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| author |   David Seifert <soap@gentoo.org> | 2017-11-25 17:51:00 +0100 |
|---|---|---|
| committer | David Seifert <soap@gentoo.org> | 2017-11-25 18:37:49 +0100 |
| commit | 9efd7af466cb6d9bec8c4ecc7e957e67d6ae2dcd (patch) | |
| tree | f4c199613f66dad3607493b88feadcca7fd6ce02 /sci-libs | |
| parent | sci-libs/klu: [QA] Consistent whitespace in metadata.xml (diff) | |
| download | gentoo-9efd7af466cb6d9bec8c4ecc7e957e67d6ae2dcd.tar.gz gentoo-9efd7af466cb6d9bec8c4ecc7e957e67d6ae2dcd.tar.bz2 gentoo-9efd7af466cb6d9bec8c4ecc7e957e67d6ae2dcd.zip | |
sci-libs/ldl: [QA] Consistent whitespace in metadata.xml
Diffstat (limited to 'sci-libs')
| -rw-r--r-- | sci-libs/ldl/metadata.xml | 30 |
1 files changed, 15 insertions, 15 deletions
diff --git a/sci-libs/ldl/metadata.xml b/sci-libs/ldl/metadata.xml index 776f7e760b66..dc5e74837c9f 100644 --- a/sci-libs/ldl/metadata.xml +++ b/sci-libs/ldl/metadata.xml @@ -1,19 +1,19 @@ <?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd"> <pkgmetadata> -<maintainer type="project"> - <email>sci@gentoo.org</email> - <name>Gentoo Science Project</name> -</maintainer> -<longdescription lang="en"> - 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. The entire symbolic and numeric factorization - consists of a total of only 49 lines of code. The package is written - in C, and includes a MATLAB interface. -</longdescription> + <maintainer type="project"> + <email>sci@gentoo.org</email> + <name>Gentoo Science Project</name> + </maintainer> + <longdescription lang="en"> + 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. The entire symbolic and numeric factorization + consists of a total of only 49 lines of code. The package is written + in C, and includes a MATLAB interface. + </longdescription> </pkgmetadata> |