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‎_sources/attribute/xpress.md.txt‎

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* - IISUpperBound
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- ✅
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- ❌
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* - ReducedCost
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- ✅
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- ❌
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:::
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### Supported [constraint attribute](#pyoptinterface.ConstraintAttribute)

‎attribute/xpress.html‎

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<td><p>✅</p></td>
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<td><p>❌</p></td>
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</tr>
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<tr class="row-even"><td><p>ReducedCost</p></td>
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<td><p>✅</p></td>
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<td><p>❌</p></td>
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</tr>
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</tbody>
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</table>
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‎constraint.html‎

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<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pyoptinterface._src.core_ext.ConstraintIndex at 0x7eff4ca5c4f0&gt;
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<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pyoptinterface._src.core_ext.ConstraintIndex at 0x7f17d0cec750&gt;
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<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pyoptinterface._src.core_ext.ConstraintIndex at 0x7eff4ca5ccd0&gt;
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<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pyoptinterface._src.core_ext.ConstraintIndex at 0x7f17d0cecbf0&gt;
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<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pyoptinterface._src.core_ext.ConstraintIndex at 0x7eff4ca5cd30&gt;
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<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pyoptinterface._src.core_ext.ConstraintIndex at 0x7f17d0cecc50&gt;
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‎container.html‎

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RHS [1e+00, 1e+00]
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Iteration Objective NullspaceDim
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0 20.000001 0 0.00s
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100 5.8333336 50 0.00s
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200 3.3333335 100 0.00s
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100 5.8333336 50 0.01s
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200 3.3333335 100 0.01s
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300 2.3611112 150 0.01s
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360 2.0000001 180 0.01s
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Model status : Optimal

‎examples/optimal_control_rocket.html‎

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Number of equality constraint Jacobian evaluations = 38
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Number of Lagrangian Hessian evaluations = 37
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Total CPU secs in IPOPT (w/o function evaluations) = 0.354
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Total CPU secs in IPOPT (w/o function evaluations) = 0.352
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EXIT: Optimal Solution Found.

‎examples/optimal_power_flow.html‎

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Total CPU secs in IPOPT (w/o function evaluations) = 0.005
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Total CPU secs in IPOPT (w/o function evaluations) = 0.004
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EXIT: Optimal Solution Found.

‎expression.html‎

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Wall time: 716 μs
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Wall time: 714 μs
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Wall time: 15.4 ms
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‎index.html‎

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<h2>Citation<a class="headerlink" href="#citation" title="Link to this heading"></a></h2>
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<p>If you use PyOptInterface in your research, please consider citing <a class="reference external" href="https://arxiv.org/abs/2405.10130">the following paper</a>:</p>
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<div class="highlight-bibtex notranslate"><div class="highlight"><pre><span></span><span class="nc">@misc</span><span class="p">{</span><span class="nl">yang2024pyoptinterface</span><span class="p">,</span>
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<span class="w"> </span><span class="na">title</span><span class="p">=</span><span class="s">{PyOptInterface: Design and implementation of an efficient modeling language for mathematical optimization}</span><span class="p">,</span><span class="w"> </span>
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<span class="w"> </span><span class="na">author</span><span class="p">=</span><span class="s">{Yue Yang and Chenhui Lin and Luo Xu and Wenchuan Wu}</span><span class="p">,</span>
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<span class="w"> </span><span class="na">year</span><span class="p">=</span><span class="s">{2024}</span><span class="p">,</span>
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<span class="w"> </span><span class="na">eprint</span><span class="p">=</span><span class="s">{2405.10130}</span><span class="p">,</span>
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<span class="w"> </span><span class="na">archivePrefix</span><span class="p">=</span><span class="s">{arXiv}</span><span class="p">,</span>
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<span class="w"> </span><span class="na">primaryClass</span><span class="p">=</span><span class="s">{cs.MS}</span>
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<p>If you use the nonlinear optimization feature of PyOptInterface, please consider citing <a class="reference external" href="https://ieeexplore.ieee.org/document/10721402">the following paper</a> as well:</p>
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<p>If you use PyOptInterface in your research, please consider citing <a class="reference external" href="https://ieeexplore.ieee.org/document/10721402">the following paper</a>:</p>
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<div class="highlight-bibtex notranslate"><div class="highlight"><pre><span></span><span class="nc">@article</span><span class="p">{</span><span class="nl">yang2024accelerating</span><span class="p">,</span>
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<span class="w"> </span><span class="na">author</span><span class="p">=</span><span class="s">{Yang, Yue and Lin, Chenhui and Xu, Luo and Yang, Xiaodong and Wu, Wenchuan and Wang, Bin}</span><span class="p">,</span>

‎infeasibility.html‎

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<p>This code snippet creates an infeasible model with two constraints and finds the IIS of the model. Obviously, the constraints are contradictory because <code class="docutils literal notranslate"><span class="pre">x</span> <span class="pre">+</span> <span class="pre">2</span> <span class="pre">*</span> <span class="pre">y</span> <span class="pre">&lt;=</span> <span class="pre">1</span></code> and <code class="docutils literal notranslate"><span class="pre">x</span> <span class="pre">+</span> <span class="pre">y</span> <span class="pre">&gt;=</span> <span class="pre">5</span></code> cannot be satisfied at the same time when <code class="docutils literal notranslate"><span class="pre">x</span></code> and <code class="docutils literal notranslate"><span class="pre">y</span></code> are non-negative. The optimizer will detect that the model is infeasible and return the IIS, which is the set of constraints that cause the infeasibility. We can query whether a constraint is in the IIS by calling <code class="docutils literal notranslate"><span class="pre">get_constraint_attribute</span></code> with the <code class="docutils literal notranslate"><span class="pre">ConstraintAttribute.IIS</span></code> attribute.</p>

‎nonlinear.html‎

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EXIT: Optimal Solution Found.
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EXIT: Optimal Solution Found.

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