deploy: f046b4a

.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: e0ee75ce2b490079f7349254ca4184b6
+config: 49f55be5c89fa1585c0672381cc1c1fa
 tags: 645f666f9bcd5a90fca523b33c5a78b7

_sources/sg_execution_times.rst.txt

@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**08:08.670** total execution time for 5 files **from all galleries**:
+**08:05.996** total execution time for 5 files **from all galleries**:
 
 .. container::
 
@@ -33,17 +33,17 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_tutorials_missingmck.py` (``../../tutorials/missingmck.py``)
-     - 04:18.600
+     - 04:15.567
      - 0.0
    * - :ref:`sphx_glr_tutorials_mme.py` (``../../tutorials/mme.py``)
-     - 02:30.990
+     - 02:31.070
      - 0.0
    * - :ref:`sphx_glr_tutorials_marchenko.py` (``../../tutorials/marchenko.py``)
-     - 01:02.153
+     - 01:02.689
      - 0.0
    * - :ref:`sphx_glr_tutorials_raymarchenko.py` (``../../tutorials/raymarchenko.py``)
-     - 00:13.556
+     - 00:13.491
      - 0.0
    * - :ref:`sphx_glr_tutorials_neumarchenko.py` (``../../tutorials/neumarchenko.py``)
-     - 00:03.372
+     - 00:03.180
      - 0.0

_sources/tutorials/marchenko.rst.txt

@@ -250,8 +250,8 @@ for a single subsurface point ``vs``.
 
  .. code-block:: none
 
-    Dot test passed, v^H(Opu)=364.208315674697 - u^H(Op^Hv)=364.20831567469935
-    Dot test passed, v^H(Opu)=-88.22211694909502 - u^H(Op^Hv)=-88.22211694909528
+    Dot test passed, v^H(Opu)=338.1772634473615 - u^H(Op^Hv)=338.17726344736093
+    Dot test passed, v^H(Opu)=404.44029784356525 - u^H(Op^Hv)=404.4402978435644
  
     LSQR            Least-squares solution of  Ax = b
     The matrix A has 282598 rows and 282598 columns
@@ -278,7 +278,7 @@ for a single subsurface point ``vs``.
     istop =       7   r1norm = 6.7e+05   anorm = 4.4e+00   arnorm = 5.1e+05
     itn   =      10   r2norm = 6.7e+05   acond = 1.6e+01   xnorm  = 3.5e+07
  
-    Elapsed time (s): 2.29
+    Elapsed time (s): 2.46
 
 
 
@@ -518,7 +518,7 @@ We now compute the direct arrival traveltime table and run inversion
     istop =       7   r1norm = 6.8e+00   anorm = 4.4e+00   arnorm = 5.2e+00
     itn   =      10   r2norm = 6.8e+00   acond = 1.6e+01   xnorm  = 3.3e+02
  
-    Elapsed time (s): 39.46
+    Elapsed time (s): 39.59
 
 
 
@@ -544,7 +544,7 @@ instead of repeatedly applying
 
  .. code-block:: none
 
-    Speedup between single and multi: 2.96
+    Speedup between single and multi: 3.17
 
 
 
@@ -615,7 +615,7 @@ local reflectivity at the depth level of the virtual sources using
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (1 minutes 2.153 seconds)
+   **Total running time of the script:** (1 minutes 2.689 seconds)
 
 
 .. _sphx_glr_download_tutorials_marchenko.py:

_sources/tutorials/missingmck.rst.txt

@@ -461,7 +461,7 @@ a sparsity promoting solver like :func:`pylops.optimization.sparsity.FISTA`
        399      -0.0000e+00         5.165e+10   3.499e+12   7.642e+03
        400      -0.0000e+00         5.164e+10   3.498e+12   7.616e+03
 
-    Iterations = 400        Total time (s) = 249.00
+    Iterations = 400        Total time (s) = 245.78
     --------------------------------------------------------------------------------
 
 
@@ -633,7 +633,7 @@ and finally the total Green's functions
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (4 minutes 18.600 seconds)
+   **Total running time of the script:** (4 minutes 15.567 seconds)
 
 
 .. _sphx_glr_download_tutorials_missingmck.py:

_sources/tutorials/mme.rst.txt

@@ -240,7 +240,7 @@ We can now compare the original dataset with the demultipled one
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (2 minutes 30.990 seconds)
+   **Total running time of the script:** (2 minutes 31.070 seconds)
 
 
 .. _sphx_glr_download_tutorials_mme.py:

_sources/tutorials/neumarchenko.rst.txt

@@ -328,7 +328,7 @@ and compare the total Green's function with the directly modelled one
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 3.372 seconds)
+   **Total running time of the script:** (0 minutes 3.180 seconds)
 
 
 .. _sphx_glr_download_tutorials_neumarchenko.py:

_sources/tutorials/raymarchenko.rst.txt

@@ -391,7 +391,7 @@ And compare the total Green's function with the directly modelled one
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 13.556 seconds)
+   **Total running time of the script:** (0 minutes 13.491 seconds)
 
