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GitHub Actions build openturns/otrobopt 7957375077
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GitHub Actions committed Feb 19, 2024
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.6"
"version": "3.11.7"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.6"
"version": "3.11.7"
}
},
"nbformat": 4,
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# %%
# Problem statement:
#
#
# .. math::
#
# \begin{aligned}
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# & & & x - 4 \leq 0 \\
# & & & \Theta \thicksim \cU(0, 2)
# \end{aligned}
#
#
# Solution: :math:`\hat{x} = \pi`

# %%
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.6"
"version": "3.11.7"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.6"
"version": "3.11.7"
}
},
"nbformat": 4,
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# %%
# Problem statement:
#
#
# .. math::
#
# \begin{aligned}
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# & & \mathbb{P}_{\cD}(-x_0 + 4x_1 + \Theta -3 \leq 0) \geq 0.9 \\
# & & & \Theta \thicksim \cU(1, 3)
# \end{aligned}
#
#
# Solution: :math:`\hat{x} = [2.2, 0.6]`


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# %%
# Problem statement:
#
#
# .. math::
#
# \begin{aligned}
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# & & \mathbb{P}_{\cD}(x + \Theta - 2 \leq 0) \geq 0.9 \\
# & & & \Theta \thicksim \cE(2)
# \end{aligned}
#
#
# Solution: :math:`\hat{x} = -1`

# %%
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4 changes: 2 additions & 2 deletions otrobopt/master/_sources/auto_examples/plot_example1.rst.txt
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.. code-block:: none
x*= [2.17915,0.620074] J(x*)= [0.198489] iteration= 3
x*= [2.1791,0.620063] J(x*)= [0.19849] iteration= 3
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 0.945 seconds)
**Total running time of the script:** (0 minutes 0.907 seconds)


.. _sphx_glr_download_auto_examples_plot_example1.py:
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.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 0.444 seconds)
**Total running time of the script:** (0 minutes 0.440 seconds)


.. _sphx_glr_download_auto_examples_plot_example2.py:
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.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 0.010 seconds)
**Total running time of the script:** (0 minutes 0.011 seconds)


.. _sphx_glr_download_auto_examples_plot_example4.py:
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Computation times
=================
**00:01.403** total execution time for 4 files **from auto_examples**:
**00:01.362** total execution time for 4 files **from auto_examples**:

.. container::

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- Time
- Mem (MB)
* - :ref:`sphx_glr_auto_examples_plot_example1.py` (``plot_example1.py``)
- 00:00.945
- 00:00.907
- 0.0
* - :ref:`sphx_glr_auto_examples_plot_example2.py` (``plot_example2.py``)
- 00:00.444
- 00:00.440
- 0.0
* - :ref:`sphx_glr_auto_examples_plot_example4.py` (``plot_example4.py``)
- 00:00.010
- 00:00.011
- 0.0
* - :ref:`sphx_glr_auto_examples_plot_example3.py` (``plot_example3.py``)
- 00:00.004
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Computation times
=================
**00:01.403** total execution time for 4 files **from all galleries**:
**00:01.362** total execution time for 4 files **from all galleries**:

.. container::

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- Time
- Mem (MB)
* - :ref:`sphx_glr_auto_examples_plot_example1.py` (``examples/plot_example1.py``)
- 00:00.945
- 00:00.907
- 0.0
* - :ref:`sphx_glr_auto_examples_plot_example2.py` (``examples/plot_example2.py``)
- 00:00.444
- 00:00.440
- 0.0
* - :ref:`sphx_glr_auto_examples_plot_example4.py` (``examples/plot_example4.py``)
- 00:00.010
- 00:00.011
- 0.0
* - :ref:`sphx_glr_auto_examples_plot_example3.py` (``examples/plot_example3.py``)
- 00:00.004
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<section id="computation-times">
<span id="sphx-glr-auto-examples-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading"></a></h1>
<p><strong>00:01.403</strong> total execution time for 4 files <strong>from auto_examples</strong>:</p>
<p><strong>00:01.362</strong> total execution time for 4 files <strong>from auto_examples</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
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</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="plot_example1.html#sphx-glr-auto-examples-plot-example1-py"><span class="std std-ref">Example 1</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_example1.py</span></code>)</p></td>
<td><p>00:00.945</p></td>
<td><p>00:00.907</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="plot_example2.html#sphx-glr-auto-examples-plot-example2-py"><span class="std std-ref">Example 2</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_example2.py</span></code>)</p></td>
<td><p>00:00.444</p></td>
<td><p>00:00.440</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="plot_example4.html#sphx-glr-auto-examples-plot-example4-py"><span class="std std-ref">Example 4</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_example4.py</span></code>)</p></td>
<td><p>00:00.010</p></td>
<td><p>00:00.011</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="plot_example3.html#sphx-glr-auto-examples-plot-example3-py"><span class="std std-ref">Example 3</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_example3.py</span></code>)</p></td>
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</li>
<li><a href="user_manual/_generated/otrobopt.SubsetInverseSamplingResult.html#otrobopt.SubsetInverseSamplingResult.getVarianceEstimate">getVarianceEstimate() (otrobopt.SubsetInverseSamplingResult method)</a>
</li>
<li><a href="user_manual/_generated/otrobopt.RobustOptimizationAlgorithm.html#otrobopt.RobustOptimizationAlgorithm.getVerbose">getVerbose() (otrobopt.RobustOptimizationAlgorithm method)</a>

