From 3b7aa7eb0c939f180f88a285d2970fd176f2e235 Mon Sep 17 00:00:00 2001 From: Sebastien Fabbro Date: Tue, 26 Jul 2011 19:09:17 +0000 Subject: Initial import to the main tree. Fixed tests, added doc. Package-Manager: portage-2.1.10.7/cvs/Linux x86_64 --- dev-python/pyamg/metadata.xml | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) create mode 100644 dev-python/pyamg/metadata.xml (limited to 'dev-python/pyamg/metadata.xml') 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 @@ + + + +sci + + 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. + + -- cgit v1.2.3-65-gdbad