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authorSébastien Fabbro <bicatali@gentoo.org>2016-12-14 05:16:57 +0000
committerSébastien Fabbro <bicatali@gentoo.org>2016-12-19 23:51:11 +0000
commitb60411fd461200f71e9195fc0de81b8dfe25e1c9 (patch)
treed994d8851b1ad62e908c9f1966a24aebf0286042 /sci-libs/superlu
parentsci-libs/superlu: version bump with patches (diff)
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sci-libs/superlu: added upstream remote-id
Package-Manager: portage-2.3.3
Diffstat (limited to 'sci-libs/superlu')
-rw-r--r--sci-libs/superlu/metadata.xml34
1 files changed, 19 insertions, 15 deletions
diff --git a/sci-libs/superlu/metadata.xml b/sci-libs/superlu/metadata.xml
index b1926bde6b53..01512c58f866 100644
--- a/sci-libs/superlu/metadata.xml
+++ b/sci-libs/superlu/metadata.xml
@@ -6,19 +6,23 @@
<name>Gentoo Science Project</name>
</maintainer>
<longdescription lang="en">
- SuperLU is a general purpose library for the direct solution of large,
- sparse, nonsymmetric systems of linear equations on high performance
- machines. The library is written in C and is callable from either C or
- Fortran. The library routines will perform an LU decomposition with
- partial pivoting and triangular system solves through forward and back
- substitution. The LU factorization routines can handle non-square
- matrices but the triangular solves are performed only for square
- matrices. The matrix columns may be preordered (before factorization)
- either through library or user supplied routines. This preordering for
- sparsity is completely separate from the factorization. Working
- precision iterative refinement subroutines are provided for improved
- backward stability. Routines are also provided to equilibrate the
- system, estimate the condition number, calculate the relative backward
- error, and estimate error bounds for the refined solutions.
-</longdescription>
+ SuperLU is a general purpose library for the direct solution of large,
+ sparse, nonsymmetric systems of linear equations on high performance
+ machines. The library is written in C and is callable from either C or
+ Fortran. The library routines will perform an LU decomposition with
+ partial pivoting and triangular system solves through forward and back
+ substitution. The LU factorization routines can handle non-square
+ matrices but the triangular solves are performed only for square
+ matrices. The matrix columns may be preordered (before factorization)
+ either through library or user supplied routines. This preordering for
+ sparsity is completely separate from the factorization. Working
+ precision iterative refinement subroutines are provided for improved
+ backward stability. Routines are also provided to equilibrate the
+ system, estimate the condition number, calculate the relative backward
+ error, and estimate error bounds for the refined solutions.
+ </longdescription>
+ <upstream>
+ <remote-id type="github">xiaoyeli/superlu</remote-id>
+ </upstream>
+
</pkgmetadata>