forked from p94628173/idrlnet
31 lines
1.6 KiB
ReStructuredText
31 lines
1.6 KiB
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Tutorial
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========
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To make full use of IDRLnet. We strongly suggest following the following examples:
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1. :ref:`Simple Poisson <Solving Simple Poisson Equation>`. This example introduces the primary usage of IDRLnet. Including creating sampling domains, neural
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networks, partial differential equations, training, monitoring, and inference.
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2. :ref:`Euler-Bernoulli beam <Euler–Bernoulli beam>`. The example introduces how to use symbols to construct a PDE node efficiently.
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3. :ref:`Burgers' Equation <Burgers' Equation>`. The case presents how to include ``time`` in the sampling domains.
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4. :ref:`Allen-Cahn Equation <Allen-Cahn Equation>`. The example introduces the representation of periodic boundary conditions.
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``Receiver`` acting as ``callbacks`` are also introduced, including implementing user-defined algorithms and post-processing during the training.
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5. :ref:`Inverse wave equation <Inverse Wave Equation>`. The example introduces how to discover unknown parameters in PDEs.
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6. :ref:`Parameterized poisson equation <Parameterized Poisson>`. The example introduces how to train a surrogate with parameters.
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7. :ref:`Variational Minimization <Variational Minimization>`. The example introduces how to solve variational minimization problems.
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8. :ref:`Volterra integral differential equation <Volterra Integral Differential Equation>`. The example introduces the way to solve IDEs.
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.. toctree::
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:maxdepth: 2
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1_simple_poisson
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2_euler_beam
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3_burgers_equation
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4_allen_cahn
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5_inverse_wave_equation
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6_parameterized_poisson
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7_minimal_surface
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8_volterra_ide
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