, false ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, null ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, void 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, [] ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, {} ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, ( x: number ): number => x ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, '5', 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, true, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, false, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, null, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, void 0, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, [], 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, {}, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an eleventh argument which is not a number...
+{
+	const work = new Float64Array( [ 0.0, 0.0 ] );
+	const A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, 1, '5' ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, 1, true ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, 1, false ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, 1, null ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, 1, void 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, 1, [] ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, 1, {} ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, 1, ( x: number ): number => x ); // $ExpectError
 }
 
 // The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
@@ -314,13 +345,14 @@ import dlange = require( './index' );
 
 	dlange.ndarray(); // $ExpectError
 	dlange.ndarray( 'M' ); // $ExpectError
-	dlange.ndarray( 'M', 2 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1 ); // $ExpectError
-	dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, 0, 10 ); // $ExpectError
+	dlange.ndarray( 'M', 1 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, 1 ); // $ExpectError
+	dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, 1, 0, 10 ); // $ExpectError
 }
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/examples/index.js b/lib/node_modules/@stdlib/lapack/base/dlange/examples/index.js
index 79a2b8c4998..5b1dd8e47c5 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/examples/index.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/examples/index.js
@@ -24,5 +24,5 @@ var dlange = require( './../lib' );
 var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
 var work = new Float64Array( 2 );
 
-var out = dlange( 'row-major', 'M', 2, 3, A, 3, work );
+var out = dlange( 'row-major', 'M', 1, 2, 3, A, 3, work );
 console.log( out );
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
index 793b644d265..3f093e42517 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/base.js
@@ -16,7 +16,7 @@
 * limitations under the License.
 */
 
-/* eslint-disable max-len */
+/* eslint-disable max-len, max-params */
 
 'use strict';
 
@@ -93,6 +93,7 @@ function maxAbsNorm( order, M, N, A, strideA1, strideA2, offsetA ) {
 * Computes one norm for a given matrix `A`.
 *
 * @private
+* @param {NonNegativeInteger} axis - axis along which to compute the norm
 * @param {NonNegativeInteger} M - number of rows of `A`
 * @param {NonNegativeInteger} N - number of columns of `A`
 * @param {Float64Array} A - input array
@@ -106,10 +107,10 @@ function maxAbsNorm( order, M, N, A, strideA1, strideA2, offsetA ) {
 *
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 *
-* var out = oneNorm( 2, 2, A, 2, 1, 0 );
+* var out = oneNorm( 1, 2, 2, A, 2, 1, 0 );
 * // returns 6.0
 */
-function oneNorm( M, N, A, strideA1, strideA2, offsetA ) {
+function oneNorm( axis, M, N, A, strideA1, strideA2, offsetA ) {
 	var value;
 	var sum;
 	var sa;
@@ -118,11 +119,25 @@ function oneNorm( M, N, A, strideA1, strideA2, offsetA ) {
 
 	// Find norm1( A )
 	value = 0.0;
-	for ( j = 0; j < N; j++ ) {
+	if ( axis === 1 ) {
+		for ( j = 0; j < N; j++ ) {
+			sum = 0.0;
+			sa = offsetA + ( j * strideA2 );
+			for ( i = 0; i < M; i++ ) {
+				sum += abs( A[ sa + ( i * strideA1 ) ] );
+			}
+			if ( value < sum || isnan( sum ) ) {
+				value = sum;
+			}
+		}
+		return value;
+	}
+	// axis === 0
+	for ( i = 0; i < M; i++ ) {
 		sum = 0.0;
-		sa = offsetA + ( j * strideA2 );
-		for ( i = 0; i < M; i++ ) {
-			sum += abs( A[ sa + ( i * strideA1 ) ] );
+		sa = offsetA + ( i * strideA1 );
+		for ( j = 0; j < N; j++ ) {
+			sum += abs( A[ sa + ( j * strideA2 ) ] );
 		}
 		if ( value < sum || isnan( sum ) ) {
 			value = sum;
@@ -135,6 +150,7 @@ function oneNorm( M, N, A, strideA1, strideA2, offsetA ) {
 * Computes infinity norm for a given matrix `A`.
 *
 * @private
+* @param {NonNegativeInteger} axis - axis along which to compute the norm
 * @param {NonNegativeInteger} M - number of rows of `A`
 * @param {NonNegativeInteger} N - number of columns of `A`
 * @param {Float64Array} A - input array
@@ -152,10 +168,10 @@ function oneNorm( M, N, A, strideA1, strideA2, offsetA ) {
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var work = new Float64Array( 2 );
 *
-* var out = infNorm( 2, 2, A, 2, 1, 0, work, 1, 0 );
+* var out = infNorm( 1, 2, 2, A, 2, 1, 0, work, 1, 0 );
 * // returns 7.0
 */
-function infNorm( M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) {
+function infNorm( axis, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) {
 	var value;
 	var tmp;
 	var sa;
@@ -164,17 +180,36 @@ function infNorm( M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW )
 
