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<?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>
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