<ul>
<li><a href="user_manual/_generated/otrobopt.SequentialMonteCarloRobustAlgorithm.html#otrobopt.SequentialMonteCarloRobustAlgorithm.getVerbose">(otrobopt.SequentialMonteCarloRobustAlgorithm method)</a>
</li>
<li><a href="user_manual/_generated/otrobopt.SubsetInverseSampling.html#otrobopt.SubsetInverseSampling.getVerbose">(otrobopt.SubsetInverseSampling method)</a>
</li>
</ul></li>
<li><a href="user_manual/_generated/otrobopt.AggregatedMeasure.html#otrobopt.AggregatedMeasure.getVisibility">getVisibility() (otrobopt.AggregatedMeasure method)</a>

<ul>
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</li>
<li><a href="user_manual/_generated/otrobopt.SubsetInverseSamplingResult.html#otrobopt.SubsetInverseSamplingResult.setVarianceEstimate">setVarianceEstimate() (otrobopt.SubsetInverseSamplingResult method)</a>
</li>
<li><a href="user_manual/_generated/otrobopt.RobustOptimizationAlgorithm.html#otrobopt.RobustOptimizationAlgorithm.setVerbose">setVerbose() (otrobopt.RobustOptimizationAlgorithm method)</a>

<ul>
<li><a href="user_manual/_generated/otrobopt.SequentialMonteCarloRobustAlgorithm.html#otrobopt.SequentialMonteCarloRobustAlgorithm.setVerbose">(otrobopt.SequentialMonteCarloRobustAlgorithm method)</a>
</li>
<li><a href="user_manual/_generated/otrobopt.SubsetInverseSampling.html#otrobopt.SubsetInverseSampling.setVerbose">(otrobopt.SubsetInverseSampling method)</a>
</li>
</ul></li>
<li><a href="user_manual/_generated/otrobopt.AggregatedMeasure.html#otrobopt.AggregatedMeasure.setVisibility">setVisibility() (otrobopt.AggregatedMeasure method)</a>

<ul>
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</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2015-2018 Airbus-EDF-IMACS-Phimeca.
Last updated on Jan 09, 2024.
Last updated on Feb 19, 2024.
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 7.2.6.
</div>
</body>
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</div>
<div class="footer" role="contentinfo">
&#169; Copyright 2015-2018 Airbus-EDF-IMACS-Phimeca.
Last updated on Jan 09, 2024.
Last updated on Feb 19, 2024.
Created using <a href="https://www.sphinx-doc.org/">Sphinx</a> 7.2.6.
</div>
</body>
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<section id="computation-times">
<span id="sphx-glr-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading"></a></h1>
<p><strong>00:01.403</strong> total execution time for 4 files <strong>from all galleries</strong>:</p>
<p><strong>00:01.362</strong> total execution time for 4 files <strong>from all galleries</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
Expand All @@ -62,15 +62,15 @@ <h3>Navigation</h3>
</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="auto_examples/plot_example1.html#sphx-glr-auto-examples-plot-example1-py"><span class="std std-ref">Example 1</span></a> (<code class="docutils literal notranslate"><span class="pre">examples/plot_example1.py</span></code>)</p></td>
<td><p>00:00.945</p></td>
<td><p>00:00.907</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/plot_example2.html#sphx-glr-auto-examples-plot-example2-py"><span class="std std-ref">Example 2</span></a> (<code class="docutils literal notranslate"><span class="pre">examples/plot_example2.py</span></code>)</p></td>
<td><p>00:00.444</p></td>
<td><p>00:00.440</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="auto_examples/plot_example4.html#sphx-glr-auto-examples-plot-example4-py"><span class="std std-ref">Example 4</span></a> (<code class="docutils literal notranslate"><span class="pre">examples/plot_example4.py</span></code>)</p></td>
<td><p>00:00.010</p></td>
<td><p>00:00.011</p></td>
<td><p>0.0</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/plot_example3.html#sphx-glr-auto-examples-plot-example3-py"><span class="std std-ref">Example 3</span></a> (<code class="docutils literal notranslate"><span class="pre">examples/plot_example3.py</span></code>)</p></td>
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<dl class="field-list">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><dl>
<dt><strong>event</strong><span class="classifier"><a class="reference external" href="http://openturns.github.io/openturns/latest/user_manual/_generated/openturns.RandomVector.html#openturns.RandomVector" title="(in OpenTURNS v1.21)"><code class="xref py py-class docutils literal notranslate"><span class="pre">RandomVector</span></code></a></span></dt><dd><p>Event we are computing the probability of.</p>
<dt><strong>event</strong><span class="classifier"><a class="reference external" href="http://openturns.github.io/openturns/latest/user_manual/_generated/openturns.RandomVector.html#openturns.RandomVector" title="(in OpenTURNS v1.22)"><code class="xref py py-class docutils literal notranslate"><span class="pre">RandomVector</span></code></a></span></dt><dd><p>Event we are computing the probability of.</p>
</dd>
<dt><strong>parameterName</strong><span class="classifier">string</span></dt><dd><p>The optimized parameter</p>
</dd>
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