 	// Find normI( A )
 	value = 0.0;
-	for ( i = 0; i < M; i++ ) {
-		work[ offsetW + ( i * strideW ) ] = 0.0;
-	}
-	for ( j = 0; j < N; j++ ) {
-		sa = offsetA + ( j * strideA2 );
+	if ( axis === 1) {
+		for ( i = 0; i < M; i++ ) {
+			work[ offsetW + ( i * strideW ) ] = 0.0;
+		}
+		for ( j = 0; j < N; j++ ) {
+			sa = offsetA + ( j * strideA2 );
+			for ( i = 0; i < M; i++ ) {
+				work[ offsetW + ( i * strideW ) ] += abs( A[ sa + ( i * strideA1 ) ] );
+			}
+		}
 		for ( i = 0; i < M; i++ ) {
-			work[ offsetW + ( i * strideW ) ] += abs( A[ sa + ( i * strideA1 ) ] );
+			tmp = work[ offsetW + ( i * strideW ) ];
+			if ( value < tmp || isnan( tmp ) ) {
+				value = tmp;
+			}
 		}
+		return value;
+	}
+	// axis === 0
+	for ( j = 0; j < N; j++ ) {
+		work[ offsetW + ( j * strideW ) ] = 0.0;
 	}
 	for ( i = 0; i < M; i++ ) {
-		tmp = work[ offsetW + ( i * strideW ) ];
+		sa = offsetA + ( i * strideA1 );
+		for ( j = 0; j < N; j++ ) {
+			work[ offsetW + ( j * strideW ) ] += abs( A[ sa + ( j * strideA2 ) ] );
+		}
+	}
+	for ( j = 0; j < N; j++ ) {
+		tmp = work[ offsetW + ( j * strideW ) ];
 		if ( value < tmp || isnan( tmp ) ) {
 			value = tmp;
 		}
@@ -186,6 +221,7 @@ function infNorm( M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW )
 * Computes Frobenius norm for a given matrix `A`.
 *
 * @private
+* @param {NonNegativeInteger} axis - axis along which to compute the norm
 * @param {NonNegativeInteger} M - number of rows of `A`
 * @param {NonNegativeInteger} N - number of columns of `A`
 * @param {Float64Array} A - input array
@@ -203,10 +239,10 @@ function infNorm( M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW )
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var work = new Float64Array( 2 );
 *
-* var out = frobeniusNorm( 2, 2, A, 2, 1, 0, work, 1, 0 );
+* var out = frobeniusNorm( 1, 2, 2, A, 2, 1, 0, work, 1, 0 );
 * // returns 5.477225575051661
 */
-function frobeniusNorm( M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) {
+function frobeniusNorm( axis, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) {
 	var value;
 	var j;
 
