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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.
Numerical Computing. 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, integral transforms and more.
- Overview
- Installation Instructions
- Platform Support and Dependencies
- Building Math.NET Numerics
Math.NET Numerics is an opensource numerical library for .NET and Mono.
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, integral transforms (FFT) and more.
In addition to the core .NET package (which is written entirely in C#), Numerics specifically supports F# with idiomatic extension modules and maintains mathematical data structures like BigRational that originated in the F# PowerPack. If a performance boost is needed, the managed-code provider backing its linear algebra routines and decompositions can be exchanged with wrappers for optimized native implementations such as Intel MKL.
Math.NET Numerics is covered under the terms of the MIT license. You may therefore link to it and use it in both opensource and proprietary software projects. We accept contributions!
•Project Website
•Source Code
The recommended way to get Math.NET Numerics is to use NuGet. The following packages are provided and maintained in the public NuGet Gallery.
Core Package:
•MathNet.Numerics
•MathNet.Numerics.FSharp - optional extensions for a better F# experience. BigRational.
Intel MKL Provider (optional):
•MathNet.Numerics.Providers.MKL - Binding to Native Intel MKL provider.
Supported Platforms:
•.NET 5.0 or higher (Package includes builds for 5.0 and 6.0)
•.NET Framework 4.6.1 or higher (Package includes builds for 4.6.1 and 4.8)
•.NET Standard 2.0 or higher (Package includes builds for 2.0)
Windows (.NET):
You can build Math.NET Numerics with an IDE like VisualStudio or JetBrains Rider, with MsBuild, .NET CLI tools or with FAKE (recommended).
FAKE:
.NET CLI:
MsBuild/XBuild:
See Build & Tools for full details on how to build, generate documentation or even create a full release.
For data import/export, use one of the MathNet.Numerics.Data packages instead. Some matrix examples: // Matrix<double>.Build.Dense(3,4,(i,j) => i*10*j).ToString() DenseMatrix 3x4-Double 0 0 0 0 0 10 20 30 0 20 40 60 // Matrix<double>.Build.Dense(100,100,(i,j) => i*10*j).ToString() DenseMatrix 100x100-Double 0 0 0 0 0 0 0 0 0 0 0 ..
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 project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .NET 5.0 or higher, .NET Standard 2.0 and .NET Framework 4.6.1 or higher, on Windows, Linux and Mac.
3 apr 2022 · F#: packages now include a MathNet.Numerics.fsx script that includes FSI printers and references the assemblies. Linear Algebra: improved matrix and vector ToString formatting, more compact, adaptive to actual numbers. Linear Algebra: CoerceZero for matrix and vector to replace small numbers with zero.
Annunci
relativi a: MathnetGet your first month free, then $12.99/mo. until canceled. Science, math, writing, and more key subjects brought to life through immersive gameplay.
Prepare for your numerical reasoning tests with our 2020/21 numerical reasoning package. Get full solutions & track progress on your personal dashboard - Get instant access!