 
 .. _sphx_glr_download_tutorials_raymarchenko.py:

_sources/tutorials/sg_execution_times.rst.txt

@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**08:08.670** total execution time for 5 files **from tutorials**:
+**08:05.996** total execution time for 5 files **from tutorials**:
 
 .. container::
 
@@ -33,17 +33,17 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_tutorials_missingmck.py` (``missingmck.py``)
-     - 04:18.600
+     - 04:15.567
      - 0.0
    * - :ref:`sphx_glr_tutorials_mme.py` (``mme.py``)
-     - 02:30.990
+     - 02:31.070
      - 0.0
    * - :ref:`sphx_glr_tutorials_marchenko.py` (``marchenko.py``)
-     - 01:02.153
+     - 01:02.689
      - 0.0
    * - :ref:`sphx_glr_tutorials_raymarchenko.py` (``raymarchenko.py``)
-     - 00:13.556
+     - 00:13.491
      - 0.0
    * - :ref:`sphx_glr_tutorials_neumarchenko.py` (``neumarchenko.py``)
-     - 00:03.372
+     - 00:03.180
      - 0.0

sg_execution_times.html

@@ -434,7 +434,7 @@
 
   <section id="computation-times">
 <span id="sphx-glr-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
-<p><strong>08:08.670</strong> total execution time for 5 files <strong>from all galleries</strong>:</p>
+<p><strong>08:05.996</strong> total execution time for 5 files <strong>from all galleries</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -456,23 +456,23 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="tutorials/missingmck.html#sphx-glr-tutorials-missingmck-py"><span class="std std-ref">3. Marchenko redatuming with missing sources</span></a> (<code class="docutils literal notranslate"><span class="pre">../../tutorials/missingmck.py</span></code>)</p></td>
-<td><p>04:18.600</p></td>
+<td><p>04:15.567</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="tutorials/mme.html#sphx-glr-tutorials-mme-py"><span class="std std-ref">5. Marchenko Multiple Elimination</span></a> (<code class="docutils literal notranslate"><span class="pre">../../tutorials/mme.py</span></code>)</p></td>
-<td><p>02:30.990</p></td>
+<td><p>02:31.070</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="tutorials/marchenko.html#sphx-glr-tutorials-marchenko-py"><span class="std std-ref">2. Marchenko redatuming by inversion</span></a> (<code class="docutils literal notranslate"><span class="pre">../../tutorials/marchenko.py</span></code>)</p></td>
-<td><p>01:02.153</p></td>
+<td><p>01:02.689</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="tutorials/raymarchenko.html#sphx-glr-tutorials-raymarchenko-py"><span class="std std-ref">4. Rayleigh-Marchenko redatuming</span></a> (<code class="docutils literal notranslate"><span class="pre">../../tutorials/raymarchenko.py</span></code>)</p></td>
-<td><p>00:13.556</p></td>
+<td><p>00:13.491</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="tutorials/neumarchenko.html#sphx-glr-tutorials-neumarchenko-py"><span class="std std-ref">1. Marchenko redatuming by iterative substitution</span></a> (<code class="docutils literal notranslate"><span class="pre">../../tutorials/neumarchenko.py</span></code>)</p></td>
-<td><p>00:03.372</p></td>
+<td><p>00:03.180</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>

tutorials/marchenko.html

@@ -607,8 +607,8 @@
 <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Elapsed time (s): </span><span class="si">%.2f</span><span class="s1">&#39;</span> <span class="o">%</span> <a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tone</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Dot test passed, v^H(Opu)=364.208315674697 - u^H(Op^Hv)=364.20831567469935
-Dot test passed, v^H(Opu)=-88.22211694909502 - u^H(Op^Hv)=-88.22211694909528
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Dot test passed, v^H(Opu)=338.1772634473615 - u^H(Op^Hv)=338.17726344736093
+Dot test passed, v^H(Opu)=404.44029784356525 - u^H(Op^Hv)=404.4402978435644
 
 LSQR            Least-squares solution of  Ax = b
 The matrix A has 282598 rows and 282598 columns
@@ -635,7 +635,7 @@
 istop =       7   r1norm = 6.7e+05   anorm = 4.4e+00   arnorm = 5.1e+05
 itn   =      10   r2norm = 6.7e+05   acond = 1.6e+01   xnorm  = 3.5e+07
 
-Elapsed time (s): 2.29
+Elapsed time (s): 2.46
 </pre></div>
 </div>
 <p>We can now compare the result of Marchenko redatuming via LSQR
@@ -794,7 +794,7 @@
 istop =       7   r1norm = 6.8e+00   anorm = 4.4e+00   arnorm = 5.2e+00
 itn   =      10   r2norm = 6.8e+00   acond = 1.6e+01   xnorm  = 3.3e+02
 