@@ -216,8 +252,16 @@ function frobeniusNorm( M, N, A, strideA1, strideA2, offsetA, work, strideW, off
 	}
 	work[ offsetW ] = 0.0;
 	work[ offsetW + strideW ] = 1.0;
-	for ( j = 0; j < N; j++ ) {
-		work = dlassq( M, A, strideA1, offsetA + ( j * strideA2 ), work[ offsetW ], work[ offsetW + strideW ], work, strideW, offsetW );
+	if ( axis === 1 ) {
+		for ( j = 0; j < N; j++ ) {
+			work = dlassq( M, A, strideA1, offsetA + ( j * strideA2 ), work[ offsetW ], work[ offsetW + strideW ], work, strideW, offsetW );
+		}
+		value = work[ offsetW ] * sqrt( work[ offsetW + strideW ] );
+		return value;
+	}
+	// axis === 0
+	for ( j = 0; j < M; j++ ) {
+		work = dlassq( N, A, strideA2, offsetA + ( j * strideA1 ), work[ offsetW ], work[ offsetW + strideW ], work, strideW, offsetW );
 	}
 	value = work[ offsetW ] * sqrt( work[ offsetW + strideW ] );
 	return value;
@@ -231,6 +275,7 @@ function frobeniusNorm( M, N, A, strideA1, strideA2, offsetA, work, strideW, off
 *
 * @private
 * @param {string} norm - specifies the value to be returned
+* @param {NonNegativeInteger} axis - axis along which to compute the norm
 * @param {NonNegativeInteger} M - number of rows of `A`
 * @param {NonNegativeInteger} N - number of columns of `A`
 * @param {Float64Array} A - input array
@@ -248,10 +293,10 @@ function frobeniusNorm( M, N, A, strideA1, strideA2, offsetA, work, strideW, off
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var work = new Float64Array( 2 );
 *
-* var out = dlange( 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+* var out = dlange( 'M', 1, 2, 2, A, 2, 1, 0, work, 1, 0 );
 * // returns 4.0
 */
-function dlange( norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) {
+function dlange( norm, axis, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) {
 	var order;
 
 	norm = lowercase( norm );
@@ -268,13 +313,13 @@ function dlange( norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offs
 		return maxAbsNorm( order, M, N, A, strideA1, strideA2, offsetA );
 	}
 	if ( norm === 'o' || norm === '1' ) {
-		return oneNorm( M, N, A, strideA1, strideA2, offsetA );
+		return oneNorm( axis, M, N, A, strideA1, strideA2, offsetA );
 	}
 	if ( norm === 'i' ) {
-		return infNorm( M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW );
+		return infNorm( axis, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW );
 	}
 	if ( norm === 'f' ) {
-		return frobeniusNorm( M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW );
+		return frobeniusNorm( axis, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW );
 	}
 }
 
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
index 7269dcae141..7840a3af8de 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/dlange.js
@@ -32,6 +32,7 @@ var base = require( './base.js' );
 *
 * @param {string} order - storage layout
 * @param {string} norm - specifies the value to be returned
+* @param {NonNegativeInteger} axis - specifies the axis along which to compute the norm
 * @param {NonNegativeInteger} M - number of rows of `A`
 * @param {NonNegativeInteger} N - number of columns of `A`
 * @param {Float64Array} A - input array
@@ -46,10 +47,10 @@ var base = require( './base.js' );
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var work = new Float64Array( 2 );
 *
-* var out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
+* var out = dlange( 'row-major', 'M', 1, 2, 2, A, 2, work );
 * // returns 4.0
 */
-function dlange( order, norm, M, N, A, LDA, work ) {
+function dlange( order, norm, axis, M, N, A, LDA, work ) {
 	var sa1;
 	var sa2;
 
@@ -63,7 +64,7 @@ function dlange( order, norm, M, N, A, LDA, work ) {
 		sa1 = LDA;
 		sa2 = 1;
 	}
-	return base( norm, M, N, A, sa1, sa2, 0, work, 1, 0 );
+	return base( norm, axis, M, N, A, sa1, sa2, 0, work, 1, 0 );
 }
 
 
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js
index c35cce798a4..7d401fd7d92 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/index.js
@@ -30,7 +30,7 @@
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var work = new Float64Array( 2 );
 *
-* var out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
+* var out = dlange( 'row-major', 'M', 1, 2, 2, A, 2, work );
 * // out => 4.0
 *
 * @example
@@ -40,7 +40,7 @@
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var work = new Float64Array( 2 );
 *
-* var out = dlange.ndarray( 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+* var out = dlange.ndarray( 'M', 1, 2, 2, A, 2, 1, 0, work, 1, 0 );
 * // returns 4.0
 */
 
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js
index 138a9385bcc..90cd886b049 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/lib/ndarray.js
@@ -16,7 +16,7 @@
 * limitations under the License.
 */
 
-/* eslint-disable max-len */
+/* eslint-disable max-len, max-params */
 
 'use strict';
 
