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diff --git a/_downloads/09b83b84e67dd3bf3bfa9889ef5464d2/linop-5.pdf b/_downloads/09b83b84e67dd3bf3bfa9889ef5464d2/linop-5.pdf
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diff --git a/_downloads/e8cf3ce50f34b6ff0831d06aeebabca8/linop-6.pdf b/_downloads/e8cf3ce50f34b6ff0831d06aeebabca8/linop-6.pdf
diff --git a/_downloads/ef375de8a555744bde8d66d2be4d2ecd/linop-4.pdf b/_downloads/ef375de8a555744bde8d66d2be4d2ecd/linop-4.pdf
diff --git a/_downloads/f8ee9bb8e004715b22514fc6afbb3a71/linop-7_02.pdf b/_downloads/f8ee9bb8e004715b22514fc6afbb3a71/linop-7_02.pdf
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diff --git a/_parse_plugins/plugins.db b/_parse_plugins/plugins.db
diff --git a/guide/diff_ops.html b/guide/diff_ops.html
@@ -292,7 +292,7 @@ <h2>Partial Derivatives<a class="headerlink" href="#Partial-Derivatives" title="
 <div class="math notranslate nohighlight">
 \[\mathbf{D} f [n] = f[n+1] - f[n]\]</div>
 <p>As we will see below, this is the forward finite difference approximation. This could be implemented in <strong>matrix-form</strong>, in which case it would look like this:</p>
-<center><p><img alt="0dae8bb271b2475d95e821e6a370ea5e" class="no-scaled-link" src="../_images/matrix-form.png" style="width: 400px;"/></p>
+<center><p><img alt="875bb48c2d064c2e96edd550b6d7e188" class="no-scaled-link" src="../_images/matrix-form.png" style="width: 400px;"/></p>
 </center><p>Or, it could be instead implemented via a for loop, in which the case of large input signals, would not require storing a large matrix:</p>
 <div class="nbinput nblast docutils container">
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[1]:

diff --git a/plot_directive/api/abc-1.pdf b/plot_directive/api/abc-1.pdf
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diff --git a/plot_directive/api/operator/linop-1.pdf b/plot_directive/api/operator/linop-1.pdf
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