https://sotirov-bg.net/slackpack
SlackPack - Latest from Netlib
https://sotirov-bg.net/slackpack/img/slackpack
2022-07-01T17:33:16Z
Georgi D. Sotirov
https://sotirov-bg.net/~gsotirov/
gdsotirov@gmail.com
Copyright © 2005-2023 Georgi D. Sotirov
SlackPack
https://sotirov-bg.net/slackpack/pack.cgi?id=4880
lapack-3.10.1-x86_64-1 for Slackware 15.0
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: lapack<br>
<strong>Version</strong>: 3.10.1<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel x86-64<br>
<strong>Format</strong>: Slackware 15.0</p>
<p><strong>Description</strong>: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=4880">Choose mirror</a></p>
2022-07-01T17:33:16Z
2022-07-01T17:33:16Z
https://sotirov-bg.net/slackpack/pack.cgi?id=4879
lapack-3.10.1-i586-1 for Slackware 15.0
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: lapack<br>
<strong>Version</strong>: 3.10.1<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel i586<br>
<strong>Format</strong>: Slackware 15.0</p>
<p><strong>Description</strong>: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=4879">Choose mirror</a></p>
2022-07-01T17:27:48Z
2022-07-01T17:27:48Z
https://sotirov-bg.net/slackpack/pack.cgi?id=4878
blas-3.10.0-x86_64-1 for Slackware 15.0
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: blas<br>
<strong>Version</strong>: 3.10.0<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel x86-64<br>
<strong>Format</strong>: Slackware 15.0</p>
<p><strong>Description</strong>: BLAS is a set of efficient routines for most of the basic vector and matrix operations. They are widely used as the basis for other high quality linear algebra software (e.g. lapack and linpack). This implementation is the Fortran 77 reference implementation found at netlib.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=4878">Choose mirror</a></p>
2022-07-01T16:47:12Z
2022-07-01T16:47:12Z
https://sotirov-bg.net/slackpack/pack.cgi?id=4877
blas-3.10.0-i586-1 for Slackware 15.0
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: blas<br>
<strong>Version</strong>: 3.10.0<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel i586<br>
<strong>Format</strong>: Slackware 15.0</p>
<p><strong>Description</strong>: BLAS is a set of efficient routines for most of the basic vector and matrix operations. They are widely used as the basis for other high quality linear algebra software (e.g. lapack and linpack). This implementation is the Fortran 77 reference implementation found at netlib.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=4877">Choose mirror</a></p>
2022-07-01T16:43:16Z
2022-07-01T16:43:16Z
https://sotirov-bg.net/slackpack/pack.cgi?id=4003
lapack-3.7.1-x86_64-1 for Slackware 14.2
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: lapack<br>
<strong>Version</strong>: 3.7.1<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel x86-64<br>
<strong>Format</strong>: Slackware 14.2</p>
<p><strong>Description</strong>: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=4003">Choose mirror</a></p>
2017-06-29T18:24:25Z
2017-06-29T18:24:25Z
https://sotirov-bg.net/slackpack/pack.cgi?id=4002
lapack-3.7.1-i586-1 for Slackware 14.2
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: lapack<br>
<strong>Version</strong>: 3.7.1<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel i586<br>
<strong>Format</strong>: Slackware 14.2</p>
<p><strong>Description</strong>: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=4002">Choose mirror</a></p>
2017-06-29T18:19:24Z
2017-06-29T18:19:24Z
https://sotirov-bg.net/slackpack/pack.cgi?id=3633
lapack-3.7.0-x86_64-1 for Slackware 14.2
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: lapack<br>
<strong>Version</strong>: 3.7.0<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel x86-64<br>
<strong>Format</strong>: Slackware 14.2</p>
<p><strong>Description</strong>: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=3633">Choose mirror</a></p>
2016-12-24T12:46:09Z
2016-12-24T12:46:09Z
https://sotirov-bg.net/slackpack/pack.cgi?id=3632
lapack-3.7.0-i586-1 for Slackware 14.2
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: lapack<br>
<strong>Version</strong>: 3.7.0<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel i586<br>
<strong>Format</strong>: Slackware 14.2</p>
<p><strong>Description</strong>: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=3632">Choose mirror</a></p>
2016-12-24T12:43:25Z
2016-12-24T12:43:25Z
https://sotirov-bg.net/slackpack/pack.cgi?id=3217
lapack-3.6.1-x86_64-1 for Slackware 14.2
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: lapack<br>
<strong>Version</strong>: 3.6.1<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel x86-64<br>
<strong>Format</strong>: Slackware 14.2</p>
<p><strong>Description</strong>: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=3217">Choose mirror</a></p>
2016-09-23T18:52:12Z
2016-09-23T18:52:12Z
https://sotirov-bg.net/slackpack/pack.cgi?id=3216
lapack-3.6.1-i586-1 for Slackware 14.2
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: lapack<br>
<strong>Version</strong>: 3.6.1<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel i586<br>
<strong>Format</strong>: Slackware 14.2</p>
<p><strong>Description</strong>: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=3216">Choose mirror</a></p>
2016-09-23T18:51:01Z
2016-09-23T18:51:01Z
https://sotirov-bg.net/slackpack/pack.cgi?id=3215
blas-3.6.0-x86_64-1 for Slackware 14.2
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: blas<br>
<strong>Version</strong>: 3.6.0<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel x86-64<br>
