Locally Optimal Block Preconditioned Conjugate Gradient

Version 4.18 (435 KB) von Andrew Knyazev
LOBPCG solves Hermitian partial generalized eigenvalue problems using preconditioning, as well as PCA
4.8
(6)
5,9K Downloads
Aktualisiert 3. Dez 2021
Lizenz auf GitHub anzeigen

Source : https://github.com/lobpcg/blopex/ in blopex_tools/matlab/lobpcg/lobpcg.m

This main function LOBPCG is a version of the preconditioned conjugate gradient method (Algorithm 5.1) described in A. V. Knyazev, Toward the Optimal Preconditioned Eigensolver: Locally Optimal Block Preconditioned Conjugate Gradient Method, SIAM Journal on Scientific Computing 23 (2001), no. 2, pp. 517-541. http://dx.doi.org/10.1137/S1064827500366124
A C-version of this code is a part of the https://github.com/lobpcg/blopex
package and is available, e.g., in SLEPc and HYPRE. A scipy version is https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.linalg.lobpcg.html
Tested in MATLAB 6.5-7.13-R2019a and available Octave 3.2.3-3.4.2.

Zitieren als

Andrew Knyazev (2024). Locally Optimal Block Preconditioned Conjugate Gradient (https://github.com/lobpcg/blopex), GitHub. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2019a
Kompatibel mit R2007b und späteren Versionen
Plattform-Kompatibilität
Windows macOS Linux
Kategorien
Mehr zu Dimensionality Reduction and Feature Extraction finden Sie in Help Center und MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

blopex_matlab/driver

blopex_matlab/driver/test_complex

blopex_matlab/driver/test_real

blopex_matlab/matlab_interface/m_files

blopex_tools/matlab/laplacian

blopex_tools/matlab/lobpcg

blopex_tools/matlab/matlab2hypre

Versionen, die den GitHub-Standardzweig verwenden, können nicht heruntergeladen werden

Version Veröffentlicht Versionshinweise
4.18

Revision 4.18 removes the check for the size of operatorA apparently not working for function handles
4.17

Revision 4.17 adds support for single precision
4.16

Revision 4.16 adds support for distributed or codistributed arrays available in MATLAB BigData toolbox, e.g.,:

A = codistributed(diag(1:100)); B = codistributed(diag(101:200));
[blockVectorX,lambda]=lobpcg(randn(100,2),A,1e-5,5,2)
4.15

updated description on MathWorks, fixed Project Website link
4.14

Linearly depended directions 1-time restart, not failure:

1) Orthogonalization of directions P moved to a different spot.
2) Linearly depended directions P now result in a 1-time restart, where the whole P is dropped once, not failure as before
1.6

Connected to GitHub
1.5

added a conversion to a toolbox
A minor update. Functions can now be called using also function handles. Updated comments and examples.
added a toolbox format
1.4.0.0

Editorial changes to make the code Octave-compatible.

1.1.0.0

License update to free software (BSD). Comments update.
1.0.0.0

minor update to remove mlint messages
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.