You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 
Kyle Guinn e4ef2b80fd academic/ldl: BUILD bump for SuiteSparse 4.5.5. 8 years ago
..
patches academic/ldl: BUILD bump for SuiteSparse 4.5.5. 8 years ago
README academic/ldl: Renamed and moved from libraries. 12 years ago
ldl.SlackBuild academic/ldl: BUILD bump for SuiteSparse 4.5.5. 8 years ago
ldl.info academic/ldl: BUILD bump for SuiteSparse 4.5.5. 8 years ago
slack-desc academic/ldl: Fix slack-desc. 9 years ago

README

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.