MathNet.Numerics.FSharp.Signed 3.15.0

Prefix Reserved
There is a newer version of this package available.
See the version list below for details.
dotnet add package MathNet.Numerics.FSharp.Signed --version 3.15.0
                    
NuGet\Install-Package MathNet.Numerics.FSharp.Signed -Version 3.15.0
                    
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="MathNet.Numerics.FSharp.Signed" Version="3.15.0" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="MathNet.Numerics.FSharp.Signed" Version="3.15.0" />
                    
Directory.Packages.props
<PackageReference Include="MathNet.Numerics.FSharp.Signed" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add MathNet.Numerics.FSharp.Signed --version 3.15.0
                    
#r "nuget: MathNet.Numerics.FSharp.Signed, 3.15.0"
                    
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#:package MathNet.Numerics.FSharp.Signed@3.15.0
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=MathNet.Numerics.FSharp.Signed&version=3.15.0
                    
Install as a Cake Addin
#tool nuget:?package=MathNet.Numerics.FSharp.Signed&version=3.15.0
                    
Install as a Cake Tool

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 4.0.

Product Compatible and additional computed target framework versions.
.NET Framework 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. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
5.0.0 2,210 4/3/2022
5.0.0-beta02 398 4/3/2022
5.0.0-beta01 372 3/6/2022
5.0.0-alpha16 381 2/27/2022
5.0.0-alpha15 411 2/27/2022
5.0.0-alpha14 397 2/27/2022
5.0.0-alpha11 409 2/27/2022
5.0.0-alpha10 345 2/19/2022
5.0.0-alpha09 390 2/13/2022
5.0.0-alpha08 400 12/23/2021
5.0.0-alpha07 395 12/19/2021
5.0.0-alpha06 413 12/19/2021
5.0.0-alpha05 404 12/19/2021
5.0.0-alpha04 425 12/19/2021
5.0.0-alpha03 407 12/5/2021
5.0.0-alpha02 453 7/11/2021
5.0.0-alpha01 552 6/27/2021
4.15.0 1,011 1/7/2021
4.14.0 858 1/1/2021
3.15.0 1,561 12/27/2016
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FFT: MKL native provider backend.
FFT: 2D and multi-dimensional FFT (only supported by MKL provider, managed provider pending).
FFT: real conjugate-even FFT (only leveraging symmetry in MKL provider).
FFT: managed provider significantly faster on x64.
Linear Algebra: pointwise trigonometric and basic functions ~Albert Pang
Linear Algebra: better support for F# built-in operators (sqrt, sin, exp, ..) ~Albert Pang
Linear Algebra: pointwise power operator (F#)
Linear Algebra: enable experimental matrix product implementation
Linear Algebra: better support for matrix to/from row-major arrays and enumerables
Linear Algebra: transport allows specifying a result matrix to transpose into, inplace if square
Linear Algebra: vector and matrix AsArray and similar to access internal arrays if applicable
Linear Algebra: vector and matrix pointwise min/max and absmin/absmax
Linear Algebra: dot-power on vectors and matrices, supporting native providers.
Linear Algebra: matrix Moore-Penrose pseudo-inverse (SVD backed).
Provider Control: separate Control classes for LA and FFT Providers.
Provider Control: avoid internal exceptions on provider discovery.
Distributions: fix misleading inline docs on Negative-Binomial.
Generate: linear integer ranges
Root Finding: extend zero-crossing bracketing in derivative-free algorithms.
Window: periodic versions of Hamming, Hann, Cosine and Lanczos windows.
Special Functions: more robust GammaLowerRegularizedInv (and Gamma.InvCDF).
BUG: ODE Solver: fix bug in Runge-Kutta second order routine ~Ksero