@@ -31,6 +31,7 @@ var base = require( './base.js' );
 * Returns the value of one norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a real matrix `A` using alternative indexing semantics.
 *
 * @param {string} norm - specifies the value to be returned
+* @param {NonNegativeInteger} axis - specifies the axis along which to compute the norm
 * @param {NonNegativeInteger} M - number of rows of `A`
 * @param {NonNegativeInteger} N - number of columns of `A`
 * @param {Float64Array} A - input array
@@ -48,11 +49,11 @@ var base = require( './base.js' );
 * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var work = new Float64Array( 2 );
 *
-* var out = dlange( 'M', 2, 2, A, 2, 1, 0, work, 1, 0 );
+* var out = dlange( 'M', 1, 2, 2, A, 2, 1, 0, work, 1, 0 );
 * // returns 4.0
 */
-function dlange( norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) {
-	return base( norm, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW );
+function dlange( norm, axis, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW ) {
+	return base( norm, axis, M, N, A, strideA1, strideA2, offsetA, work, strideW, offsetW );
 }
 
 
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.dlange.js b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.dlange.js
index dc2750f267d..81ba7dc1672 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.dlange.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.dlange.js
@@ -33,8 +33,8 @@ tape( 'main export is a function', function test( t ) {
 	t.end();
 });
 
-tape( 'the function has an arity of 7', function test( t ) {
-	t.strictEqual( dlange.length, 7, 'returns expected value' );
+tape( 'the function has an arity of 8', function test( t ) {
+	t.strictEqual( dlange.length, 8, 'returns expected value' );
 	t.end();
 });
 
@@ -75,9 +75,12 @@ tape( 'the function returns maximum absolute value of elements of a square real
 	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 	work = new Float64Array( 2 );
 
-	out = dlange( 'row-major', 'M', 2, 2, A, 2, work );
+	out = dlange( 'row-major', 'M', 1, 2, 2, A, 2, work );
 	expected = 4.0;
 	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'M', 0, 2, 2, A, 2, work );
+	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
 
@@ -90,9 +93,12 @@ tape( 'the function returns maximum absolute value of elements of a real matrix
 	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
 	work = new Float64Array( 2 );
 
-	out = dlange( 'row-major', 'M', 2, 3, A, 3, work );
+	out = dlange( 'row-major', 'M', 1, 2, 3, A, 3, work );
 	expected = 6.0;
 	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'M', 0, 3, 2, A, 2, work );
+	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
 
@@ -105,9 +111,12 @@ tape( 'the function returns maximum absolute value of elements of a square real
 	A = new Float64Array( [ 1.0, 3.0, 2.0, 4.0 ] );
 	work = new Float64Array( 2 );
 
-	out = dlange( 'column-major', 'M', 2, 2, A, 2, work );
+	out = dlange( 'column-major', 'M', 1, 2, 2, A, 2, work );
 	expected = 4.0;
 	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'column-major', 'M', 0, 2, 2, A, 2, work );
+	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
 
@@ -120,9 +129,12 @@ tape( 'the function returns maximum absolute value of elements of a real matrix
 	A = new Float64Array( [ 1.0, 4.0, 2.0, 5.0, 3.0, 6.0 ] );
 	work = new Float64Array( 2 );
 
-	out = dlange( 'column-major', 'M', 3, 2, A, 2, work );
+	out = dlange( 'column-major', 'M', 1, 3, 2, A, 2, work );
 	expected = 6.0;
 	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'column-major', 'M', 0, 2, 3, A, 3, work );
+	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
 
@@ -135,14 +147,18 @@ tape( 'the function returns the one norm of a square real matrix ( row-major )',
 	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 	work = new Float64Array( 2 );
 
-	out = dlange( 'row-major', '1', 2, 2, A, 2, work );
+	out = dlange( 'row-major', '1', 1, 2, 2, A, 2, work );
 	expected = 6.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', 'O', 2, 2, A, 2, work );
+	out = dlange( 'row-major', 'O', 1, 2, 2, A, 2, work );
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', 'o', 2, 2, A, 2, work );
+	out = dlange( 'row-major', 'o', 1, 2, 2, A, 2, work );
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', '1', 0, 2, 2, A, 2, work );
+	expected = 7.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -156,14 +172,18 @@ tape( 'the function returns the one norm of a real matrix ( row-major )', functi
 	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
 	work = new Float64Array( 2 );
 
