.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "examples/api/plot_mda.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        Click :ref:`here <sphx_glr_download_examples_api_plot_mda.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_examples_api_plot_mda.py:


MDA
===

In this example, we will discover the different functions of the API
related to MDAs, which are the |g|' objects dedicated to the
feasibility of the multidisciplinary coupling. All classes
implementing MDAs inherit from :class:`.MDA` which is an abstract class.

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.. code-block:: default


    from __future__ import absolute_import, division, print_function, unicode_literals

    from future import standard_library

    from gemseo.api import (
        configure_logger,
        create_discipline,
        create_mda,
        get_available_mdas,
        get_mda_options_schema,
    )

    configure_logger()

    standard_library.install_aliases()








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Get available MDA
-----------------

The :meth:`~gemseo.api.get_available_mdas` function returns the list
of MDAs available in |g| or in external modules

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.. code-block:: default

    print(get_available_mdas())





.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    ['GSNewtonMDA', 'MDAChain', 'MDAGaussSeidel', 'MDAJacobi', 'MDANewtonRaphson', 'MDAQuasiNewton', 'MDARoot', 'MDASequential', 'SobieskiMDAGaussSeidel', 'SobieskiMDAJacobi']




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Get MDA options schema
----------------------
For a given MDA algorithm, e.g. :code:`"MDAGaussSeidel"`,
we can get the options; e.g.

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.. code-block:: default

    print(get_mda_options_schema("MDAGaussSeidel"))





.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    {'type': 'object', 'properties': {'name': {'description': 'the name of the chain\n:type name: str\n'}, 'max_mda_iter': {'type': 'integer', 'description': 'maximum number of iterations\n:type max_mda_iter: int\n'}, 'grammar_type': {'type': 'string', 'description': 'the type of grammar to use for IO declaration\neither JSON_GRAMMAR_TYPE or SIMPLE_GRAMMAR_TYPE\n:type grammar_type: str\n'}, 'tolerance': {'type': 'number', 'description': 'tolerance of the iterative direct coupling solver,\nnorm of the current residuals divided by initial residuals norm\nshall be lower than the tolerance to stop iterating\n:type tolerance: float\n'}, 'linear_solver_tolerance': {'type': 'number', 'description': 'Tolerance of the linear solver\nin the adjoint equation\n:type linear_solver_tolerance: float\n'}, 'warm_start': {'type': 'boolean', 'description': 'if True, the second iteration and ongoing\nstart from the previous coupling solution\n:type warm_start: bool\n'}, 'use_lu_fact': {'type': 'boolean', 'description': 'if True, when using adjoint/forward\ndifferenciation, store a LU factorization of the matrix\nto solve faster multiple RHS problem\n:type use_lu_fact: bool\n'}, 'norm0': {'description': 'reference value of the norm of the residual to compute\nthe decrease stop criteria.\nIterations stops when norm(residual)/norm0<tolerance\n:type norm0: float'}}, 'required': ['grammar_type', 'linear_solver_tolerance', 'max_mda_iter', 'tolerance', 'use_lu_fact', 'warm_start']}




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Create a MDA
------------
The API function :meth:`~gemseo.api.create_mda` can be used
to create a scenario:

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.. code-block:: default

    disciplines = create_discipline(["Sellar1", "Sellar2"])
    mda = create_mda("MDAGaussSeidel", disciplines)
    output_data = mda.execute()
    print(output_data)




.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    {'x_local': array([0.+0.j]), 'x_shared': array([1.+0.j, 0.+0.j]), 'y_1': array([1.79999995+0.j]), 'y_0': array([0.79999995+0.j])}





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

   **Total running time of the script:** ( 0 minutes  0.018 seconds)


.. _sphx_glr_download_examples_api_plot_mda.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



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

     :download:`Download Python source code: plot_mda.py <plot_mda.py>`



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

     :download:`Download Jupyter notebook: plot_mda.ipynb <plot_mda.ipynb>`


.. only:: html

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

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