Added Sparse Matrix multiplication implementation (#2903)

operations_on_datastructures/SparseMatrixCompression.cpp

@@ -0,0 +1,181 @@
+/**
+ * @file
+ * @brief Implementation of Sparse Matrix Compression (Row-Major and
+ * Column-Major) with efficient retrieval and decompression.
+ *
+ * @details
+ * This program provides:
+ * - Compression: Stores only non-zero elements in both row-major and
+ * column-major formats.
+ * - Retrieval: Allows efficient retrieval of original matrix values.
+ * - Decompression: Reconstructs the original matrix from compressed data.
+ *
+ * @author: [vrtarimala](https://github.com/vrtarimala)
+ */
+
+#include <cassert>
+#include <iostream>
+#include <map>
+#include <vector>
+
+using namespace std;
+
+class SparseMatrix {
+ private:
+    int rows;  ///< Number of rows in the original matrix.
+    int cols;  ///< Number of columns in the original matrix.
+
+    // Map to store non-zero elements as key-value pairs
+    // Key: (row, col) pair; Value: non-zero element
+    map<pair<int, int>, int> data;
+
+ public:
+    SparseMatrix(int r, int c) : rows(r), cols(c) {}
+
+    /**
+     * @brief Compresses a given sparse matrix in row-major order.
+     * @param matrix 2D vector representing the sparse matrix.
+     */
+    void compressRowMajor(const vector<vector<int> > &matrix) {
+        data.clear();
+        for (int i = 0; i < rows; i++) {
+            for (int j = 0; j < cols; j++) {
+                if (matrix[i][j] != 0) {
+                    data[{i, j}] = matrix[i][j];
+                }
+            }
+        }
+    }
+
+    /**
+     * @brief Compresses a given sparse matrix in column-major order.
+     * @param matrix 2D vector representing the sparse matrix.
+     */
+    void compressColumnMajor(const vector<vector<int> > &matrix) {
+        data.clear();
+        for (int j = 0; j < cols; j++) {
+            for (int i = 0; i < rows; i++) {
+                if (matrix[i][j] != 0) {
+                    data[{i, j}] = matrix[i][j];
+                }
+            }
+        }
+    }
+
+    /**
+     * @brief Decompresses the sparse matrix to its original form.
+     * @return 2D vector representing the original matrix.
+     */
+    vector<vector<int> > decompress() const {
+        vector<vector<int> > matrix(rows, vector<int>(cols, 0));
+        for (const auto &[key, value] : data) {
+            matrix[key.first][key.second] = value;
+        }
+        return matrix;
+    }
+
+    /**
+     * @brief Retrieves the value at a given row and column.
+     * @param row Row index of the element.
+     * @param col Column index of the element.
+     * @return Value at the specified position (0 if not present).
+     */
+    int getValue(int row, int col) const {
+        auto it = data.find({row, col});
+        if (it != data.end()) {
+            return it->second;
+        }
+        return 0;  // Default to 0 if the value is not stored.
+    }
+
+    /**
+     * @brief Prints the compressed representation of the matrix.
+     */
+    void printCompressed() const {
+        cout << "Compressed Representation:\n";
+        for (const auto &[key, value] : data) {
+            cout << "(" << key.first << ", " << key.second << ", " << value
+                 << ")\n";
+        }
+    }
+};
+
+void runTests() {
+    cout << "\nTest Case 1: Basic Row-Major Compression\n";
+    vector<vector<int> > matrix1 = {{5, 0, 0}, {0, 8, 0}, {0, 0, 3}};
+
+    SparseMatrix sparseMatrix1(3, 3);
+    sparseMatrix1.compressRowMajor(matrix1);
+    sparseMatrix1.printCompressed();
+
+    // Test decompression
+    auto decompressedMatrix1 = sparseMatrix1.decompress();
+    assert(matrix1 == decompressedMatrix1);
+
+    // Test retrieval
+    assert(sparseMatrix1.getValue(0, 0) == 5);
+    assert(sparseMatrix1.getValue(1, 1) == 8);
+    assert(sparseMatrix1.getValue(2, 2) == 3);
+    assert(sparseMatrix1.getValue(1, 2) == 0);
+
+    cout << "Passed Test Case 1.\n";
+
+    cout << "\nTest Case 2: Basic Column-Major Compression\n";
+    SparseMatrix sparseMatrix2(3, 3);
+    sparseMatrix2.compressColumnMajor(matrix1);
+    sparseMatrix2.printCompressed();
+
+    // Test decompression
+    auto decompressedMatrix2 = sparseMatrix2.decompress();
+    assert(matrix1 == decompressedMatrix2);
+
+    // Test retrieval
+    assert(sparseMatrix2.getValue(0, 0) == 5);
+    assert(sparseMatrix2.getValue(1, 1) == 8);
+    assert(sparseMatrix2.getValue(2, 2) == 3);
+    assert(sparseMatrix2.getValue(1, 2) == 0);
+
+    cout << "Passed Test Case 2.\n";
+
+    cout << "\nTest Case 3: Matrix with All Zeros\n";
+    vector<vector<int> > matrix2 = {{0, 0, 0}, {0, 0, 0}, {0, 0, 0}};
+
+    SparseMatrix sparseMatrix3(3, 3);
+    sparseMatrix3.compressRowMajor(matrix2);
+    sparseMatrix3.printCompressed();
+
+    auto decompressedMatrix3 = sparseMatrix3.decompress();
+    assert(matrix2 == decompressedMatrix3);
+
+    assert(sparseMatrix3.getValue(0, 0) == 0);
+    assert(sparseMatrix3.getValue(1, 1) == 0);
+
+    cout << "Passed Test Case 3.\n";
+
+    cout << "\nTest Case 4: Large Sparse Matrix\n";
+    vector<vector<int> > matrix3(10, vector<int>(10, 0));
+    matrix3[1][2] = 10;
+    matrix3[3][4] = 20;
+    matrix3[5][6] = 30;
+
+    SparseMatrix sparseMatrix4(10, 10);
+    sparseMatrix4.compressRowMajor(matrix3);
+    sparseMatrix4.printCompressed();
+
+    auto decompressedMatrix4 = sparseMatrix4.decompress();
+    assert(matrix3 == decompressedMatrix4);
+
+    assert(sparseMatrix4.getValue(1, 2) == 10);
+    assert(sparseMatrix4.getValue(3, 4) == 20);
+    assert(sparseMatrix4.getValue(5, 6) == 30);
+    assert(sparseMatrix4.getValue(0, 0) == 0);
+
+    cout << "Passed Test Case 4.\n";
+
+    cout << "\nAll Test Cases Passed.\n";
+}
+
+int main() {
+    runTests();
+    return 0;
+}