<strong>Format</strong>: Slackware 14.2</p>
<p><strong>Description</strong>: BLAS is a set of efficient routines for most of the basic vector and matrix operations. They are widely used as the basis for other high quality linear algebra software (e.g. lapack and linpack). This implementation is the Fortran 77 reference implementation found at netlib.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=3215">Choose mirror</a></p>
2016-09-23T18:48:58Z
2016-09-23T18:48:58Z
https://sotirov-bg.net/slackpack/pack.cgi?id=3214
blas-3.6.0-i586-1 for Slackware 14.2
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: blas<br>
<strong>Version</strong>: 3.6.0<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel i586<br>
<strong>Format</strong>: Slackware 14.2</p>
<p><strong>Description</strong>: BLAS is a set of efficient routines for most of the basic vector and matrix operations. They are widely used as the basis for other high quality linear algebra software (e.g. lapack and linpack). This implementation is the Fortran 77 reference implementation found at netlib.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=3214">Choose mirror</a></p>
2016-09-23T18:43:46Z
2016-09-23T18:43:46Z
https://sotirov-bg.net/slackpack/pack.cgi?id=1756
lapack-3.5.0-x86_64-1 for Slackware 14.1
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: lapack<br>
<strong>Version</strong>: 3.5.0<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel x86-64<br>
<strong>Format</strong>: Slackware 14.1</p>
<p><strong>Description</strong>: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=1756">Choose mirror</a></p>
2014-03-10T20:24:52Z
2014-03-10T20:24:52Z
https://sotirov-bg.net/slackpack/pack.cgi?id=1754
lapack-3.5.0-i486-1 for Slackware 14.1
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: lapack<br>
<strong>Version</strong>: 3.5.0<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel i486<br>
<strong>Format</strong>: Slackware 14.1</p>
<p><strong>Description</strong>: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=1754">Choose mirror</a></p>
2014-03-10T20:17:47Z
2014-03-10T20:17:47Z
https://sotirov-bg.net/slackpack/pack.cgi?id=3497
lapack-3.4.2-x86_64-2 for Slackware 14.0
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: lapack<br>
<strong>Version</strong>: 3.4.2<br>
<strong>Build</strong>: 2<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel x86-64<br>
<strong>Format</strong>: Slackware 14.0</p>
<p><strong>Description</strong>: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=3497">Choose mirror</a></p>
2016-11-06T13:51:14Z
2016-11-06T13:51:14Z
https://sotirov-bg.net/slackpack/pack.cgi?id=3496
lapack-3.4.2-i486-2 for Slackware 14.0
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: lapack<br>
<strong>Version</strong>: 3.4.2<br>
<strong>Build</strong>: 2<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel i486<br>
<strong>Format</strong>: Slackware 14.0</p>
<p><strong>Description</strong>: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=3496">Choose mirror</a></p>
2016-11-06T13:48:10Z
2016-11-06T13:48:10Z
https://sotirov-bg.net/slackpack/pack.cgi?id=1739
lapack-3.4.2-x86_64-1 for Slackware 13.37
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: lapack<br>
<strong>Version</strong>: 3.4.2<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel x86-64<br>
<strong>Format</strong>: Slackware 13.37</p>
<p><strong>Description</strong>: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=1739">Choose mirror</a></p>
2014-03-09T20:10:56Z
2014-03-09T20:10:56Z
https://sotirov-bg.net/slackpack/pack.cgi?id=1738
lapack-3.4.2-i486-1 for Slackware 13.37
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: lapack<br>
<strong>Version</strong>: 3.4.2<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel i486<br>
<strong>Format</strong>: Slackware 13.37</p>
<p><strong>Description</strong>: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=1738">Choose mirror</a></p>
2014-03-09T20:09:02Z
2014-03-09T20:09:02Z
https://sotirov-bg.net/slackpack/pack.cgi?id=1240
lapack-3.4.0-x86_64-1 for Slackware 13.37
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: lapack<br>
<strong>Version</strong>: 3.4.0<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel x86-64<br>
<strong>Format</strong>: Slackware 13.37</p>
<p><strong>Description</strong>: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=1240">Choose mirror</a></p>
2012-03-04T10:56:57Z
2012-03-04T10:56:57Z
https://sotirov-bg.net/slackpack/pack.cgi?id=1239
lapack-3.4.0-i486-1 for Slackware 13.37
Georgi Sotirov
gdsotirov@dir.bg
<p><strong>Name</strong>: lapack<br>
<strong>Version</strong>: 3.4.0<br>
<strong>Build</strong>: 1<br>
<strong>Security fix</strong>: No</p>
<p><strong>License</strong>: BSD</p>
<p><strong>Architecture</strong>: Intel i486<br>
<strong>Format</strong>: Slackware 13.37</p>
<p><strong>Description</strong>: LAPACK is written in Fortran90 and provides routines for solvingsystems of simultaneous linear equations, least-squares solutionsof linear systems of equations, eigenvalue problems, and singularvalue problems. The associated matrix factorizations (LU,Cholesky, QR, SVD, Schur, generalized Schur) are also provided,as are related computations such as reordering of the Schurfactorizations and estimating condition numbers. Dense and bandedmatrices are handled, but not general sparse matrices. In allareas, similar functionality is provided for real and complexmatrices, in both single and double precision.</p>
<p><strong>Download</strong>: <a href="https://sotirov-bg.net/slackpack/download.cgi?id=1239">Choose mirror</a></p>
2012-03-04T10:55:48Z
2012-03-04T10:55:48Z