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| author | B. Watson <yalhcru@gmail.com> | 2016-11-14 00:05:05 -0500 |
|---|---|---|
| committer | Willy Sudiarto Raharjo <willysr@slackbuilds.org> | 2016-11-14 16:47:23 +0700 |
| commit | 23d2c351e970ebc7faf2d24a6456caba7d9c35e5 (patch) | |
| tree | c57b31ba1ff1425a8bd621a9b8fd7b0fa50add15 /libraries/lapack/slack-desc | |
| parent | 4886efd6f645bb5ffc2e9b7809f93cfd0485d3db (diff) | |
| download | slackbuilds-23d2c351e970ebc7faf2d24a6456caba7d9c35e5.tar.gz | |
libraries/lapack: Fix slack-desc.
Diffstat (limited to 'libraries/lapack/slack-desc')
| -rw-r--r-- | libraries/lapack/slack-desc | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/libraries/lapack/slack-desc b/libraries/lapack/slack-desc index 281edb2c9d..ece8824029 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. |