Yahoo Suche Web Suche

Suchergebnisse

1. Suchergebnisse:

1. numerics.mathdotnet.comMath.NET Numerics - MathDotNet

   numerics.mathdotnet.com

   • Im Cache

   Math.NET Numerics is a project that provides methods and algorithms for numerical computations in science, engineering and every day use. It supports C#, F#, Visual Basic and Linux with Mono, and is available under the MIT License.

   • Regression

     Curve Fitting: Linear Regression. Regression is all about...

   • Release Notes

     Note that the classes in the MathNet.Numerics.IO library are...

   • NuGet & Binaries

     In most scenarios you'll only need the primary package named...

   • Platform Support

     Platform Support. Supported Platforms:.NET 5.0 or higher,...

   • Class Reference

     Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)...

   • Who is using Math.NET

     Who is using Math.NET Numerics? This page collects anything...

   • Intel MKL

     IO open MathNet. Numerics Control. NativeProviderPath...

   • Generating Data

     Generating Data. Numerics is all about analyzing and...

2. github.com › mathnet › mathnet-numericsGitHub - mathnet/mathnet-numerics: Math.NET Numerics

   github.com › mathnet › mathnet-numerics

   • Im Cache

   • Overview
   • Installation Instructions
   • Platform Support and Dependencies
   • Building Math.NET Numerics
   • GeneratedCaptionsTabForHeroSec

   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

   Komplette Liste auf github.com

   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.

   Komplette Liste auf github.com

   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)

   Komplette Liste auf github.com

   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.

   Komplette Liste auf github.com

   Math.NET Numerics provides methods and algorithms for numerical computations in science, engineering and every day use. It supports F#, C# and other languages, and can use native implementations like Intel MKL or OpenBLAS for performance boost.

   Komplette Liste auf github.com

3. Videos

   • 1:11:38

     youtube.com

     Mathnet | The Case of the Deceptive Data

     9. Mai 2012

     50.8K Aufrufe

   • 1:18:01

     youtube.com

     Mathnet | The Case of the Unkidnapping

     14. Apr. 2012

     50.2K Aufrufe

   • 1:7:27

     youtube.com

     Mathnet | The Case of the Masked Avenger

     20. Juni 2012

     28.1K Aufrufe

   Alle anzeigen

4. www.mathdotnet.comMath.NET

   www.mathdotnet.com

   • Im Cache

   Math.NET is an initiative to build and maintain toolkits covering fundamental mathematics, such as numerical computing, computer algebra, signal processing and geometry. The toolkits are written in F# and target .Net and Mono platforms.

5. numerics.mathdotnet.com › MatrixMatrices and Vectors - MathDotNet

   numerics.mathdotnet.com › Matrix

   • Im Cache

   Matrices and Vectors. Math.NET Numerics includes rich types for matrices and vectors. They support both single and double precision, real and complex floating point numbers. A =⎡ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢⎣ a0,0 a0,1 ⋯ a0,(n−1) a1,0 a1,1 ⋯ a1,(n−1) ⋮ ⋮ ⋱ ⋮ a(m−1),0 a(m−1),1 ⋯ a(m−1),(n−1 ...

6. en.wikipedia.org › wiki › MathMath.NET Numerics - Wikipedia

   en.wikipedia.org › wiki › Math

   • Im Cache

   Math.NET Numerics started 2009 by merging code and teams of dnAnalytics with Math.NET Iridium. It is influenced by ALGLIB, JAMA and Boost, among others, and has accepted numerous code contributions. [1] [2] It is part of the Math.NET initiative to build and maintain open mathematical toolkits for the .NET platform since 2002. [citation needed]

7. mathnet.github.io › mathnet-numerics › ReleaseNotesMath.NET Numerics Release Notes - GitHub Pages

   mathnet.github.io › mathnet-numerics › ReleaseNotes

   • Im Cache

   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.