درخت:
cc72a3d5d8
11.0
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bedlam
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Heinz Wiesinger
63daf9f79a
All: Support $PRINT_PACKAGE_NAME env var
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3 سال پیش | |
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| .. | ||
| PyAMG.SlackBuild | 63daf9f79a All: Support $PRINT_PACKAGE_NAME env var | 3 سال پیش |
| PyAMG.info | a38b095917 academic/PyAMG: Update HOMEPAGE. | 7 سال پیش |
| README | a37908e881 academic/PyAMG: Fix README. | 4 سال پیش |
| slack-desc | 080ea62570 academic/PyAMG: Added (Algebraic Multigrid Library). | 9 سال پیش |
README
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.
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.