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Diffstat (limited to 'sci-libs/spooles/metadata.xml')
-rw-r--r--sci-libs/spooles/metadata.xml36
1 files changed, 18 insertions, 18 deletions
diff --git a/sci-libs/spooles/metadata.xml b/sci-libs/spooles/metadata.xml
index 24aa1634d185..4f2c1ace32a3 100644
--- a/sci-libs/spooles/metadata.xml
+++ b/sci-libs/spooles/metadata.xml
@@ -1,22 +1,22 @@
<?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">
- SPOOLES is a library for solving sparse real and complex linear
- systems of equations, written in the C language using object
- oriented design. At present, there is the following functionality:
- 1. Compute multiple minimum degree, generalized nested dissection
- and multisection orderings of matrices with symmetric structure.
- 2. Factor and solve square linear systems of equations with
- symmetric structure, with or without pivoting for stability.
- 3. Factor and solve overdetermined full rank systems of equations
- using a multifrontal QR factorization.
- 4. Solve square linear systems using a variety of Krylov iterative
- methods. The preconditioner is a drop tolerance factorization,
- with or without pivoting for stability.
-</longdescription>
+ <maintainer type="project">
+ <email>sci@gentoo.org</email>
+ <name>Gentoo Science Project</name>
+ </maintainer>
+ <longdescription lang="en">
+ SPOOLES is a library for solving sparse real and complex linear
+ systems of equations, written in the C language using object
+ oriented design. At present, there is the following functionality:
+ 1. Compute multiple minimum degree, generalized nested dissection
+ and multisection orderings of matrices with symmetric structure.
+ 2. Factor and solve square linear systems of equations with
+ symmetric structure, with or without pivoting for stability.
+ 3. Factor and solve overdetermined full rank systems of equations
+ using a multifrontal QR factorization.
+ 4. Solve square linear systems using a variety of Krylov iterative
+ methods. The preconditioner is a drop tolerance factorization,
+ with or without pivoting for stability.
+ </longdescription>
</pkgmetadata>