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Free and open source scientific computing library for your Mac Parallel Colt is a free and open source, multithreaded version of Colt - a library for high performance scientific computing in Java. Parallel Colt contains efficient algorithms for data analysis, linear algebra, multi-dimensional arrays, Fourier transforms, statistics and histogramming Here are some key features of "Parallel Colt": · Templated Lists and Maps · Dynamically resizing lists holding objects or primitive data types such as int, double, etc. Operations on primitive arrays and algorithms on Colt lists can freely be mixed at zero copy overhead. Automatically growing and shrinking maps holding objects or primitive data types such as int, double, etc. Space efficient high performance BitVectors and BitMatrices. · Templated Multi-dimensional matrices · Dense and sparse fixed sized (non-resizable) 1, 2, and 3-dimensional matrices holding objects or primitive data types such as int, double, etc; Also known as multi-dimensional arrays or Data Cubes. · Linear Algebra · Standard matrix operations and decompositions. LU, QR, Cholesky, Eigenvalue, Singular value. · Histogramming · Compact, extensible, modular and performant histogramming functionality. It offers the histogramming features of HTL and HBOOK. · Mathematics · Tools for basic and advanced mathematics: Arithmetics and Algebra, Polynomials and Chebyshev series, Bessel and Airy functions, Constants and Units, Trigonometric functions, etc. · Statistics · Tools for basic and advanced statistics: Estimators, Gamma functions, Beta functions, Probabilities, Special integrals, etc. · Random Numbers and Random Sampling · Strong yet quick. Partly a port of CLHEP. Requirements: · Java What's New in This Release: · Removed source code of CSparseJ, JTransforms, JPlasma and Optimization. · Added jar files of CSparseJ, JTransforms, JPlasma and Optimization. · Renamed jar files of JARPACK, JUnit and Netlib-Java. · JUnit updated to version 4.7.

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