 Version 1.2.0 (Sep 10, 2004) 
 Removed com.isml.math.* package (If you need Complex numbers, download and use Jakarta Commons Math instead)
 Documentation is now auto generated
 Fixed Algebra.normInfinity(DoubleMatrix1D x) (T.J.Hunt@open.ac.uk)
 Upgraded package util.concurrent from version 1.3.2 to 1.3.4 (package name edu.oswego... becomes EDU.oswego...)

Version 1.1.0 (Oct 29, 2003) 
 This version breaks the 1.9 Gflop/s barrier
on JDK ibm1.4.1, RedHat 9.0, 2x IntelXeon@2.8 GHz.
 Redesigned documentation and web site
 Moved build system to ANT
 Upgraded package util.concurrent from version 1.3.1 to 1.3.2, which is now a separate jar
 Upgraded package corejava to corejava20021116, which is now licensed under LGPL.
 Removed packages ViolinStrings, edu.cornell.lassp.houle.RngPack, jal.*
 Colt now requires jdk 1.2.x
 Fixed covariance bug in cern.jet.stat.Descriptive (scott white "scottw@eml.cc")
 Fixed bug in cern.jet.random.Normal.nextDouble in combination with setState() (nick.collier@verizon.net)
 Fixed bug in cern.jet.stat.quantile.EquiDepthHistogram (Brett Neumeier random@rnd.cx)
 RCDoubleMatrix2D was unnecessarily restricted in shape (double)columns*rows
<= Integer.MAX_VALUE). Is now only limited by nonZeroes <= Integer.MAX_VALUE

Version 1.0.3 (Nov 22, 2002) 
 This version breaks the 1.3 Gflop barrier
on JDK ibm1.4.1, RedHat 8.0, 2x Pentium4@2.2 GHz.
 Upgraded package util.concurrent from version 1.3.0 to 1.3.1
 Fixed bug in cern.jet.random.Uniform.nextInt (jan.cheyns@intec.rug.ac.be)
 Fixed small bug in cern.colt.Partitioning and cern.colt.matrix.doublealgo.Partitioning
 Fixed Poisson.staticNextInt()
 Fixed infinite loop in Logarithmic.nextDouble() for some parameter combinations
 Fix for CholeskyDecomposition.solve (MG Ferreira "mgf@webmail.co.za")
 cern.jet.stat.quantile.QuantileFinderFactory should ignore N if if known_N
is false.
 class PrintFormat is unreliable  do not use it. matrix print formatting
is now reverted back to use corejava.Format instead.
 MersenneTwister had a small
problem, which is now fixed with Matsumotos code from 2002/1/26.
 cern.jet.stat.Probability.studentT and cern.jet.random.StudentT were only
defined for values >= 0
 cern.colt.bitvector.BitVector.replaceFromToWith(int from, int to, boolean
value) treated leading partial unit incorrectly (Olivier Janssens "oj@adhoc.be")

Version 1.0.2 (Nov 08, 2001) 
 Added GenericSorting.mergeSort for "stable" inplace sorting of
arbitrary shaped data
 Upgraded the ViolinStrings package to V1.0. Michael Schmeling reports that
two split methods which were contributed by Eric Jablow have been added and
some minor documentation bugs have been fixed.
 Upgraded package util.concurrent from version 1.2.5 to 1.3.0
 Added 2d matrix versions of daxpy(), dcopy(), dscal(), dswap() to Blas,
SeqBlas, SmpBlas (Martin.Schimschak@dresdnerbank.com)
 MersenneTwister now also allows zero seed (Martin.Schimschak@dresdnerbank.com)
 Fix for serious SparseDoubleMatrix2D and Open<type>Map performance degradation
 RCDoubleMatrix2D.assign(otherMatrix) got faster
 RCDoubleMatrix2D.assign(double) got faster
 DenseDoubleMatrix{1,2,3}D.assign(double) got faster
 DenseDoubleMatrix2D.zMult got a bit faster for very large problem sizes
 Algebra.normInfinity(DoubleMatrix1D x) and Algebra.normInfinity(DoubleMatrix2D
A) were incorrect (Martin.Schimschak@dresdnerbank.com)
 SeqBlas.dger() and SeqBlas.dtrmv() were incorrect (Martin.Schimschak@dresdnerbank.com)
 ObjectArrayList.toList() threw IndexOutOfBoundsException
 RCDoubleMatrix2D was unnecessarily restricted in shape (double)columns*rows
<= Integer.MAX_VALUE). Is now only limited by nonZeroes <= Integer.MAX_VALUE
 cern.colt.matrix.linalg.Property.equals(..) gave wrong results when comparing
exotic special cases NaN, inf, inf.
 cern.colt.matrix.doublealgo.Sorting was not NaN aware. In compliance with
the JDK sorts, it now swaps NaNs to the end.
 Property.isIdentity bug fix
 Polynomial.p1evl javadoc was misleading
 Added matrix mergesorts. Matrix quicksorts alone were not enough, because
matrices are frequently sorted successively by multiple columns. In order
to preserve the relative order of equal elements a socalled "stable"
sort was needed. Mergesort is such a thing.
To enable this, some minor changes were necessary. Please update your
source code as follows
Old style 
New style 
cern.colt.matrix.doublealgo.Sorting.quickSort(...) 
cern.colt.matrix.doublealgo.Sorting.quickSort.sort(...)
or
cern.colt.matrix.doublealgo.Sorting.mergeSort.sort(...)

