This script is for Slackware 14.1 only and may be outdated.

SlackBuilds Repository

14.1 > Academic > PyAMG (2.1.0)

PyAMG

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: scipy, numpy, nose

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

Homepage:
http://pyamg.org/

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 14.1

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