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Math.NET Numerics aims to provide methods and algorithms for numerical computations in science, engineering and every day use. Covered topics include special functions, linear algebra, probability models, random numbers, interpolation, integration, regression, optimization problems and more.
Math.NET is an opensource initiative to build and maintain toolkits covering fundamental mathematics, targeting advanced but also every day needs of .Net developers.
The Matrix<T> and Vector<T> types are defined in the MathNet.Numerics.LinearAlgebra namespace. For technical and performance reasons there are distinct implementations for each data type. For example, for double precision numbers there is a DenseMatrix class in the MathNet.Numerics.LinearAlgebra.Double namespace.
Math.NET Numerics Documentation. Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics) Generated by docu.
Math.NET Numerics is the numerical foundation of the Math.NET initiative, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Covered topics include special functions, linear algebra, probability models, random numbers, statistics, interpolation, integration, regression, curve fitting, ...
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.
F# 341 MIT 66 42 7 Updated on Jan 15. mathnet-spatial Public. Math.NET Spatial. C# 376 MIT 132 39 3 Updated on Jan 7. mathnet-filtering Public. Math.NET Filtering (formerly Neodym) C# 235 80 9 5 Updated on Jun 5, 2023. mathnet.github.io Public. Website - www.mathdotnet.com.
