PyAMG - Algebraic Multigrid Solver for Python
PyAMG is a library of Algebraic Multigrid (AMG) solvers with a convenient Python interface. PyAMG features implementations of several popular AMG methods including Classical (Ruge-Stuben) AMG, AMG based on Smoothed Aggregation, and Adaptive Smoothed Aggregation (αSA). The predominant portion of PyAMG is written in Python and leverages SciPy. A smaller amount of supporting C++ code is used for performance critical operations. See the PyAMG website for more detail
Code:
PyAMG - Algebraic Multigrid Solver for Python
PyAMG is a library of Algebraic Multigrid (AMG) solvers with a convenient Python interface. PyAMG features implementations of several popular AMG methods including Classical (Ruge-Stuben) AMG, AMG based on Smoothed Aggregation, and Adaptive Smoothed Aggregation (αSA). The predominant portion of PyAMG is written in Python and leverages SciPy. A smaller amount of supporting C++ code is used for performance critical operations. See the PyAMG website for more detail
Tips:
How to use ctags with Matlab? put the following in your
$HOME/.ctags file:
--langdef=matlab
--langmap=matlab:.m
--regex-matlab=/^function[ \t]*[a-zA-Z0-9_]+[ \t]*=[ \t]*([a-zA-Z0-9_]+)/\1/f,function/
--regex-matlab=/^function[ \t]*([a-zA-Z0-9_]+)[^=]*$/\1/f,function/
--regex-matlab=/^function[ \t]*\[.*\][ \t]*=[ \t]*([a-zA-Z0-9_]+)/\1/f,function/
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© Luke Olson
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Last Modified: Mon 11 Feb 2008 04:21:06 PM CST
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