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author | Serban Udrea <S.Udrea@gsi.de> | 2016-08-26 07:48:28 +0700 |
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committer | David Spencer <idlemoor@slackbuilds.org> | 2016-08-28 00:22:40 +0100 |
commit | 78609d74237f107971b576f054bff16fccb82024 (patch) | |
tree | eb9b6953068c30c7c74386291a7e5a50bec793e3 /libraries/lapack-atlas/slack-desc | |
parent | 2917ce175f25b822d872c38a08c41f558b59260b (diff) |
libraries/lapack-atlas: Updated for version 3.6.1.
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
Diffstat (limited to 'libraries/lapack-atlas/slack-desc')
-rw-r--r-- | libraries/lapack-atlas/slack-desc | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/libraries/lapack-atlas/slack-desc b/libraries/lapack-atlas/slack-desc index 8e65b6fe49256..3a02105141200 100644 --- a/libraries/lapack-atlas/slack-desc +++ b/libraries/lapack-atlas/slack-desc @@ -6,14 +6,14 @@ # customary to leave one space after the ':' except on otherwise blank lines. |-----handy-ruler------------------------------------------------------| -lapack-atlas: LAPACK-ATLAS (LAPACK customized for build against ATLAS) +lapack-atlas: LAPACK-ATLAS (LAPACK sources for build against ATLAS) lapack-atlas: lapack-atlas: LAPACK provides routines for solving systems of simultaneous linear lapack-atlas: equations, least-squares solutions of linear systems of equations, -lapack-atlas: eigenvalue problems, and singular value problems. The associated matrix -lapack-atlas: factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are -lapack-atlas: also provided, as are related computations such as reordering of the -lapack-atlas: Schur factorizations and estimating condition numbers. Dense and banded -lapack-atlas: matrices are handled, but not general sparse matrices. In all areas, -lapack-atlas: similar functionality is provided for real and complex matrices, in -lapack-atlas: both single and double precision. +lapack-atlas: eigenvalue problems, and singular value problems. The associated +lapack-atlas: matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized +lapack-atlas: Schur) are also provided, as are related computations such as +lapack-atlas: reordering of the Schur factorizations and estimating condition +lapack-atlas: numbers. Dense and banded matrices are handled, but not general sparse +lapack-atlas: matrices. In all areas, similar functionality is provided for real and +lapack-atlas: complex matrices, in both single and double precision. |