slackbuilds_ponce/academic/PyAMG/README
B. Watson a37908e881
academic/PyAMG: Fix README.
Signed-off-by: B. Watson <yalhcru@gmail.com>

Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
2020-10-17 09:36:37 +07:00

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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.