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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.

 Name                                                       Last modified      Size  
 Parent Directory                                                                -   
 patches/                                                   10-Jun-2022 19:27    -   
 README                                                     04-Jun-2022 05:21  567   
 SuiteSparse-5.8.1.tar.gz                                   27-May-2022 23:02   56M  
 ldl.SlackBuild                                             11-Mar-2022 06:34  3.3K  
 ldl.info                                                   04-Jun-2022 05:21  349   
 slack-desc                                                 04-Jun-2022 05:21  730   

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