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| author |   Alexander Bruy | 2015-03-15 17:32:08 +0100 |
|---|---|---|
| committer |   Willy Sudiarto Raharjo | 2015-03-15 17:32:08 +0100 |
| commit | 080ea62570a079482d342f7c8a9a36e17d7230d5 (patch) | |
| tree | 569d7de02b440e3134e7b4130fba7cd3b0cc102a /academic/PyAMG/README | |
| parent | cd28d017d369051af86d980ee8ebe4d26d8a9a73 (diff) | |
| download | slackbuilds-080ea62570a079482d342f7c8a9a36e17d7230d5.tar.gz | |
academic/PyAMG: Added (Algebraic Multigrid Library).
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
Diffstat (limited to 'academic/PyAMG/README')
| -rw-r--r-- | academic/PyAMG/README | 11 |
1 files changed, 11 insertions, 0 deletions
diff --git a/academic/PyAMG/README b/academic/PyAMG/README new file mode 100644 index 0000000000..ffdbc77d70 --- /dev/null +++ b/academic/PyAMG/README @@ -0,0 +1,11 @@ +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. |