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hurak committed Dec 10, 2024
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2 changes: 1 addition & 1 deletion .nojekyll
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Expand Up @@ -662,7 +662,7 @@ <h2 class="anchored" data-anchor-id="solving-optimization-problems-with-compleme
</ul>
<p>When restricted to Matlab, there are several options, all of them commercial:</p>
<ul>
<li><a href="https://www.mathworks.com/help/optim/index.html">Optimization Toolbox for Matlab</a> does not offer a specialized solver for complementarity problems. The <code>fmincon</code> function can only handle it as a general nonlinear constraint <span class="math inline">g_1(x)g_2(x)</span>.</li>
<li><a href="https://www.mathworks.com/help/optim/index.html">Optimization Toolbox for Matlab</a> does not offer a specialized solver for complementarity problems. The <code>fmincon</code> function can only handle it as a general nonlinear constraint <span class="math inline">g_1(x)g_2(x)=0, \, g_1(x) \geq 0, \, g_2(x) \geq 0</span>.</li>
<li><a href="https://tomopt.com/tomlab/">Tomlab</a> toolbox has some <a href="https://tomopt.com/docs/quickguide/quickguide029.php">support for complementarity constraints</a>.</li>
<li><a href="https://www.artelys.com/solvers/knitro/">Knitro</a> solver (by Artelys) has some <a href="https://www.artelys.com/docs/knitro/2_userGuide/complementarity.html">support for complementarity constraints</a>.</li>
<li><a href="https://yalmip.github.io">YALMIP</a> toolbox supports definining the complementarity constraints through the command <a href="https://yalmip.github.io/command/complements/">complements</a>: <code>F = complements(w &gt;= 0, z &gt;= 0)</code>. By default, it converts the problem into the format suitable for a mixed-integer solver. If Knitro is available, it can be interfaced.</li>
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Expand Up @@ -2131,16 +2131,16 @@ <h3 class="anchored" data-anchor-id="mealy-machine">Mealy machine</h3>
<span id="cb3-11"><a href="#cb3-11" aria-hidden="true" tabindex="-1"></a><span class="pp">@show</span> <span class="fu">update!</span>(dtr), <span class="fu">output</span>(dtr)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
<div class="cell-output cell-output-stdout">
<pre><code>x_initial = rand(0:k, n) = [1, 0, 4, 3]
<pre><code>x_initial = rand(0:k, n) = [4, 0, 3, 2]
output(dtr) = [0, 1, 1, 1]
(update!(dtr), output(dtr)) = ([1, 1, 0, 4], [0, 0, 1, 1])
(update!(dtr), output(dtr)) = ([1, 1, 1, 0], [0, 0, 0, 1])
(update!(dtr), output(dtr)) = ([1, 1, 1, 1], [1, 0, 0, 0])
(update!(dtr), output(dtr)) = ([2, 1, 1, 1], [0, 1, 0, 0])
(update!(dtr), output(dtr)) = ([2, 2, 1, 1], [0, 0, 1, 0])</code></pre>
(update!(dtr), output(dtr)) = ([4, 4, 0, 3], [0, 0, 1, 1])
(update!(dtr), output(dtr)) = ([4, 4, 4, 0], [0, 0, 0, 1])
(update!(dtr), output(dtr)) = ([4, 4, 4, 4], [1, 0, 0, 0])
(update!(dtr), output(dtr)) = ([1, 4, 4, 4], [0, 1, 0, 0])
(update!(dtr), output(dtr)) = ([1, 1, 4, 4], [0, 0, 1, 0])</code></pre>
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<pre><code>([2, 2, 1, 1], [0, 0, 1, 0])</code></pre>
<pre><code>([1, 1, 4, 4], [0, 0, 1, 0])</code></pre>
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<p>We can see that although initially the there can be more tokens, after a few iterations the algorithm achieves the goal of having just one token in the ring.</p>
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</url>
<url>
<loc>https://hurak.github.io/hys/complementarity_software.html</loc>
<lastmod>2024-09-09T19:06:06.203Z</lastmod>
<lastmod>2024-12-09T23:26:01.667Z</lastmod>
</url>
<url>
<loc>https://hurak.github.io/hys/stability_via_common_lyapunov_function.html</loc>
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Expand Up @@ -784,7 +784,7 @@ <h1 class="title">Stability via multiple Lyapunov functions</h1>
│ └─ Convex.NegateAtom (affine; real)
│ └─ …
├─ PSD constraint (convex)
│ └─ 2×2 real variable (id: 126…042)
│ └─ 2×2 real variable (id: 440…606)
</code></pre>
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