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14.1 > Academic > ldl (2.2.1)

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:
http://faculty.cse.tamu.edu/davis/suitesparse.html

Source Downloads:
SuiteSparse-4.4.4.tar.gz (e0af74476935c9ff6d971df8bb6b82fc)

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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