:orphan: Inner Products ============== Numerical solutions to differential equations frequently make use of the **weak formulation**. That is, we take the inner product of each PDE with some test function. There are many different ways to evaluate inner products numerically; i.e. trapezoidal rule, midpoint rule, or higher-order approximations. A simple method for evaluating inner products on a numerical grid is to apply the midpoint rule; which is used by the *discretize* package. Here, we demonstrate how to approximate various classes of inner products numerically. If this is known, the user will be capable of properly discretizing any term in a problem specific PDE. .. raw:: html
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Basic Inner Products
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Constitutive Relations
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Differential Operators
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Advanced Examples
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.. toctree:: :hidden: /tutorials/inner_products/1_basic /tutorials/inner_products/2_physical_properties /tutorials/inner_products/3_calculus /tutorials/inner_products/4_advanced .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-gallery .. container:: sphx-glr-download sphx-glr-download-python :download:`Download all examples in Python source code: inner_products_python.zip ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download all examples in Jupyter notebooks: inner_products_jupyter.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_