slackbuilds/academic/PyAMG
Alexander Bruy 72a20a0b0e
academic/PyAMG: Fix deps.
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
2022-11-12 22:33:11 +07:00
..
PyAMG.SlackBuild academic/PyAMG: Change i486 to i586 2022-06-07 02:23:02 -04:00
PyAMG.info academic/PyAMG: Fix deps. 2022-11-12 22:33:11 +07:00
README academic/PyAMG: Fix README. 2020-10-17 09:36:37 +07:00
slack-desc academic/PyAMG: Added (Algebraic Multigrid Library). 2015-03-15 23:32:08 +07:00

README

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.