SlackBuilds Repository

15.0 > Academic > PyAMG (2.1.0)

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-scipy

Maintained by: Alexander Bruy
Keywords: scientific,python,algebraic,solvers
ChangeLog: PyAMG

Homepage:
https://github.com/pyamg/pyamg

Source Downloads:
official_pyamg_source-2.1.0.tar.gz (b04419a4e751d5333bc97fb1786e9e09)

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

Validated for Slackware 15.0

See our HOWTO for instructions on how to use the contents of this repository.

Access to the repository is available via:
ftp git cgit http rsync

© 2006-2024 SlackBuilds.org Project. All rights reserved.
Slackware® is a registered trademark of Patrick Volkerding
Linux® is a registered trademark of Linus Torvalds