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Releases: Reference-LAPACK/lapack

Official Release for LAPACK 3.12.0

24 Nov 20:45
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This material is based upon work supported by the National Science Foundation and the Department of Energy.
LAPACK is a software package provided by Univ. of Tennessee, Univ. of California, Berkeley, Univ. of Colorado Denver and NAG Ltd..

The following notes are also at http://netlib.org/lapack/lapack-3.12.0.html

Dynamic Mode Decomposition (DMD)

xGEDMD computes the Dynamic Mode Decomposition (DMD) for a pair of data snapshot matrices. For the input matrices X and Y such that Y = A*X with an unaccessible matrix A, xGEDMD computes a certain number of Ritz pairs of A using the standard Rayleigh-Ritz extraction from a subspace of range(X) that is determined using the leading left singular vectors of X. Optionally, xGEDMD returns the residuals of the computed Ritz pairs, the information needed for a refinement of the Ritz vectors, or the eigenvectors of the Exact DMD.
xGEDMDQ does the same as xGEDMD but uses a QR factorization based compression of the data.

  • See: Z. Drmac: A LAPACK implementation of the Dynamic Mode Decomposition I. Technical report. AIMDyn Inc. and LAPACK Working Note 298.
  • Developed and coded by Zlatko Drmac, Faculty of Science, University of Zagreb. In cooperation with AIMdyn Inc., Santa Barbara, CA. And supported by (1) DARPA SBIR project "Koopman Operator-Based Forecasting for Nonstationary Processes from Near-Term, Limited Observational Data", Contract No: W31P4Q-21-C-0007; (2) DARPA PAI project "Physics-Informed Machine Learning Methodologies", Contract No: HR0011-18-9-0033; (3) DARPA MoDyL project "A Data-Driven, Operator-Theoretic Framework for Space-Time Analysis of Process Dynamics", Contract No: HR0011-16-C-0116. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the DARPA SBIR Program Office. Distribution Statement A: Approved for Public Release, Distribution Unlimited. Cleared by DARPA on September 29, 2022
  • Adding Dynamic Mode Decomposition (DMD) into LAPACK by @dbielich in #736
  • Update C prototypes and LAPACKE interfaces for ?GEDMD/?GEDMDQ by @martin-frbg in #880
  • Update of the documentation to the pull request "Truncated QR with Pivoting #891" by @scr2016 in #941
  • make the DMD comments in the header Doxygen compliant by @langou in #936

Truncated QR with Column Pivoting

The routine computes a truncated (rank K) or full rank Householder QR factorization with column pivoting of a real M-by-N matrix A using Level 3 BLAS.
The truncation criteria (i.e. when to stop the factorization) can be any of the following: (1) The input parameter KMAX, the maximum number of columns KMAX to factorize; (2) The input parameter ABSTOL, the absolute tolerance for the maximum column 2-norm of the residual matrix R22(K); (3) The input parameter RELTOL, the tolerance for the maximum column 2-norm matrix of the residual matrix R22(K) divided by the maximum column 2-norm of the original matrix A, which is equal to abs(R(1,1)). The algorithm stops when any of these conditions is first satisfied, otherwise the whole matrix A is factorized.

Reciprocal Scaling of complex vectors

[C/Z]RSCL multiplies an n-element complex vector x by the complex scalar 1/a. This is done without overflow or underflow as long as the final result x/a does not overflow or underflow.

Improvements in the 64-bit API

  • Fix CBLAS tests with 64-bit indexing by @svillemot in #767
  • Add Index-64 API as extended API with _64 suffix for CBLAS by @mkrainiuk in #846
  • Revert "Add Index-64 API as extended API with _64 suffix for CBLAS" by @langou in #856
  • Add Index-64 API as extended API with _64 suffix for CBLAS by @mkrainiuk in #857
  • Create DOCS/CBLAS.md by @mkrainiuk in #853
  • Reduce number of macros in fortran compilation line for BLAS _64 API by @mkrainiuk in #861

Bug fixes and other changes

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Releases from 1.0 to 3.1.1

30 Oct 19:52
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This contains releases/versions of LAPACK previous to the Git history, only for purposes of historical reference or comparison.

Warning

Be aware that known bugs exist in these tar files, and have been fixed in subsequent versions! As a result, these tar files should never be used for a current LAPACK installation! You can find the latest release of LAPACK at https://github.com/Reference-LAPACK/lapack/releases

Releases attached:

  • VERSION 1.0 : February 29, 1992
  • VERSION 1.0a : June 30, 1992
  • VERSION 1.0b : October 31, 1992
  • VERSION 1.1 : March 31, 1993
  • VERSION 2.0 : September 30, 1994
  • VERSION 3.0 + update : May 31, 2000
  • VERSION 3.1 : November 2006
    Release Notes
  • VERSION 3.1.1 : February 2007
    Release Notes

Note

The assets named "Source code" relate to the first commit in the Git history of LAPACK.

Official Release for LAPACK 3.11.0

11 Nov 18:24
7866626
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This material is based upon work supported by the National Science Foundation and the Department of Energy.
LAPACK is a software package provided by Univ. of Tennessee, Univ. of California, Berkeley, Univ. of Colorado Denver and NAG Ltd..

