:orphan:

..
   Copyright 2021 IRT Saint Exupéry, https://www.irt-saintexupery.com

   This work is licensed under the Creative Commons Attribution-ShareAlike 4.0
   International License. To view a copy of this license, visit
   http://creativecommons.org/licenses/by-sa/4.0/ or send a letter to Creative
   Commons, PO Box 1866, Mountain View, CA 94042, USA.

Scalable model
==============

Use a data-driven scalable discipline for benchmark purposes.



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    <div class="sphx-glr-thumbnails">

.. thumbnail-parent-div-open

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    <div class="sphx-glr-thumbcontainer" tooltip="Here is an illustration of the diagonal design of experiments (DOE) implemented by the .DiagonalDOE class and used by the .ScalableDiagonalModel. The idea is to sample the discipline by varying its inputs proportionally on one of the diagonals of its input space.">

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  .. image:: /examples/scalable/images/thumb/sphx_glr_plot_diagonal_doe_thumb.png
    :alt:

  :ref:`sphx_glr_examples_scalable_plot_diagonal_doe.py`

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      <div class="sphx-glr-thumbnail-title">Diagonal design of experiments</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="We would like to solve this MDO problem by means of an MDF formulation.">

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  .. image:: /examples/scalable/images/thumb/sphx_glr_plot_scalable_param_mdf_thumb.png
    :alt:

  :ref:`sphx_glr_examples_scalable_plot_scalable_param_mdf.py`

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      <div class="sphx-glr-thumbnail-title">Parametric scalable MDO problem - MDF</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="Let us consider the SobieskiAerodynamics discipline. We want to build its .ScalableDiscipline counterpart, using a .ScalableDiagonalModel">

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  .. image:: /examples/scalable/images/thumb/sphx_glr_plot_diagonal_thumb.png
    :alt:

  :ref:`sphx_glr_examples_scalable_plot_diagonal.py`

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      <div class="sphx-glr-thumbnail-title">Scalable diagonal discipline</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="We want to solve the Aerostructure MDO problem by means of the .MDF formulation with a higher dimension for the sweep parameter. For that, we use the .ScalableProblem class.">

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  .. image:: /examples/scalable/images/thumb/sphx_glr_plot_problem_thumb.png
    :alt:

  :ref:`sphx_glr_examples_scalable_plot_problem.py`

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      <div class="sphx-glr-thumbnail-title">Scalable problem</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="We want to compare .IDF and .MDF formulations with respect to the problem dimension for the aerostructure problem. For that, we use the .ScalabilityStudy and .PostScalabilityStudy classes.">

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  .. image:: /examples/scalable/images/thumb/sphx_glr_scalable_study_thumb.png
    :alt:

  :ref:`sphx_glr_examples_scalable_scalable_study.py`

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      <div class="sphx-glr-thumbnail-title">Scalable study</div>
    </div>


.. thumbnail-parent-div-close

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    </div>


.. toctree::
   :hidden:

   /examples/scalable/plot_diagonal_doe
   /examples/scalable/plot_scalable_param_mdf
   /examples/scalable/plot_diagonal
   /examples/scalable/plot_problem
   /examples/scalable/scalable_study


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  .. container:: sphx-glr-footer sphx-glr-footer-gallery

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download all examples in Python source code: scalable_python.zip </examples/scalable/scalable_python.zip>`

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download all examples in Jupyter notebooks: scalable_jupyter.zip </examples/scalable/scalable_jupyter.zip>`


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 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_