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| author | B. Watson <yalhcru@gmail.com> | 2020-10-12 15:08:37 -0400 |
|---|---|---|
| committer | Willy Sudiarto Raharjo <willysr@slackbuilds.org> | 2020-10-17 09:37:34 +0700 |
| commit | 09580bf3627122e349f4933c73d714257427f5ed (patch) | |
| tree | 2cdc3e073d3ce4e97bb2680f20fa9d5b517148bc /academic | |
| parent | a4398d10d22b1f78e1f659e29b1971c71c00c94f (diff) | |
academic/ldl: Fix README.
Signed-off-by: B. Watson <yalhcru@gmail.com>
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
Diffstat (limited to 'academic')
| -rw-r--r-- | academic/ldl/README | 13 |
1 files changed, 7 insertions, 6 deletions
diff --git a/academic/ldl/README b/academic/ldl/README index b3628fc188d4..ce58f1983d8a 100644 --- a/academic/ldl/README +++ b/academic/ldl/README @@ -1,11 +1,12 @@ 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. +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. +AMD is an optional dependency and will be used if found. It is +primarily used for this package's test suite. |