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hurak · Dec 14, 2024 · 8f02717 · 8f02717
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diff --git a/.nojekyll b/.nojekyll
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diff --git a/classes_reset.html b/classes_reset.html
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diff --git a/complementarity_constraints.html b/complementarity_constraints.html
@@ -705,8 +705,8 @@ <h2 class="anchored" data-anchor-id="geometric-interpretation-of-complementarity
 </div>
 <p>Optimization over these constraints is difficult, and not only because the feasible set is nonconvex, but also because <em>constraint qualification</em> conditions are not satisfied. Still, some results and tools are available for some classes of optimization problems with these constraints.</p>
 </section>
-<section id="linear-complementarity-problem-lcp" class="level2 scrollable">
-<h2 class="scrollable anchored" data-anchor-id="linear-complementarity-problem-lcp">Linear complementarity problem (LCP)</h2>
+<section id="linear-complementarity-problem-lcp" class="level2">
+<h2 class="anchored" data-anchor-id="linear-complementarity-problem-lcp">Linear complementarity problem (LCP)</h2>
 <p>For a given square matrix <span class="math inline">\mathbf M</span> and a vector <span class="math inline">\mathbf q</span> , the <em>linear complementarity problem</em> (LCP) asks for finding two vectors <span class="math inline">\bm w</span> and <span class="math inline">\bm z</span> satisfying <span class="math display">
   \begin{aligned}
   \bm w-\mathbf M\bm z &amp;= \mathbf q \\

diff --git a/complementarity_figures/coulomb_friction.png b/complementarity_figures/coulomb_friction.png
diff --git a/complementarity_references 24.html b/complementarity_references 24.html
diff --git a/complementarity_simulations.html b/complementarity_simulations.html
diff --git a/complementarity_simulations_files 12/figure-html/fig-state-portrait-output-1.svg b/complementarity_simulations_files 12/figure-html/fig-state-portrait-output-1.svg
diff --git a/des_automata 23.html b/des_automata 23.html
diff --git a/des_automata.html b/des_automata.html
@@ -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) = [4, 0, 3, 2]
+<pre><code>x_initial = rand(0:k, n) = [2, 0, 2, 3]
 output(dtr) = [0, 1, 1, 1]
-(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>
+(update!(dtr), output(dtr)) = ([2, 2, 0, 2], [1, 0, 1, 1])
+(update!(dtr), output(dtr)) = ([3, 2, 2, 0], [0, 1, 0, 1])
+(update!(dtr), output(dtr)) = ([3, 3, 2, 2], [0, 0, 1, 0])
+(update!(dtr), output(dtr)) = ([3, 3, 3, 2], [0, 0, 0, 1])
+(update!(dtr), output(dtr)) = ([3, 3, 3, 3], [1, 0, 0, 0])</code></pre>
 </div>
 <div class="cell-output cell-output-display" data-execution_count="1">
-<pre><code>([1, 1, 4, 4], [0, 0, 1, 0])</code></pre>
+<pre><code>([3, 3, 3, 3], [1, 0, 0, 0])</code></pre>
 </div>
 </div>
 <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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