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libjama-java

a basic linear algebra library for Java

Provides fundamental operations of numerical linear algebra. The package provides five matrix decompositions. These decompositions are accessed by the Matrix class to compute solutions of simultaneous linear equations, determinants, inverses and other matrix functions.

The five decompositions are: * Cholesky Decomposition of symmetric, positive definite matrices * LU Decomposition (Gaussian elimination) of rectangular matrices * QR Decomposition of rectangular matrices * Eigenvalue Decomposition of both symmetric and nonsymmetric square matrices * Singular Value Decomposition of rectangular matrices

Homepage:
Package version:1.0.2-4
Architecture:all
Distribution:Debian
Filename:libjama-java_1.0.2-4_all.deb

/usr/share/doc/libjama-java/changelog.Debian.gz

jama (1.0.2-4) unstable; urgency=low

  * Added myself to uploaders.
  * Removed dependency on default-jdk. (Closes: #590461)
  * Updated Standards-Version to 3.9.1.
  * Added Vcs-* and Homepage fields.
  * Moved javadoc and examples to a separate package.
    - To get the javadoc, install libjama-java-doc.
  * Registered javadoc with docbase.
  * Changed to 3.0 (quilt) source format.

 -- Melvin 
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/usr/share/doc/libjama-java/changelog.gz

2005-07-13 Bruce Miller
	* Version 1.0.2 Released.
	
2005-07-12 Bruce Miller
	* Although SVD sometimes fails on cases m < n,
	the test code, apparently successfully, invokes
	SVD to compute rank on an m<n matrix. Deferring
	proposal to signal error on m < n, for now.
	Possible fix to generalize SVD to come later.

2005-03-04 Roldan Pozo	
	* Updated CholeskyDecomposition to fix problem with scaling
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/usr/share/doc/libjama-java/copyright

This package was debianized by Wolfgang Baer <wbaer@gmx.de> on
Thu, 27 Jan 2005 10:38:29 +0100.

It was downloaded from <http://math.nist.gov/javanumerics/jama/>

Copyright:

This software is a cooperative product of The MathWorks and the
National Institute of Standards and Technology (NIST) which has
been released to the public domain. Neither The MathWorks nor NIST
assumes any responsibility wha
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