87 packages
returned for Tags:"algebra"
Math.NET Numerics is the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .Net Framework 4.0 or higher and .Net Standard 1.3 or higher, on Windows, Linux and Mac.
Contains a matrix extension library, along with a suite of numerical matrix decomposition methods, numerical optimization algorithms for constrained and unconstrained problems, special functions and other tools for scientific applications. This package is part of the Accord.NET Framework.
F# Modules for Math.NET Numerics, the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .Net Framework 4.5 or higher and .Net Standard 1.6 or higher, on Windows, Linux and Mac.
Math.NET Numerics is the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .Net Framework 4.0 or higher and .Net Standard 1.3 or higher, on Windows, Linux and Mac. This package...
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Math.NET Symbolics is a basic open source computer algebra library for .Net and Mono. Written in F# but works well in C# as well. Supports .Net Framework 4.5 or higher and .Net Standard 2.0 or higher, on Windows, Linux and Mac.
The GPUaccelerated version of package CenterSpace.NMath. With a few minor exceptions, such as optional GPU configuration settings, the API is identical between CenterSpace.NMath.Premium and CenterSpace.NMath. If using at least .NET Framework 4.6.1 or .NET Core 2.0, we recommend using one of our...
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Intel MKL native libraries for Math.NET Numerics on Linux.
Intel MKL native libraries for Math.NET Numerics on Windows.
Lightweight optimizer of System.Linq.Expression expressions. Just basic boolean algebra and reductions, constant and tuple/anonymous type eliminations. For sideeffect free Expressions. No compilationsubjective optimizations.
Bright Wire is an open source machine learning library. Includes neural networks (feed forward, convolutional and recurrent), naive bayes, linear regression, decision trees, logistic regression, kmeans clustering and dimensionality reduction.
Intel MKL native libraries for Math.NET Numerics on Windows.
FsAlg is a linear algebra library that supports generic types. It is implemented in the F# language.
The library provides generic Vector and Matrix types that support most of the commonly used linear algebra operations, including matrixâ€“vector operations, matrix inverse, determinants, eigenvalues,...
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While there are already countless math libraries for performing common matrix/array functions, StarMath is distinguished by its simplicity and flexbility. There is no need to declare vectors and matrices in a specific library format. It works simliar to Math.function calls in C#.
The library is a...
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Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares...
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Intel MKL native libraries for Math.NET Numerics on Linux.

2,987 total downloads

last updated 3/16/2013

Latest version: 0.0.1.5

Math
Linear
Algebra
Common linear algebra library.
Package containing extensive mathematical capabilities for .NET including:
Solution of mathematical expressions provided in string format with support for a large number of functions, operators, logical expressions and variables.
Solution of systems of linear simultaneous equations.
Polynomial...
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A simple library for Linear Algebra.
F# Modules for Math.NET Numerics, the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .Net Framework 4.5 or higher and .Net Standard 1.6 or higher, on Windows, Linux and Mac. This...
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Bright Wire CUDA adds GPU support to Bright Wire. This lets you run Bright Wire machine learning on a Maxwell or better NVIDIA GPU.