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Expand Up @@ -312,11 +312,6 @@ <h1>Source code for implementations.convergence_controller_classes.adaptive_coll
<span class="kc">False</span><span class="p">,</span>
<span class="s2">&quot;Switching the collocation problems requires solving them to some tolerance that can be reached. Please set attainable `restol` in the level params&quot;</span><span class="p">,</span>
<span class="p">)</span>
<span class="k">if</span> <span class="n">description</span><span class="p">[</span><span class="s2">&quot;step_params&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;maxiter&quot;</span><span class="p">,</span> <span class="o">-</span><span class="mf">1.0</span><span class="p">)</span> <span class="o">&lt;</span> <span class="mi">99</span><span class="p">:</span>
<span class="k">return</span> <span class="p">(</span>
<span class="kc">False</span><span class="p">,</span>
<span class="s2">&quot;Switching the collocation problems requires solving them exactly, which may require many iterations please set `maxiter` to at least 99 in the step params&quot;</span><span class="p">,</span>
<span class="p">)</span>

<span class="k">return</span> <span class="kc">True</span><span class="p">,</span> <span class="s2">&quot;&quot;</span></div>
</div>
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Expand Up @@ -101,6 +101,8 @@ <h1>Source code for implementations.convergence_controller_classes.estimate_poly
<span class="s1">&#39;You cannot interpolate with lower accuracy to the end point if the end point is a node!&#39;</span>
<span class="p">)</span>

<span class="bp">self</span><span class="o">.</span><span class="n">interpolation_matrix</span> <span class="o">=</span> <span class="kc">None</span>

<span class="k">return</span> <span class="n">defaults</span></div>


Expand Down Expand Up @@ -183,16 +185,18 @@ <h1>Source code for implementations.convergence_controller_classes.estimate_poly
<span class="n">nodes</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">coll</span><span class="o">.</span><span class="n">nodes</span><span class="p">),</span> <span class="mf">1.0</span><span class="p">)</span>
<span class="n">estimate_on_node</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">params</span><span class="o">.</span><span class="n">estimate_on_node</span>

<span class="n">interpolator</span> <span class="o">=</span> <span class="n">LagrangeApproximation</span><span class="p">(</span>
<span class="n">points</span><span class="o">=</span><span class="p">[</span><span class="n">nodes</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">coll</span><span class="o">.</span><span class="n">num_nodes</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="k">if</span> <span class="n">i</span> <span class="o">!=</span> <span class="n">estimate_on_node</span><span class="p">]</span>
<span class="p">)</span>
<span class="n">interpolation_matrix</span> <span class="o">=</span> <span class="n">interpolator</span><span class="o">.</span><span class="n">getInterpolationMatrix</span><span class="p">([</span><span class="n">nodes</span><span class="p">[</span><span class="n">estimate_on_node</span><span class="p">]])</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">interpolation_matrix</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">interpolator</span> <span class="o">=</span> <span class="n">LagrangeApproximation</span><span class="p">(</span>
<span class="n">points</span><span class="o">=</span><span class="p">[</span><span class="n">nodes</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">coll</span><span class="o">.</span><span class="n">num_nodes</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="k">if</span> <span class="n">i</span> <span class="o">!=</span> <span class="n">estimate_on_node</span><span class="p">]</span>
<span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">interpolation_matrix</span> <span class="o">=</span> <span class="n">interpolator</span><span class="o">.</span><span class="n">getInterpolationMatrix</span><span class="p">([</span><span class="n">nodes</span><span class="p">[</span><span class="n">estimate_on_node</span><span class="p">]])</span>

<span class="n">u</span> <span class="o">=</span> <span class="p">[</span>
<span class="n">L</span><span class="o">.</span><span class="n">u</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span> <span class="k">if</span> <span class="n">L</span><span class="o">.</span><span class="n">u</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">L</span><span class="o">.</span><span class="n">u</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">coll</span><span class="o">.</span><span class="n">num_nodes</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
<span class="k">if</span> <span class="n">i</span> <span class="o">!=</span> <span class="n">estimate_on_node</span>
<span class="p">]</span>
<span class="n">u_inter</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">interpolation_matrix</span><span class="p">,</span> <span class="n">u</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">L</span><span class="o">.</span><span class="n">prob</span><span class="o">.</span><span class="n">init</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="n">u_inter</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">interpolation_matrix</span><span class="p">,</span> <span class="n">u</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">L</span><span class="o">.</span><span class="n">prob</span><span class="o">.</span><span class="n">init</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>

<span class="c1"># compute end point if needed</span>
<span class="k">if</span> <span class="n">estimate_on_node</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="n">nodes</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">:</span>
Expand All @@ -211,7 +215,12 @@ <h1>Source code for implementations.convergence_controller_classes.estimate_poly
<span class="bp">self</span><span class="o">.</span><span class="n">comm</span><span class="o">.</span><span class="n">Bcast</span><span class="p">(</span><span class="n">buf</span><span class="p">,</span> <span class="n">root</span><span class="o">=</span><span class="n">rank</span><span class="p">)</span>
<span class="n">L</span><span class="o">.</span><span class="n">status</span><span class="o">.</span><span class="n">error_embedded_estimate</span> <span class="o">=</span> <span class="n">buf</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">L</span><span class="o">.</span><span class="n">status</span><span class="o">.</span><span class="n">error_embedded_estimate</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">u_inter</span> <span class="o">-</span> <span class="n">high_order_sol</span><span class="p">)</span></div>
<span class="n">L</span><span class="o">.</span><span class="n">status</span><span class="o">.</span><span class="n">error_embedded_estimate</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">u_inter</span> <span class="o">-</span> <span class="n">high_order_sol</span><span class="p">)</span>

<span class="bp">self</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
<span class="sa">f</span><span class="s1">&#39;Obtained error estimate: </span><span class="si">{</span><span class="n">L</span><span class="o">.</span><span class="n">status</span><span class="o">.</span><span class="n">error_embedded_estimate</span><span class="si">:</span><span class="s1">.2e</span><span class="si">}</span><span class="s1"> of order </span><span class="si">{</span><span class="n">L</span><span class="o">.</span><span class="n">status</span><span class="o">.</span><span class="n">order_embedded_estimate</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">,</span>
<span class="n">S</span><span class="p">,</span>
<span class="p">)</span></div>


<div class="viewcode-block" id="EstimatePolynomialError.check_parameters">
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