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(from the scilab homepage...) Scilab is a scientific software package for numerical computations providing a powerful open computing environment for engineering and scientific applications. Scilab is an open source software. Since 1994 it has been distributed freely along with the source code
Eigen is a C++ template library for linear algebra (vectors, matrices, and related algorithms). * It supports tiny, dense, and sparse matrices (the latter is still experimental), fully integrated with one another. * It takes full advantage of expression templates to provide a great API. For
A mathematical open source library written in C#/.Net, aiming to provide a self contained clean framework for symbolic algebraic and numerical / scientific computations.
This project is a modern C++ library with a focus on portability and program correctness. It strives to be easy to use right and hard to use wrong. Thus, it comes with extensive documentation and thorough debugging modes. The library provides a platform abstraction layer for common tasks such as
A purely functional interface to basic linear algebra computations and other numerical routines, internally implemented using GSL, BLAS and LAPACK.
The Universal Java Matrix Package (UJMP) is an open source Java library that provides sparse and dense matrix classes, as well as a large number of calculations for linear algebra like matrix multiplication or matrix inverse. Operations like mean, correlation, standard deviation, replacement of
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
The Configurable Math Library (CML) is an open-source C++ library designed for use in games, graphics, computational geometry, and related applications. It includes vector, matrix, and quaternion classes, and a large library of related functions. Vectors and matrices can be of arbitrary size, and
A simple matrix and vector library. It contain basic matrix and vector operations, linear and non-linear system solvers, gauss integrator, and others
Linalg is a fast, LAPACK-based library for real and complex matrices in Ruby. Current functionality includes: singular value decomposition, eigenvectors and eigenvalues of a general matrix, least squares, LU, QR, Schur, Cholesky, stand-alone LAPACK bindings.
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