The following notes are also at http://netlib.org/lapack/lapack-3.11.0.html

Normwise criterion for infinite eigenvalues in the QZ algorithm by @thijssteel

The normwise criterion is more robust at detecting infinite eigenvalues than the elementwise criterion (PR #698). See also https://arxiv.org/abs/2208.02057.

level-3 BLAS solvers for the triangular system and triangular Sylvester equation by @angsch

The triangular Sylvester equation has been recognized to be prone to overflow. For that purpose, *TRSYL utilizes a scaling factor to represent the solution as $(s^{-1} X)$ and solve the scaled equation $AX + XB = s C$. Due to the scaling factor, there is some flexibility in the representation of the solution. The proposed level-3 BLAS version, *TRSYL3, computes the scaling factors based on the upper bounds of blocks to enable level-3 BLAS. The scaling is typically slightly more aggressive so that an alternatively scaled final solution is computed. This is no problem as long as the scaling factor does not get flushed to zero (PR #651). The same upper bound calculation was used to write the level-3 BLAS solver for the triangular system, *LATRS3.

Givens rotations generated with less accumulation error by @weslleyspereira

New algorithms for computing Givens rotations in complex arithmetic that reduce the accumulation errors for computing each of the outputs, c, s, r. The new algorithms are, on average, more accurate than both the algorithms from LAPACK 3.9.1 and LAPACK 3.10.0 (PR #631). See also https://arxiv.org/abs/2211.04010.

Faster algorithms for Least Squares by @scr2016

The new algorithms, *GELST, are similar to *GELS. *GELST avoids computing triangular blocks twice as in *GELS, which means *GELST runs faster (PR #739).

Improvements on the building system and the Continuous Testing framework

  • Regression test for illegal modification of Y in *GEMV by @matcross in #622.
  • Test the Fortran intrinsic ABS and complex divisions and report failures during build by @weslleyspereira in #623.
  • Appveyor is working in the Continuous Testing once more by @martin-frbg in #627.
  • More tests and fixes for type mismatches by @angsch in #675.
  • Solve build issues with IBM XLF by @friedc in #677.
  • Explicit type casts to INT by @angsch in #684.
  • Fix an out-of-bounds write in the tests by @angsch in #685.
  • Adding support for NAG Fortran compiler (nagfor) by @ACSimon33 in #686.
  • Fix time check flag propagation and default value by @ACSimon33 in #696.
  • Fixed format warnings in 64 bit integer builds by @ACSimon33 in #700.
  • Explicit type casts and more rigorous CI by @weslleyspereira in #703.
  • Fix type mismatches in function calls of testing code by @mjacobse in #706.
  • Fix lower triangular band matrix generation by @angsch in #728.

Other improvements

  • Improves the computation of norms in {S,D}ORBDB6 and {C,Z}UNBDB6 by @christoph-conrads in #647.
  • Uses a Newton step to compute the initial guess for ETA in {S,D}LAED4 to reduce the number of iterations by @weslleyspereira in #655.
  • Return immediately when scaling with one by @angsch in #674.
  • Rearrange the application of the Householder reflectors in *LAQR5, which lowers the instruction count when FMA is available by @angsch in #681.
  • Add {C,Z}ROTG, {CS,ZD}ROT, {S,D}CABS1 to CBLAS by @angsch in #721.
  • Add *LANGB to LAPACKE by @ACSimon33 in #725.
  • NaN check for trapezoidal matrices on LAPACKE by @ACSimon33 in #738 and #742.

Bug fixes

  • Fix LAPACKE_*tpmqrt_work for row-major matrices by @weslleyspereira in #540.
  • Fix leading dimension check in LAPACKE's *geesv[x] and *gges[x] by @angsch in #665.
  • Fix the left-looking variant of GEQRF by @weslleyspereira in #690.
  • Fix workspace query for *SYEVD and *HEEVD routines by @neil-lindquist in #691.
  • Fix behavior of SCALE in *LATBS and *LATRS, and avoids NaN generation if entries in CNORM exceed the overflow threshold by @angsch in #712.

New Contributors

Full Changelog: v3.10.1...v3.11

Thanks to all our contributors!
Thanks to the Mathworks team: Penny Anderson, Mary Ann Freeman, Bobby Cheng, Pat Quillen, Christine Tobler, Heiko Weichelt.

The LAPACK team

Official Release for LAPACK 3.10.1

12 Apr 21:18
32b062a
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Release notes on http://netlib.org/lapack/lapack-3.10.1.html

Thank you to all our contributors
The LAPACK team

Official Release for LAPACK 3.10.0

28 Jun 20:04
aa631b4
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Release notes on http://netlib.org/lapack/lapack-3.10.0.html

Thank you to all our contributors
The LAPACK team

Official Release for LAPACK 3.9.1

25 Mar 19:40
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Release notes on http://netlib.org/lapack/lapack-3.9.1.html

Thank you to all our contributors
The LAPACK team

Official Release for LAPACK 3.9.0

21 Nov 08:02
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Release notes on http://netlib.org/lapack/lapack-3.9.0.html

Thank you to all our contributors
The LAPACK team

Official Release for LAPACK 3.8.0

13 Nov 04:57
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Merge pull request #206 from julielangou/master

Updating Version number on files for 3.8.0

v3.7.1

17 Jun 22:54
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Official Release for LAPACK 3.7.1

v3.7.0

24 Dec 08:29
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