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Math.NET Iiridium has been merged with dnAnalytics into Math.NET Numerics. Math.NET Numerics replaces both Iridium and dnAnalytics, Iridium is discontinued.

http://mathnetiridium.codeplex.com/Tags | math complexnumber interpolation library linear-algebra mathematics matrix |

Implementation | |

License | LGPL |

Platform | Windows |

Commons Math is a library of lightweight, self-contained mathematics and statistics components addressing the most common problems not available in the Java programming language. it has support for Linear Algebra, Probability Distributions, Numerical Algebra, Statistics, Transform methods, Least Square etc.

math math-library mathematics statistics algebraMath.js is an extensive math library for JavaScript and Node.js. It features a flexible expression parser with support for symbolic computation, comes with a large set of built-in functions and constants, and offers an integrated solution to work with different data types like numbers, big numbers, complex numbers, fractions, units, and matrices.

math complex-numbers matrices units bignumbers expression-evaluator mathematics functions numeric algebra parser expression number bignumber complex fraction matrix unitThe Dambach Linear Algebra Framework is a general purpose Linear Algebra framework for .Net. The main goal is to enable ordinary programmers (who do not have a math degree) to make use of linear algebra methods in solving everyday problems.

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An Arbitrary Element Types Linear Algebra Matrix Library for Haskell.

Simple Library for matrix and vector opetations in linear algebra

A very simple linear algebra library with functionality up to 4x4 matrix operation.

This project will be one of the most complete Math / numeric Java library which contain all Complex, Matrix, vector, Fourier Operations, Geometry, Digital, logic, scalar, linear algebra on complex numbers and matrix, ... calculations.

C# Math Library, focused in linear algebra tools

An object-oriented library for scientific computing in C++.

dlib is a library for developing portable applications dealing with networking, threads, graphical interfaces, data structures, linear algebra, machine learning, XML and text parsing, numerical optimization, Bayesian nets, data compression routines, linked lists, binary search trees, linear algebra and matrix utilities, machine learning algorithms, and many other general utilities.

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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 ...

math matrix npack algorithms blas gpgpu gpuImplementations of selected sparse matrix formats for linear algebra supporting scientific and machine learning applications.Machine learning applications typically model entities as vectors of numerical features so that they may be compared and analysed quantitively. Typically the majority of the elements in these vectors are zeros. In the case of text mining applications, each document within a corpus is represented as a vector and its features represent the vocabulary of unique words. A corpus of several thousand documents might utilise a vocabulary of hundreds of thousands (or perhaps even millions) of unique words but each document will typically only contain a couple of hundred unique words. This means the number of non-zero values in the matrix might only be around 1%.

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physics, linear algebra and mathematics libraries written in javascript

scala Matrix classes and helper functions for doing linear algebra