Projects

NPack

An implementation of linear algebra numerical structures and methods for the CLR. NPack is unique in that it uses generics for matrix element definitions, and a set of matrix operations via an interface, allowing a CLR-based operations engine as well as the opportunity to use GPGPU-based operation ... [More] engines. NPack was initially ported from Java Matrix Package (JAMA) by the US National Institute of Standards and Technology (which was a Java reinterpretation of LINPACK). [Less]

Jama

Jama - Java Matrix OSGi version with tycho build and additional features

jama-benchmark

BP jama benchmark matlab / c++ / c# / java

jmatharray

JMathArray: basic math engineering in JavaJMathArray provides classes with static methods for basic math engineering in Java. Random number generations is based on RngPack, linear algebra is based on Jama. List of static methods applicable on int and double arrays (double[][]): merge, insert ... [More] , delete rows and columns : org.math.array.DoubleArray, org.math.array.IntegerArray simple linear algebra: LU, QR, EigenValues, Cholesky, SingularValues (based on JAMA package): org.math.array.LinearAlgebra simple statistics: mean, variance, covariance, histograms : org.math.array.StatisticSample some random generators (based on RnGPack): normal, lognormal, triangular, chi square, weibull, ... : org.math.array.StatisticSample Example Java codeimport static org.math.array.LinearAlgebra.*; ... // random 4 x 4 matrix + Id double[][] A = plus(random(4, 4), identity(4)); // Eigen values Decomposition : A = V * D * V^-1 EigenvalueDecomposition eig = eigen(A); double[][] V = eig.getV(); double[][] D = eig.getD();JMathArray syntax is stable. Only new features may be added, and current syntax will stay available. Use itput jmatharray.jar in your java classpath add a static import statement in your class: import static org.math.array.DoubleArray.*; import static org.math.array.LinearAlgebra.*; import static org.math.array.StatisticSample.*; [Less]