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.
AMD is an optional dependency and will be used if found. It is
primarily used for this package's test suite.
This requires: suitesparseconfig
Maintained by: Kyle Guinn
Keywords:
ChangeLog: ldl
Homepage:
http://faculty.cse.tamu.edu/davis/suitesparse.html
Download SlackBuild:
ldl.tar.gz
ldl.tar.gz.asc (FAQ)
(the SlackBuild does not include the source)
Individual Files: |
README |
ldl.SlackBuild |
ldl.info |
patches |
slack-desc |
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