Download JAR files tagged by decompositions with all dependencies

The Service Cutter engine (https://github.com/ServiceCutter/ServiceCutter) provided as library which can be used in other applications to generate service decompositions.

A comprehensive collection of matrix data structures, linear solvers, least squares methods, eigenvalue, and singular value decompositions.

A comprehensive collection of matrix data structures, linear solvers, least squares methods, eigenvalue, and singular value decompositions. Forked from: https://github.com/fommil/matrix-toolkits-java and added support for eigenvalue computation of general matrices

Matrix data structures, linear solvers, least squares methods, eigenvalue, and singular value decompositions. For larger random dense matrices (above ~ 350 x 350) matrix-matrix multiplication C = A.B is about 50% faster than MTJ.

A rigorous and well-sourced Java mathematics library that extends the Hipparchus mathematics library that includes linear algebra over R^n and C^n (e.g. Matrix, ComplexMatrix, Eigen, complex Schur using the M-shifted large-bulge QR alg., and complex QR and Hessenberg decompositions using Householder transformations), frameworks for and implementations of hyper-dimensional (N-dimensional) geometry (e.g., NOrthotope, NBall, RealNDomain, AbstractNDomain), weighted non-linear least-squares optimization (Levenmerg-Marquardt with geodesic acceleration), non-linear dynamics (e.g., DynamicalSystem, StateTransitionMatrix),and a rich framework of multi-variate, vector- and matrix-valued function definitions (e.g., MultivariateVectorValuedFunction, VectorField, MultivariateMatrixValuedFunction). Whenever a reference is used in the process of development, that source is included in the JavaDoc and, if possible, a hyperlink is provided.