slackbuilds/academic/PyAMG
Heinz Wiesinger 63daf9f79a All: Support $PRINT_PACKAGE_NAME env var
Signed-off-by: Heinz Wiesinger <pprkut@slackbuilds.org>
2021-07-17 21:55:09 +02:00
..
PyAMG.SlackBuild All: Support $PRINT_PACKAGE_NAME env var 2021-07-17 21:55:09 +02:00
PyAMG.info academic/PyAMG: Update HOMEPAGE. 2017-06-06 07:56:33 +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.