-	out = dlange( 'row-major', '1', 2, 3, A, 3, work );
+	out = dlange( 'row-major', '1', 1, 2, 3, A, 3, work );
 	expected = 9.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', 'O', 2, 3, A, 3, work );
+	out = dlange( 'row-major', 'O', 1, 2, 3, A, 3, work );
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'o', 1, 2, 3, A, 3, work );
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', 'o', 2, 3, A, 3, work );
+	out = dlange( 'row-major', '1', 0, 3, 2, A, 2, work );
+	expected = 11.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -177,14 +197,18 @@ tape( 'the function returns the one norm of a square real matrix ( column-major
 	A = new Float64Array( [ 1.0, 3.0, 2.0, 4.0 ] );
 	work = new Float64Array( 2 );
 
-	out = dlange( 'column-major', '1', 2, 2, A, 2, work );
+	out = dlange( 'column-major', '1', 1, 2, 2, A, 2, work );
 	expected = 6.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'column-major', 'O', 2, 2, A, 2, work );
+	out = dlange( 'column-major', 'O', 1, 2, 2, A, 2, work );
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'column-major', 'o', 2, 2, A, 2, work );
+	out = dlange( 'column-major', 'o', 1, 2, 2, A, 2, work );
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'column-major', '1', 0, 2, 2, A, 2, work );
+	expected = 7.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -198,14 +222,18 @@ tape( 'the function returns the one norm of a real matrix ( column-major )', fun
 	A = new Float64Array( [ 1.0, 4.0, 2.0, 5.0, 3.0, 6.0 ] );
 	work = new Float64Array( 2 );
 
-	out = dlange( 'column-major', '1', 3, 2, A, 2, work );
+	out = dlange( 'column-major', '1', 1, 3, 2, A, 2, work );
 	expected = 10.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'column-major', 'O', 3, 2, A, 2, work );
+	out = dlange( 'column-major', 'O', 1, 3, 2, A, 2, work );
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'column-major', 'o', 1, 3, 2, A, 2, work );
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'column-major', 'o', 3, 2, A, 2, work );
+	out = dlange( 'column-major', '1', 0, 3, 2, A, 2, work );
+	expected = 9.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -219,11 +247,15 @@ tape( 'the function returns the infinity norm of a square real matrix ( row-majo
 	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 	work = new Float64Array( 2 );
 
-	out = dlange( 'row-major', 'I', 2, 2, A, 2, work );
+	out = dlange( 'row-major', 'I', 1, 2, 2, A, 2, work );
 	expected = 7.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', 'i', 2, 2, A, 2, work );
+	out = dlange( 'row-major', 'i', 1, 2, 2, A, 2, work );
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'I', 0, 2, 2, A, 2, work );
+	expected = 6.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -237,11 +269,15 @@ tape( 'the function returns the infinity norm of a real matrix ( row-major )', f
 	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
 	work = new Float64Array( 3 );
 
-	out = dlange( 'row-major', 'I', 2, 3, A, 3, work );
+	out = dlange( 'row-major', 'I', 1, 2, 3, A, 3, work );
 	expected = 15.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', 'i', 2, 3, A, 3, work );
+	out = dlange( 'row-major', 'i', 1, 2, 3, A, 3, work );
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'I', 0, 3, 2, A, 2, work );
+	expected = 12.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -255,11 +291,15 @@ tape( 'the function returns the infinity norm of a square real matrix ( column-m
 	A = new Float64Array( [ 1.0, 3.0, 2.0, 4.0 ] );
 	work = new Float64Array( 2 );
 
-	out = dlange( 'column-major', 'I', 2, 2, A, 2, work );
+	out = dlange( 'column-major', 'I', 1, 2, 2, A, 2, work );
 	expected = 7.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'column-major', 'i', 2, 2, A, 2, work );
+	out = dlange( 'column-major', 'i', 1, 2, 2, A, 2, work );
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'column-major', 'I', 0, 2, 2, A, 2, work );
+	expected = 6.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -273,11 +313,15 @@ tape( 'the function returns the infinity norm of a real matrix ( column-major )'
 	A = new Float64Array( [ 1.0, 4.0, 2.0, 5.0, 3.0, 6.0 ] );
 	work = new Float64Array( 3 );
 
-	out = dlange( 'column-major', 'I', 3, 2, A, 2, work );
+	out = dlange( 'column-major', 'I', 1, 3, 2, A, 2, work );
 	expected = 9.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'column-major', 'i', 3, 2, A, 2, work );
+	out = dlange( 'column-major', 'i', 1, 3, 2, A, 2, work );
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'column-major', 'I', 0, 3, 2, A, 2, work );
+	expected = 10.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -291,15 +335,18 @@ tape( 'the function returns the Frobenius norm of a square real matrix ( row-maj
 	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
 	work = new Float64Array( 2 );
 
