PyAMG is a library of **Algebraic Multigrid (AMG)** solvers with a
convenient Python interface.
AMG is a multilevel technique for solving large-scale linear systems
with optimal or near-optimal efficiency. Unlike geometric multigrid,
AMG requires little or no geometric information about the underlying
problem and develops a sequence of coarser grids directly from the
input matrix. This feature is especially important for problems
discretized on unstructured meshes and irregular grids.
This requires: nose, python2-numpy, python2-scipy
Maintained by: Alexander Bruy
Keywords: scientific,python,algebraic,solvers
ChangeLog: PyAMG
Homepage:
https://github.com/pyamg/pyamg
Download SlackBuild:
PyAMG.tar.gz
PyAMG.tar.gz.asc (FAQ)
(the SlackBuild does not include the source)
Individual Files: |
PyAMG.SlackBuild |
PyAMG.info |
README |
slack-desc |
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