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

.. only:: html

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

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

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

.. _sphx_glr_auto_functional_modeling_vectorial_functions_plot_composed_function.py:


Create a composed function
==========================

.. GENERATED FROM PYTHON SOURCE LINES 6-8

In this example we are going to create a composed function :math:`f\circ g`


.. GENERATED FROM PYTHON SOURCE LINES 10-14

.. code-block:: Python

    import openturns as ot

    ot.Log.Show(ot.Log.NONE)








.. GENERATED FROM PYTHON SOURCE LINES 15-16

assume f, g functions

.. GENERATED FROM PYTHON SOURCE LINES 16-19

.. code-block:: Python

    g = ot.SymbolicFunction(["x1", "x2"], ["x1 + x2", "3 * x1 * x2"])
    f = ot.SymbolicFunction(["x1", "x2"], ["2 * x1 - x2"])








.. GENERATED FROM PYTHON SOURCE LINES 20-21

create the composed function

.. GENERATED FROM PYTHON SOURCE LINES 21-23

.. code-block:: Python

    function = ot.ComposedFunction(f, g)








.. GENERATED FROM PYTHON SOURCE LINES 24-25

evaluate the function

.. GENERATED FROM PYTHON SOURCE LINES 25-28

.. code-block:: Python

    x = [3.0, 4.0]
    y = function(x)
    print("x=", x, "y=", y)




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

 .. code-block:: none

    x= [3.0, 4.0] y= [-22]





.. _sphx_glr_download_auto_functional_modeling_vectorial_functions_plot_composed_function.py:

.. only:: html

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

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

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

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

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