-	out = dlange( 'row-major', 'F', 2, 2, A, 2, work );
+	out = dlange( 'row-major', 'F', 1, 2, 2, A, 2, work );
 	expected = 5.477225575051661;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', 'f', 2, 2, A, 2, work );
+	out = dlange( 'row-major', 'f', 1, 2, 2, A, 2, work );
 	t.strictEqual( out, expected, 'returns expected value' );
 
 	work = new Float64Array( 1 );
-	out = dlange( 'row-major', 'F', 1, 4, A, 4, work );
+	out = dlange( 'row-major', 'F', 1, 1, 4, A, 4, work );
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'f', 0, 1, 4, A, 4, work );
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -313,11 +360,14 @@ tape( 'the function returns the Frobenius norm of a real matrix ( row-major )',
 	A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
 	work = new Float64Array( 3 );
 
-	out = dlange( 'row-major', 'F', 2, 3, A, 3, work );
+	out = dlange( 'row-major', 'F', 1, 2, 3, A, 3, work );
 	expected = 9.539392014169456;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'row-major', 'f', 2, 3, A, 3, work );
+	out = dlange( 'row-major', 'f', 1, 2, 3, A, 3, work );
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'row-major', 'F', 0, 3, 2, A, 2, work );
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -331,11 +381,14 @@ tape( 'the function returns the Frobenius norm of a square real matrix ( column-
 	A = new Float64Array( [ 1.0, 3.0, 2.0, 4.0 ] );
 	work = new Float64Array( 2 );
 
-	out = dlange( 'column-major', 'F', 2, 2, A, 2, work );
+	out = dlange( 'column-major', 'F', 1, 2, 2, A, 2, work );
 	expected = 5.477225575051661;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'column-major', 'f', 2, 2, A, 2, work );
+	out = dlange( 'column-major', 'f', 1, 2, 2, A, 2, work );
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'column-major', 'F', 0, 2, 2, A, 2, work );
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
@@ -349,11 +402,14 @@ tape( 'the function returns the Frobenius norm of a real matrix ( column-major )
 	A = new Float64Array( [ 1.0, 4.0, 2.0, 5.0, 3.0, 6.0 ] );
 	work = new Float64Array( 3 );
 
-	out = dlange( 'column-major', 'F', 3, 2, A, 2, work );
+	out = dlange( 'column-major', 'F', 1, 3, 2, A, 2, work );
 	expected = 7.681145747868608;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'column-major', 'f', 3, 2, A, 2, work );
+	out = dlange( 'column-major', 'f', 1, 3, 2, A, 2, work );
+	t.strictEqual( out, expected, 'returns expected value' );
+
+	out = dlange( 'column-major', 'F', 0, 3, 2, A, 2, work );
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.js b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.js
index 56b6b40d299..f9d9beab3ae 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.js
@@ -1,3 +1,4 @@
+
 /**
 * @license Apache-2.0
 *
diff --git a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.ndarray.js
index b0bd4343880..6db7b5ed3f2 100644
--- a/lib/node_modules/@stdlib/lapack/base/dlange/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/lapack/base/dlange/test/test.ndarray.js
@@ -33,8 +33,8 @@ tape( 'main export is a function', function test( t ) {
 	t.end();
 });
 
-tape( 'the function has an arity of 10', function test( t ) {
-	t.strictEqual( dlange.length, 10, 'returns expected value' );
+tape( 'the function has an arity of 11', function test( t ) {
+	t.strictEqual( dlange.length, 11, 'returns expected value' );
 	t.end();
 });
 
@@ -47,19 +47,19 @@ tape( 'the function allows specifying offset for computation of norms ( offsetA
 	A = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 1.0, 2.0, 3.0, 4.0 ] );
 	work = new Float64Array( [ 0.0, 0.0, 999.9, 999.9 ] );
 
