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* Documentation tweaks.
Mostly minor typos and grammar fixes.
In the installation instructions, removed a duplication f2py entry.
* One more tiny typo in docs.
* Remove mention of Jupyter notebook.
As the notebook is auto-included in the documentation immediately after.
* In multigrid docs, complete intro to link to numerical_exercises notes
Copy file name to clipboardExpand all lines: docs/source/multigrid_basics.rst
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@@ -4,7 +4,7 @@ Multigrid solvers
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pyro solves elliptic problems (like Laplace's equation or Poisson's
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equation) through multigrid. This accelerates the convergence of
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simple relaxation by moving the solution down and up through a series
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of grids. Chapter
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of grids. Chapter 9 of the `pdf notes<http://bender.astro.sunysb.edu/hydro_by_example/CompHydroTutorial.pdf>`_ gives an introduction to solving elliptic equations, including multigrid.
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There are three solvers:
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@@ -17,10 +17,10 @@ There are three solvers:
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* The class :func:`general_MG.GeneralMG2d <multigrid.general_MG.GeneralMG2d>` solves a general elliptic
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equation of the form :math:`\alpha\phi + \nabla\cdot ( \beta
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\nabla\phi) + \gamma\cdot\nabla\phi = f`. This class inherits
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the core functionality from ``MG.CellCenterMG2d``.
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the core functionality from ``MG.CellCenterMG2d``.
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This solver is the only one to support inhomogeneous boundary
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conditions.
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conditions.
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We simply use V-cycles in our implementation, and restrict ourselves
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to square grids with zoning a power of 2.
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The ``mg_test_simple.py`` script solves a Poisson equation with a
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known analytic solution. This particular example comes from the text
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`A Multigrid Tutorial, 2nd Ed.`. The example is:
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`A Multigrid Tutorial, 2nd Ed.`, by Briggs. The example is:
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