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authorB. Watson <yalhcru@gmail.com>2016-11-14 00:05:05 -0500
committerWilly Sudiarto Raharjo <willysr@slackbuilds.org>2016-11-14 16:47:23 +0700
commit23d2c351e970ebc7faf2d24a6456caba7d9c35e5 (patch)
treec57b31ba1ff1425a8bd621a9b8fd7b0fa50add15 /libraries/lapack
parent4886efd6f645bb5ffc2e9b7809f93cfd0485d3db (diff)
libraries/lapack: Fix slack-desc.
Diffstat (limited to 'libraries/lapack')
-rw-r--r--libraries/lapack/slack-desc16
1 files changed, 8 insertions, 8 deletions
diff --git a/libraries/lapack/slack-desc b/libraries/lapack/slack-desc
index 281edb2c9def7..ece8824029f5e 100644
--- a/libraries/lapack/slack-desc
+++ b/libraries/lapack/slack-desc
@@ -6,14 +6,14 @@
# customary to leave one space after the ':' except on otherwise blank lines.
|-----handy-ruler------------------------------------------------------|
-lapack: LAPACK (linear algebra routines)
+lapack: lapack (linear algebra routines)
lapack:
lapack: LAPACK provides routines for solving systems of simultaneous linear
lapack: equations, least-squares solutions of linear systems of equations,
-lapack: eigenvalue problems, and singular value problems. The associated matrix
-lapack: factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are
-lapack: also provided, as are related computations such as reordering of the
-lapack: Schur factorizations and estimating condition numbers. Dense and banded
-lapack: matrices are handled, but not general sparse matrices. In all areas,
-lapack: similar functionality is provided for real and complex matrices, in
-lapack: both single and double precision.
+lapack: eigenvalue problems, and singular value problems. The associated
+lapack: matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized
+lapack: Schur) are also provided, as are related computations such as
+lapack: reordering of the Schur factorizations and estimating condition
+lapack: numbers. Dense and banded matrices are handled, but not general
+lapack: sparse matrices. In all areas, similar functionality is provided
+lapack: for real and complex matrices, in both single and double precision.