 matrix.viewSorted(...) methods now use mergesort instead of quicksort.

Version 1.0.1 (May 15, 2000) 
 New blocked algorithm improved performance of outofcache matrixmatrix
and matrixvector mult (Blas.dgemm and dgemv).
 Added parallel implementations of assign(function) to the BLAS (Basic Linear
Algebra System). See cern.colt.matrix.linalg.
 Fixed a bad bug in GenericPermuting. This one caused incorrect results to
LU solving.
 SmpBlas.dgemm and dgemv threw exceptions when asking for transpositions.

Version 1.0.0 
 Powerful, extendible and performant histogram abstractions, improving ways
for the statistical study of experimental data.
 Matrix functionality and performance improvements
 Sequential and parallel implementations of the BLAS (Basic Linear Algebra
System). See cern.colt.matrix.linalg.
 Sparse row compressed matrix implementation  RCDoubleMatrix2D
 Major performance improvements for many matrix operations, in particular
optimizations detecting function objects for scaling (+,,*,/, ...), delegating
to optimized internal implementations
 For performance added generalized matrixmatrix and matrixvector mult:
C = alpha*A*B + beta*C and z = alpha*A*y + beta*z with or
without transpositions
 Added the long awaited histogram packages hep.aida , hep.aida.ref
and hep.aida.bin. The stable bins formerly found in cern.jet.histo
have been moved to hep.aida.bin and cern.jet.histo has been dropped.
 Added histogram and OLAP cube operators to cern.colt.matrix.doublealgo.Statistic.
 Added sampling views to cern.colt.matrix.doublealgo.Statistic
 Efficient matrix quicksort using precomputation; added to cern.colt.matrix.doublealgo.Sorting
 Stencil methods for finite difference operations in cern.colt.matrix.doublealgo.Stencil
 DoubleMatrix1D.getNonZeros(IntArrayList indexList, DoubleArrayList valueList,
int maxCardinality) had a bug, hence Algebra.inverse sometimes produced wrong
answers.
 QRDecomposition
 matrix.viewStrides() sometimes gave wrong shape
 matrix.zMult(...) sometimes threw ArrayIndexOutOfBoundsExceptions
 DynamicBin1D.max() sometimes gave wrong answer infinity
 Distance matrix in cern.colt.matrix.doublealgo.Statistic now works on user
defined distance functions
 Moved cern.colt.matrix.DoubleTransform to cern.colt.matrix.doublealgo.Transform
(sorry)

Version 1.0 Beta4 
 Renamed to lower case: EDU.oswego.cs.dl.util.concurrent > edu.oswego.cs.dl.util.concurrent (resolves collisions of multiple edu packages)
 cern.colt.matrix.linalg.Algebra.trace() now returns a double.
 Improved build process (makefile)
 package cern.colt.matrix  bug fixes and performance improvements
 Stronger separation of matrix interfaces and matrix implementations:
 the implementations of matrix data structures moved from package cern.colt.matrix
to package cern.colt.matrix.imp
 matrix factories moved from cern.colt.matrix.algo to cern.colt.matrix
 Formatter objects  Matrix formatting much extended and now also possible
using java.lang.Double.toString(double)
 Moved cern.jet.math.Unit and cern.jet.math.PhysicalConstants to cern.clhep
 Uniform.nextDouble() now returns a value between min and max, as specified
upon instance construction
 package cern.colt.matrix.linalg  Linear Algebra
 Additional convenience methods in matrix factories
 cern.colt.matrix.DoubleTransform: Additional convenience methods for elementbyelement
transformations
 Introduced Object matrices
 A few additional methods in DynamicBin1D related to sampling, bootstrapping,
correlation
 Performance log of compute intensive matrix computations
 Now also redistributing util.concurrent framework  Standardized,
efficient utility classes commonly encountered in concurrent programming
 package cern.clhep  Starting to port CLHEP (C++)