-	out = dlange( 'M', 2, 2, A, 2, 1, 4, work, 1, 2 );
+	out = dlange( 'M', 1, 2, 2, A, 2, 1, 4, work, 1, 2 );
 	expected = 4.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( '1', 2, 2, A, 2, 1, 4, work, 1, 2 );
+	out = dlange( '1', 1, 2, 2, A, 2, 1, 4, work, 1, 2 );
 	expected = 6.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'I', 2, 2, A, 2, 1, 4, work, 1, 2 );
+	out = dlange( 'I', 1, 2, 2, A, 2, 1, 4, work, 1, 2 );
 	expected = 7.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'F', 2, 2, A, 2, 1, 4, work, 1, 2 );
+	out = dlange( 'F', 1, 2, 2, A, 2, 1, 4, work, 1, 2 );
 	expected = 5.477225575051661;
 	t.strictEqual( out, expected, 'returns expected value' );
 
@@ -75,19 +75,19 @@ tape( 'the function allows accessing elements from an input array which do not h
 	A = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 1.0, 999.9, 2.0, 3.0, 999.9, 4.0 ] );
 	work = new Float64Array( [ 0.0, 0.0, 999.9, 999.9 ] );
 
-	out = dlange( 'M', 2, 2, A, 3, 2, 4, work, 1, 2 );
+	out = dlange( 'M', 1, 2, 2, A, 3, 2, 4, work, 1, 2 );
 	expected = 4.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( '1', 2, 2, A, 3, 2, 4, work, 1, 2 );
+	out = dlange( '1', 1, 2, 2, A, 3, 2, 4, work, 1, 2 );
 	expected = 6.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'I', 2, 2, A, 3, 2, 4, work, 1, 2 );
+	out = dlange( 'I', 1, 2, 2, A, 3, 2, 4, work, 1, 2 );
 	expected = 7.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'F', 2, 2, A, 3, 2, 4, work, 1, 2 );
+	out = dlange( 'F', 1, 2, 2, A, 3, 2, 4, work, 1, 2 );
 	expected = 5.477225575051661;
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
@@ -102,19 +102,19 @@ tape( 'the function allows accessing elements from an input array which do not h
 	A = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 1.0, 999.9, 2.0, 999.9, 999.9, 999.9, 3.0, 999.9, 4.0 ] );
 	work = new Float64Array( [ 0.0, 999.9, 0.0, 999.9 ] );
 
-	out = dlange( 'M', 2, 2, A, 6, 2, 4, work, 2, 1 );
+	out = dlange( 'M', 1, 2, 2, A, 6, 2, 4, work, 2, 1 );
 	expected = 4.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( '1', 2, 2, A, 6, 2, 4, work, 2, 1 );
+	out = dlange( '1', 1, 2, 2, A, 6, 2, 4, work, 2, 1 );
 	expected = 6.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'I', 2, 2, A, 6, 2, 4, work, 2, 1 );
+	out = dlange( 'I', 1, 2, 2, A, 6, 2, 4, work, 2, 1 );
 	expected = 7.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'F', 2, 2, A, 6, 2, 4, work, 2, 1 );
+	out = dlange( 'F', 1, 2, 2, A, 6, 2, 4, work, 2, 1 );
 	expected = 5.477225575051661;
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();
@@ -129,19 +129,19 @@ tape( 'the function supports accessing elements in reverse order', function test
 	A = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 4.0, 999.9, 3.0, 999.9, 999.9, 999.9, 2.0, 999.9, 1.0 ] );
 	work = new Float64Array( [ 0.0, 999.9, 0.0, 999.9 ] );
 
-	out = dlange( 'M', 2, 2, A, -6, -2, 12, work, -1, 3 );
+	out = dlange( 'M', 1, 2, 2, A, -6, -2, 12, work, -1, 3 );
 	expected = 4.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( '1', 2, 2, A, -6, -2, 12, work, -1, 3 );
+	out = dlange( '1', 1, 2, 2, A, -6, -2, 12, work, -1, 3 );
 	expected = 6.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'I', 2, 2, A, -6, -2, 12, work, -1, 3 );
+	out = dlange( 'I', 1, 2, 2, A, -6, -2, 12, work, -1, 3 );
 	expected = 7.0;
 	t.strictEqual( out, expected, 'returns expected value' );
 
-	out = dlange( 'F', 2, 2, A, -6, -2, 12, work, -1, 3 );
+	out = dlange( 'F', 1, 2, 2, A, -6, -2, 12, work, -1, 3 );
 	expected = 5.477225575051661;
 	t.strictEqual( out, expected, 'returns expected value' );
 	t.end();