Path to this page:
./
wip/py-pyamg,
Algebraic multigrid solvers in Python
Branch: CURRENT,
Version: 1.0.0,
Package name: py312-pyamg-1.0.0,
Maintainer: jihbed.researchAMG 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.
Required to run:[
math/py-numpy] [
lang/python37]
Required to build:[
pkgtools/cwrappers]
Master sites:
RMD160: fdfc054e0d0198b69a02ef783dfcd9e0e28b9eba
Filesize: 280.765 KB
Version history: (Expand)
- (2024-09-19) Package has been reborn
- (2024-09-19) Updated to version: py312-pyamg-1.0.0
- (2024-09-15) Package deleted from pkgsrc
- (2023-02-13) Updated to version: py310-pyamg-1.0.0
- (2023-02-13) Package has been reborn
- (2021-10-08) Updated to version: py39-pyamg-1.0.0
CVS history: (Expand)
2012-10-07 15:57:25 by Aleksej Saushev | Files touched by this commit (211) |
Log message:
Drop superfluous PKG_DESTDIR_SUPPORT, "user-destdir" is default these days.
Mark packages that don't or might probably not have staged installation.
|
2010-05-23 01:11:21 by Kamel Derouiche | Files touched by this commit (4) | |
Log message:
Import py26-pyamg-1.0.0 as wip/py-pyamg.
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.
|