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| author |   Sebastien Fabbro <bicatali@gentoo.org> | 2011-07-26 19:09:17 +0000 |
|---|---|---|
| committer | Sebastien Fabbro <bicatali@gentoo.org> | 2011-07-26 19:09:17 +0000 |
| commit | 3b7aa7eb0c939f180f88a285d2970fd176f2e235 (patch) | |
| tree | a818a0fe46804ed156250d3f7c2cb971dad04081 /dev-python/pyamg/metadata.xml | |
| parent | Enable optional support for graphite via graphite2 package. (diff) | |
| download | historical-3b7aa7eb0c939f180f88a285d2970fd176f2e235.tar.gz historical-3b7aa7eb0c939f180f88a285d2970fd176f2e235.tar.bz2 historical-3b7aa7eb0c939f180f88a285d2970fd176f2e235.zip | |
Initial import to the main tree. Fixed tests, added doc.
Package-Manager: portage-2.1.10.7/cvs/Linux x86_64
Diffstat (limited to 'dev-python/pyamg/metadata.xml')
| -rw-r--r-- | dev-python/pyamg/metadata.xml | 21 |
1 files changed, 21 insertions, 0 deletions
diff --git a/dev-python/pyamg/metadata.xml b/dev-python/pyamg/metadata.xml new file mode 100644 index 000000000000..26e721d94308 --- /dev/null +++ b/dev-python/pyamg/metadata.xml @@ -0,0 +1,21 @@ +<?xml version="1.0" encoding="UTF-8"?> +<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd"> +<pkgmetadata> +<herd>sci</herd> +<longdescription lang="en"> + 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. + PyAMG features implementations of: + * Ruge-Stuben (RS) or Classical AMG + * AMG based on Smoothed Aggregation (SA) + and experimental support for: + * Adaptive Smoothed Aggregation (αSA) + * Compatible Relaxation (CR) + The predominant portion of PyAMG is written in Python with a smaller + amount of supporting C++ code for performance critical operations. +</longdescription> +</pkgmetadata> |