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The Meta.Numerics math and statistics library supports scientific computing on the .NET platform. It offers an object-oriented API for matrix algebra, advanced functions of real and complex numbers, signal processing, and data analysis.

http://metanumerics.codeplex.com/Tags | math numerics ironpython maths matrix numerical-algorithms science |

Implementation | |

License | Ms-PL |

Platform | Windows |

mathlib.net aims to provide a fully managed implementation of core MATLAB(R) functions, designed to be used from C# and other .NET languages and compatible with IronPython. It provides an API matching the MATLAB(R) API, to ease the transition from analysis to implementation.

ironpython math mathematics numerical-algorithms numericsAn 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 gpuPublic domain .NET matrix maths library, including a generic matrix base class (supporting matricies with elements of any object type) and a DoubleMatrix class supporting a range of mathematical operations using Double elements.

math matrix garbage generics geometryMath.NET Numerics is an open source numerical library for the .NET Framework and Mono.

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

math complexnumber interpolation library linear-algebra mathematics matrixSharp3D.Math contains fundemental classes to dealing with numerics on the .NET platform. It contains various mathematical structures such as vectors, matrices, complex numbers and contains methods for numerical integration, random numbers generation and other object-oriented n...

3d garbage mathCommon math and computer science algorithms in Objective-C

collection of algorithms/math problems in computer science

Numerical Methods in C#.

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Search and export numerics from any text/ascii file. Data sets (scalar, vector, matrix) are given unique names, based on file content. Results can be generated for Matlab, IDL, Scilab, Octave, XML, HTML A wrapper exists for direct usage from Matlab.

The HapticAnalysis Package is a set of toolboxes for analysis of (1-dof bilateral) Haptic Teleoperation Systems. Symbolic math in GNU/Maxima, numerics in Mathworks Matlab. The teleoperator is analyzed using the H-matrix model.

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.

cpp-utilities-library library algorithms compression thread bayesian machine-learning xml-parserH2O is for data scientists and application developers who need fast, in-memory scalable machine learning for smarter applications. H2O is an open source parallel processing engine for machine learning. Unlike traditional analytics tools, H2O provides a combination of extraordinary math, a high performance parallel architecture, and unrivaled ease of use.

artificial-intelligence neural-networks machine-learning deep-learning numerical-computationGNU Octave is a high-level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation. Octave Forge is a place for development of its packages; from bioinformatics and fuzzy logic to mechanics and instrument control.

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Finally! Someone has made a math library for C++. If you are looking for the maths, you will find them here. Which maths? All of them.

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