Parallel Colt changelog

0.7.2:	March 25, 2009
	- Added new aggregate() method in 1D dense matrices.
	- Added Modified Residual Norm Steepest Descent (MRNSD) solver.
	- Added Conjugate Gradient for Least Squares (CGLS) solver.
	- Added new solve() method in DoubleQRDecomposition and FloatQRDecomposition.
	- Fixed few bugs in HyBR.
	- Performance improvements in row-compressed sparse matrices.

0.7.1:	February 27, 2009
	- Fixed bug in build.xml causing generation of incomplete source code distribution.
	- Fixed bug in DelegateDoubleMatrix1D and DelagateFloatMatrix1D causing NullPointerException 
	  when toString() method was called.
	- Fixed bug in JCublas.cublasInit() causing NullPointerException in some cases. 
	- Added DiagonalDoubleMatrix2D and DiagonalFloatMatrix2D.  
	- Some optimizations in complex matrices.
	- JTransforms updated to version 2.3.
	- Cosmetic changes.	

0.7:	February 14, 2009
	- Added iterative solvers and preconditioners (adapted from Matrix Toolkits for Java).
	- Added HyBR solver - a Hybrid Bidiagonalization Regularization.
	- Added nonlinear optimization package.  
	- Added JCublas (currently used only for matrix-matrix multiplication). 		
	- Added CCDoubleMatrix2D and CCFloatMatrix2D.
	- Added CCMDoubleMatrix2D and CCMFloatMatrix2D.
	- Added DenseColDoubleMatrix2D and DenseColFloatMatrix2D.
	- Added OpenLongDoubleHashMap and OpenLongFloatHashMap.
	- Added cern.colt.matrix.io (matrix reader/writer, adapted from Matrix Toolkits for Java).
	- Added cern.colt.matrix.tint (matrices holding int elements).
	- Added conversion methods in SparseDoubleMatrix2D and SparseFloatMatrix2D.
	- Added unit tests for iterative solvers.
	- Rewritten unit tests for matrices.		    	
	- JLAPACK replaced by netlib-java.		
	- Internal storage changed in SparseDoubleMatrix1D, SparseDoubleMatrix2D, SparseDoubleMatrix3D,
	  RCMDoubleMatrix2D and their single precision equivalents.
    - From now on, the trigonometric transforms are only supported by
	  DenseDoubleMatrix1D, DenseDoubleMatri2D, DenseDoubleMatrix3D, DenseColDoubleMatrix1D, 
	  DenseColDoubleMatri2D, DenseColDoubleMatrix3D and their single precision equivalents.   
	- JTransforms updated to version 2.2. 
	- Some refactoring and many cosmetic changes.
		
0.6.1:	December 12, 2008
	- JTransforms updated to version 2.1 

0.6:	November 21, 2008
	- A lot of refactoring (now each object of a given type has its own package).
	- JTransforms updated to version 2.0 (no more power-of-two size limitation).
	- Multithreaded implementation of Object matrices.
	- Fixed bug in DComplex.inv() and FComplex.inv().

0.5:	August 24, 2008	
	- Added multithreaded quicksorts for many data types.
	- Added parallel 1D histograms for 2D matrices.
	- Added benchmarks for dense matrices.
	- Added real FFTs and DHTs.
	- Added javadoc distribution.
	- Bzip2 is used to compress tar archives.
	- Fixed bugs causing incorrect computations of the transforms for views.
	- Fixed bug in normalize() causing incorrect results in some specific cases.
	- Refactoring in edu.emory.mathcs.utils cern.colt.matrix.doublealgo, cern.colt.matrix.floatalgo and cern.colt.matrix.objectalgo.
	- Unit tests and benchmarks are in separate directories now.
	- Removed cern.colt.matrix.doublealgo.Transform and cern.colt.matrix.floatalgo.Transform.

0.4:	April 17, 2008
	- More efficient implementation of all operations on "views".
	- More efficient matrix-matrix multiplication algorithms.
	- Fixed several bugs in dense matrices.

0.3:	February 15, 2008
	- Added single precision.

0.2.1:	January 30, 2008
	- Added JLAPACK 0.8.
	- Added SingularValueDecompositionDC.
	
0.2:	January 5, 2008
	- Added JTransforms.
	- Added complex matrices, factories and functions.
	- Added new methods in dense double matrices.
	- Added JUnit tests for dense complex and double matrices.
	- Removed SeqBlas.
	- Fixed bug in aggregate methods.
	- Added multithreaded versions of many methods in dense complex and double matrices.

0.1:	September 5, 2007
	- Initial release.
	- Changes in Colt 1.2:
		- EDU.oswego.cs.dl.util.concurrent replaced by java.util.concurrent.
		- Added multithreaded implementation of quicksort.
		- Added sortIndex() methods.
		- Added multithreaded varsions of all assign() and aggregate() methods for dense matrices.
		- Automatic multithreading - no need to initialize threads in SmpBlas or any other class.