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14.1 > Academic > ldl (2.1.0)

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:

Homepage:
https://www.cise.ufl.edu/research/sparse/ldl/

Source Downloads:
LDL-2.1.0.tar.gz (654e7b8a45a123b7cab7182dd01a2dc9)

Download SlackBuild:
ldl.tar.gz
ldl.tar.gz.asc (FAQ)

(the SlackBuild does not include the source)

Individual Files:
README
autotoolize.diff
ldl.SlackBuild
ldl.info
slack-desc

See our HOWTO for instructions on how to use the contents of this repository.

Access to the repository is available via:
ftp git cgit http rsync

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