LDL is a set of concise routines for factorizing symmetric
positive-definite sparse matrices, with some applicability to symmetric
indefinite matrices. Its primary purpose is to illustrate much of the
basic theory of sparse matrix algorithms in as concise a code as possible,
including an elegant new method of sparse symmetric factorization that
computes the factorization row-by-row but stores it column-by-column.
This package is part of SuiteSparse.
This requires: AMD
Maintained by: Kyle Guinn
Keywords: suitesparse,
ChangeLog: LDL
Homepage:
http://www.cise.ufl.edu/research/sparse/ldl/
Download SlackBuild:
LDL.tar.gz
LDL.tar.gz.asc (FAQ)
(the SlackBuild does not include the source)
Individual Files: |
LDL.SlackBuild |
LDL.info |
README |
autotoolize.diff |
slack-desc |
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