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jblas_1.2.0.orig.tar.gz

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/jblas-1.2.0/README

jblas is a matrix library for Java which uses existing high
performance BLAS and LAPACK libraries like ATLAS.

Version 1.2.0, January 7, 2011
Version 1.1.1
Version 1.1, August 16, 2010
Version 1.0.2, February 26, 2010
Version 1.0.1, January 14, 2010
Version 1.0, December 22, 2009
Version 0.3, September 17, 2009
Version 0.2, May 8, 2009
Version 0.1, March 28, 2009

see also the file RELEASE_NOTES


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/jblas-1.2.0/RELEASE_NOTES

Release 1.2.0 - January 7, 2011

- Added Generalized Eigenvalues for symmetric matrices (which you
  need, for example, for Canoncial Correlation Analysis). See
  org.jblas.Eigen.

- Added pure-LAPACK build to Windows 64. Not as nearly as fast as
  ATLAS, but still 50% over pure Java implementation (for example, for
  DGEMM).

- Changed build system to maven. Actually, the build.xml from the ant
 
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/jblas-1.2.0/AUTHORS

Main Developer:

Mikio L. Braun

Additional Programming and Contributions:

Johannes Schaback
Jan Saputra Müller (exponential matrix multiplication, decomposition)
Matthias L. Jugel (packaging)
Nicolas Oury (generalized eigenvectors)

/jblas-1.2.0/BUGS

Known Bugs:

- XERBLA handling under Mac OS X

  Under Mac OS X, xerbla isn't properly handled, lead
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/jblas-1.2.0/COPYING

Copyright (c) 2009, Mikio L. Braun and contributors
All rights reserved.

Redistribution and use in 
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