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

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_examples_post_process_save_from_opt_problem.py>`
        to download the full example code

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

.. _sphx_glr_examples_post_process_save_from_opt_problem.py:


Save an optimization problem for post-processing
================================================

.. GENERATED FROM PYTHON SOURCE LINES 25-33

.. code-block:: Python


    from __future__ import annotations

    from gemseo import create_design_space
    from gemseo import execute_algo
    from gemseo.algos.opt_problem import OptimizationProblem
    from gemseo.core.mdofunctions.mdo_function import MDOFunction


.. GENERATED FROM PYTHON SOURCE LINES 34-36

We consider a minimization problem over the interval :math:`[0,1]`
of the :math:`f(x)=x^2` objective function:

.. GENERATED FROM PYTHON SOURCE LINES 36-45

.. code-block:: Python


    objective = MDOFunction(lambda x: x**2, "f", input_names=["x"], output_names=["y"])

    design_space = create_design_space()
    design_space.add_variable("x", l_b=0.0, u_b=1.0)

    optimization_problem = OptimizationProblem(design_space)
    optimization_problem.objective = objective


.. GENERATED FROM PYTHON SOURCE LINES 46-47

We solve this optimization problem with the gradient-free algorithm COBYLA:

.. GENERATED FROM PYTHON SOURCE LINES 47-49

.. code-block:: Python

    execute_algo(optimization_problem, "NLOPT_COBYLA", max_iter=10)


.. GENERATED FROM PYTHON SOURCE LINES 50-52

Then,
we save the results to an HDF5 file for future post-processing:

.. GENERATED FROM PYTHON SOURCE LINES 52-54

.. code-block:: Python

    optimization_problem.to_hdf("my_results.hdf")


.. GENERATED FROM PYTHON SOURCE LINES 55-56

.. seealso:: :ref:`sphx_glr_examples_post_process_post_process_file.py`.


.. _sphx_glr_download_examples_post_process_save_from_opt_problem.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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