MathNet.Numerics.FSharp
3.12.0
Prefix Reserved
See the version list below for details.
Install-Package MathNet.Numerics.FSharp -Version 3.12.0
dotnet add package MathNet.Numerics.FSharp --version 3.12.0
<PackageReference Include="MathNet.Numerics.FSharp" Version="3.12.0" />
paket add MathNet.Numerics.FSharp --version 3.12.0
#r "nuget: MathNet.Numerics.FSharp, 3.12.0"
// Install MathNet.Numerics.FSharp as a Cake Addin
#addin nuget:?package=MathNet.Numerics.FSharp&version=3.12.0
// Install MathNet.Numerics.FSharp as a Cake Tool
#tool nuget:?package=MathNet.Numerics.FSharp&version=3.12.0
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 F# 3.0 on .Net 4.0, .Net 3.5 and Mono on Windows, Linux and Mac; Silverlight 5 and Windows 8 with PCL portable profile 47; Android/iOS with Xamarin.
Product | Versions |
---|---|
.NET Framework | net35 net40 net403 net45 net451 net452 net46 net461 net462 net463 net47 net471 net472 net48 |
-
- FSharp.Core (>= 3.1.2.5)
- MathNet.Numerics (= 3.12.0)
NuGet packages (29)
Showing the top 5 NuGet packages that depend on MathNet.Numerics.FSharp:
Package | Downloads |
---|---|
MathNet.Symbolics
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. |
|
FsLab
FsLab is a combination package that supports doing data science with F#. FsLab includes literate scripting converted to HTML and PDF, and by default references Deedle (a data frame library), FSharp.Data (for data access) and XPlot (for visualization). You can optionally add any other nuget packages. |
|
OPTANO.Modeling
The OPTANO Modeling library allows you to use C# as a Modeling language for mathematical optimization (mixed integer programming (MIP) and linear programming (LP)). It has a lightweight footprint and connects to several solvers. |
|
FsLab.Runner
This package contains a library for turning FsLab experiments written as script files into HTML and LaTeX reports. The easiest way to use the library is to use the 'FsLab Journal' Visual Studio template. |
|
Microsoft.Quantum.Research.Simulation
Quantum research libraries for quantum simulation (non-commercial). |
GitHub repositories (1)
Showing the top 1 popular GitHub repositories that depend on MathNet.Numerics.FSharp:
Repository | Stars |
---|---|
NethermindEth/nethermind
Our flagship .NET Core Ethereum client for Linux, Windows, MacOs - full and actively developed.
|
Version | Downloads | Last updated |
---|---|---|
5.0.0 | 766 | 4/3/2022 |
5.0.0-beta02 | 37 | 4/3/2022 |
5.0.0-beta01 | 1,027 | 3/6/2022 |
5.0.0-alpha16 | 45 | 2/27/2022 |
5.0.0-alpha15 | 36 | 2/27/2022 |
5.0.0-alpha14 | 38 | 2/27/2022 |
5.0.0-alpha13 | 36 | 2/27/2022 |
5.0.0-alpha12 | 36 | 2/27/2022 |
5.0.0-alpha11 | 35 | 2/27/2022 |
5.0.0-alpha10 | 47 | 2/19/2022 |
5.0.0-alpha09 | 40 | 2/13/2022 |
5.0.0-alpha08 | 116 | 12/23/2021 |
5.0.0-alpha07 | 62 | 12/19/2021 |
5.0.0-alpha06 | 63 | 12/19/2021 |
5.0.0-alpha05 | 61 | 12/19/2021 |
5.0.0-alpha04 | 60 | 12/19/2021 |
5.0.0-alpha03 | 82 | 12/5/2021 |
5.0.0-alpha02 | 259 | 7/11/2021 |
5.0.0-alpha01 | 217 | 6/27/2021 |
