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.
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243 B
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5 lines
243 B
Text
$NetBSD: distinfo,v 1.1.1.1 2010/05/22 23:11:20 jihbed Exp $
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SHA1 (pyamg-1.0.0.tar.gz) = 83dfe281747b24aabee14b70ccae2105d3e0f67f
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RMD160 (pyamg-1.0.0.tar.gz) = fdfc054e0d0198b69a02ef783dfcd9e0e28b9eba
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Size (pyamg-1.0.0.tar.gz) = 287503 bytes
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