-Elapsed time (s): 39.46
+Elapsed time (s): 39.59
 </pre></div>
 </div>
 <p>Let’s evaluate how faster is to actually use
@@ -804,7 +804,7 @@
 <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Speedup between single and multi: </span><span class="si">%.2f</span><span class="s1">&#39;</span> <span class="o">%</span> <span class="p">((</span><a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tone</span></a> <span class="o">*</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">nvs</span></a><span class="p">)</span> <span class="o">/</span> <a href="https://docs.python.org/3/library/functions.html#float" title="builtins.float" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">tmulti</span></a><span class="p">))</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Speedup between single and multi: 2.96
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Speedup between single and multi: 3.17
 </pre></div>
 </div>
 <p>Finally we can take this example one step further and try to recover the
@@ -852,7 +852,7 @@
 <a href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure.tight_layout" title="matplotlib.figure.Figure.tight_layout" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-method"><span class="n">fig</span><span class="o">.</span><span class="n">tight_layout</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_marchenko_008.png" srcset="../_images/sphx_glr_marchenko_008.png" alt="R single-scattering, R Marchenko" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 2.153 seconds)</p>
+<img src="../_images/sphx_glr_marchenko_008.png" srcset="../_images/sphx_glr_marchenko_008.png" alt="R single-scattering, R Marchenko" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (1 minutes 2.689 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-marchenko-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/d4edeb99f8a02bd9b1844189a128297f/marchenko.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">marchenko.ipynb</span></code></a></p>

tutorials/missingmck.html

@@ -781,7 +781,7 @@
    399      -0.0000e+00         5.165e+10   3.499e+12   7.642e+03
    400      -0.0000e+00         5.164e+10   3.498e+12   7.616e+03
 
-Iterations = 400        Total time (s) = 249.00
+Iterations = 400        Total time (s) = 245.78
 --------------------------------------------------------------------------------
 </pre></div>
 </div>
@@ -890,7 +890,7 @@
 <a href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure.tight_layout" title="matplotlib.figure.Figure.tight_layout" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-method"><span class="n">fig</span><span class="o">.</span><span class="n">tight_layout</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_missingmck_006.png" srcset="../_images/sphx_glr_missingmck_006.png" alt="$G_{true}$, $G_{est} L2$, $G_{est}$ L1 radon" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (4 minutes 18.600 seconds)</p>
+<img src="../_images/sphx_glr_missingmck_006.png" srcset="../_images/sphx_glr_missingmck_006.png" alt="$G_{true}$, $G_{est} L2$, $G_{est}$ L1 radon" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (4 minutes 15.567 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-missingmck-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/a80a60d517482d5b01bc6d32037ad939/missingmck.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">missingmck.ipynb</span></code></a></p>

tutorials/mme.html

@@ -596,7 +596,7 @@
 <a href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure.tight_layout" title="matplotlib.figure.Figure.tight_layout" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-method"><span class="n">fig</span><span class="o">.</span><span class="n">tight_layout</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_mme_003.png" srcset="../_images/sphx_glr_mme_003.png" alt="$R$, $R_{TMME}$, $Diff.$" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (2 minutes 30.990 seconds)</p>
+<img src="../_images/sphx_glr_mme_003.png" srcset="../_images/sphx_glr_mme_003.png" alt="$R$, $R_{TMME}$, $Diff.$" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (2 minutes 31.070 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-mme-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/c34b7bb1ee3ca4da1f6fc985126ab3e4/mme.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">mme.ipynb</span></code></a></p>

tutorials/neumarchenko.html

@@ -647,7 +647,7 @@
 <a href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure.tight_layout" title="matplotlib.figure.Figure.tight_layout" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-method"><span class="n">fig</span><span class="o">.</span><span class="n">tight_layout</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_neumarchenko_005.png" srcset="../_images/sphx_glr_neumarchenko_005.png" alt="$G_{true}$, $G_{est}$" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 3.372 seconds)</p>
+<img src="../_images/sphx_glr_neumarchenko_005.png" srcset="../_images/sphx_glr_neumarchenko_005.png" alt="$G_{true}$, $G_{est}$" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 3.180 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-neumarchenko-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/91165a8fa6b34c107ba0a0f1bcc9fb74/neumarchenko.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">neumarchenko.ipynb</span></code></a></p>

tutorials/raymarchenko.html

@@ -706,7 +706,7 @@
 <a href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure.tight_layout" title="matplotlib.figure.Figure.tight_layout" class="sphx-glr-backref-module-matplotlib-figure sphx-glr-backref-type-py-method"><span class="n">fig</span><span class="o">.</span><span class="n">tight_layout</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_raymarchenko_005.png" srcset="../_images/sphx_glr_raymarchenko_005.png" alt="$G_{true}$, $G_{est}$" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 13.556 seconds)</p>
+<img src="../_images/sphx_glr_raymarchenko_005.png" srcset="../_images/sphx_glr_raymarchenko_005.png" alt="$G_{true}$, $G_{est}$" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 13.491 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-raymarchenko-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/cf73e0fcd2ba2637c93109e4c7d459dc/raymarchenko.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">raymarchenko.ipynb</span></code></a></p>