MathNet.Numerics.FSharp
3.5.0
See the version list below for details.
dotnet add package MathNet.Numerics.FSharp --version 3.5.0
NuGet\Install-Package MathNet.Numerics.FSharp -Version 3.5.0
<PackageReference Include="MathNet.Numerics.FSharp" Version="3.5.0" />
paket add MathNet.Numerics.FSharp --version 3.5.0
#r "nuget: MathNet.Numerics.FSharp, 3.5.0"
// Install MathNet.Numerics.FSharp as a Cake Addin #addin nuget:?package=MathNet.Numerics.FSharp&version=3.5.0 // Install MathNet.Numerics.FSharp as a Cake Tool #tool nuget:?package=MathNet.Numerics.FSharp&version=3.5.0
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 Compatible and additional computed target framework versions. |
---|---|
.NET Framework | net35 is compatible. net40 is compatible. net403 was computed. net45 was computed. net451 was computed. net452 was computed. net46 was computed. net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
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- FSharp.Core (>= 3.1.2.1)
- MathNet.Numerics (= 3.5.0)
GitHub repositories (2)
Showing the top 2 popular GitHub repositories that depend on MathNet.Numerics.FSharp:
Repository | Stars |
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mathnet/mathnet-numerics
Math.NET Numerics
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NethermindEth/nethermind
A robust execution client for Ethereum node operators.
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Version | Downloads | Last updated |
---|---|---|
3.6.0 | 789 | 3/22/2015 |
3.5.0 | 1,693 | 1/10/2015 |
3.4.0 | 117 | 1/4/2015 |
3.3.0 | 976 | 11/26/2014 |
3.3.0-beta2 | 66 | 10/25/2014 |
3.3.0-beta1 | 65 | 9/28/2014 |
3.2.3 | 686 | 9/6/2014 |
3.2.2 | 71 | 9/5/2014 |
3.2.1 | 216 | 8/5/2014 |
3.2.0 | 58 | 8/5/2014 |
3.1.0 | 2,402 | 7/20/2014 |
3.0.2 | 337 | 6/26/2014 |
3.0.1 | 65 | 6/24/2014 |
3.0.0 | 435 | 6/21/2014 |
3.0.0-beta05 | 58 | 6/20/2014 |
3.0.0-beta04 | 50 | 6/15/2014 |
3.0.0-beta03 | 48 | 6/5/2014 |
3.0.0-beta02 | 51 | 5/29/2014 |
3.0.0-beta01 | 136 | 4/14/2014 |
3.0.0-alpha9 | 51 | 3/29/2014 |
3.0.0-alpha8 | 48 | 2/26/2014 |
3.0.0-alpha7 | 49 | 12/30/2013 |
3.0.0-alpha6 | 57 | 12/2/2013 |
3.0.0-alpha5 | 65 | 10/2/2013 |
3.0.0-alpha4 | 51 | 9/22/2013 |
3.0.0-alpha1 | 47 | 9/1/2013 |
2.6.0 | 1,739 | 7/26/2013 |
2.5.0 | 115 | 4/14/2013 |
2.4.0 | 56 | 2/3/2013 |
2.3.0 | 66 | 11/25/2012 |
2.2.1 | 54 | 8/29/2012 |
2.2.0 | 56 | 8/27/2012 |
2.1.2 | 122 | 10/9/2011 |
2.1.1 | 56 | 10/3/2011 |
2.1.0.19 | 57 | 10/3/2011 |
Differentiation: derivative, partial and mixed partial; hessian & jacobian ~Hythem Sidky
Differentiation: Differentiate facade class for simple use cases
Differentiation: F# module for better F# function support.
Linear Algebra: matrix ToRowArrays/ToColumnArrays
Linear Algebra: F# insertRow, appendRow, prependRow and same also for columns
Linear Algebra: F# append, stack and ofMatrixList2
Precision: measured machine epsilon, positive vs negative epsilon