Colt - Changelog
Author: Wolfgang Hoschek

Colt Sea Firefish | Version 1.2.0 - Last published Sep 9, 2004

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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 ibm-1.4.1, 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 corejava-2002-11-16, 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 ibm-1.4.1, 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" in-place 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@dresdner-bank.com) MersenneTwister now also allows zero seed (Martin.Schimschak@dresdner-bank.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@dresdner-bank.com) SeqBlas.dger() and SeqBlas.dtrmv() were incorrect (Martin.Schimschak@dresdner-bank.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 so-called "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 out-of-cache matrix-matrix and matrix-vector 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 matrix-matrix and matrix-vector 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 element-by-element 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++)

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