4.15.0 | 168,359 | 1/7/2021 |
4.14.0 | 1,317 | 1/1/2021 |
4.13.0 | 260 | 12/30/2020 |
4.12.0 | 28,755 | 8/2/2020 |
4.11.0 | 81,306 | 5/24/2020 |
4.10.0 | 337 | 5/24/2020 |
4.9.1 | 16,329 | 4/12/2020 |
4.9.0 | 67,646 | 10/13/2019 |
4.8.1 | 102,632 | 6/11/2019 |
4.8.0 | 1,927 | 6/2/2019 |
4.8.0-beta02 | 379 | 5/30/2019 |
4.8.0-beta01 | 425 | 4/28/2019 |
4.7.0 | 77,504 | 11/11/2018 |
4.6.0 | 3,160 | 10/19/2018 |
4.5.1 | 26,699 | 5/22/2018 |
4.5.0 | 817 | 5/22/2018 |
4.4.1 | 1,224 | 5/6/2018 |
4.4.0 | 12,729 | 2/25/2018 |
4.3.0 | 842 | 2/24/2018 |
4.2.0 | 1,589 | 2/21/2018 |
4.1.0 | 1,426 | 2/19/2018 |
4.0.0 | 3,137 | 2/11/2018 |
4.0.0-beta07 | 707 | 2/10/2018 |
4.0.0-beta06 | 723 | 2/3/2018 |
4.0.0-beta05 | 751 | 1/22/2018 |
4.0.0-beta04 | 730 | 1/13/2018 |
4.0.0-beta03 | 709 | 1/9/2018 |
4.0.0-beta02 | 836 | 1/7/2018 |
4.0.0-beta01 | 691 | 1/7/2018 |
4.0.0-alpha04 | 668 | 1/5/2018 |
4.0.0-alpha03 | 665 | 12/26/2017 |
4.0.0-alpha02 | 688 | 11/30/2017 |
4.0.0-alpha01 | 701 | 11/26/2017 |
3.20.2 | 7,114 | 1/22/2018 |
3.20.1 | 1,013 | 1/13/2018 |
3.20.0 | 44,237 | 7/15/2017 |
3.20.0-beta01 | 708 | 5/31/2017 |
3.19.0 | 6,417 | 4/29/2017 |
3.18.0 | 11,127 | 4/9/2017 |
3.17.0 | 10,236 | 1/15/2017 |
3.16.0 | 1,371 | 1/3/2017 |
3.15.0 | 945 | 12/27/2016 |
3.14.0-beta03 | 740 | 11/20/2016 |
3.14.0-beta02 | 703 | 11/15/2016 |
3.14.0-beta01 | 725 | 10/30/2016 |
3.13.1 | 67,759 | 9/6/2016 |
3.13.0 | 1,183 | 8/18/2016 |
3.12.0 | 3,926 | 7/3/2016 |
3.11.1 | 5,135 | 4/24/2016 |
3.11.0 | 6,061 | 2/13/2016 |
3.10.0 | 5,257 | 12/30/2015 |
3.9.0 | 2,695 | 11/25/2015 |
3.8.0 | 32,733 | 9/26/2015 |
3.7.1 | 3,746 | 9/21/2015 |
3.7.0 | 9,851 | 5/9/2015 |
3.6.0 | 3,705 | 3/22/2015 |
3.5.0 | 3,531 | 1/10/2015 |
3.4.0 | 1,546 | 1/4/2015 |
3.3.0 | 2,418 | 11/26/2014 |
3.3.0-beta2 | 800 | 10/25/2014 |
3.3.0-beta1 | 825 | 9/28/2014 |
3.2.3 | 24,793 | 9/6/2014 |
3.2.2 | 936 | 9/5/2014 |
3.2.1 | 1,303 | 8/5/2014 |
3.2.0 | 936 | 8/5/2014 |
3.1.0 | 3,654 | 7/20/2014 |
3.0.2 | 1,376 | 6/26/2014 |
3.0.1 | 1,003 | 6/24/2014 |
3.0.0 | 2,826 | 6/21/2014 |
3.0.0-beta05 | 892 | 6/20/2014 |
3.0.0-beta04 | 845 | 6/15/2014 |
3.0.0-beta03 | 850 | 6/5/2014 |
3.0.0-beta02 | 848 | 5/29/2014 |
3.0.0-beta01 | 1,581 | 4/14/2014 |
3.0.0-alpha9 | 923 | 3/29/2014 |
3.0.0-alpha8 | 897 | 2/26/2014 |
3.0.0-alpha7 | 1,348 | 12/30/2013 |
3.0.0-alpha6 | 987 | 12/2/2013 |
3.0.0-alpha5 | 1,165 | 10/2/2013 |
3.0.0-alpha4 | 910 | 9/22/2013 |
3.0.0-alpha1 | 862 | 9/1/2013 |
2.6.0 | 12,182 | 7/26/2013 |
2.5.0 | 1,627 | 4/14/2013 |
2.4.0 | 1,320 | 2/3/2013 |
2.3.0 | 1,420 | 11/25/2012 |
2.2.1 | 1,333 | 8/29/2012 |
2.2.0 | 1,118 | 8/27/2012 |
2.1.2 | 5,091 | 10/9/2011 |
2.1.1 | 1,272 | 10/3/2011 |
2.1.0.19 | 1,514 | 10/3/2011 |
ODE Solver: Runge-Kutta (order 2, 4) and Adams-Bashforth (order 1-4) algorithms ~Yoonku Hwang
Linear Algebra: faster multiplication of sparse with dense matrices ~Arthur
BUG: Integration: Gauss-Legendre on order 256 ~Sergey Kosukhin
BUG: Distributions: ChiSquared sampling was taking a square root where it should not ~Florian Wechsung