MathNet.Numerics.FSharp.Signed 3.1.0

Prefix Reserved
.NET Framework 4.0 This package targets .NET Framework 4.0. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package MathNet.Numerics.FSharp.Signed --version 3.1.0
                    


                    

                
NuGet\Install-Package MathNet.Numerics.FSharp.Signed -Version 3.1.0
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="3.1.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="MathNet.Numerics.FSharp.Signed" Version="3.1.0" />
                    


                            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 3.1.0
                    


                    

                
#r "nuget: MathNet.Numerics.FSharp.Signed, 3.1.0"
#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@3.1.0
#: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=3.1.0
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=MathNet.Numerics.FSharp.Signed&version=3.1.0
                    


                            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 2,016 4/3/2022
5.0.0-beta02 381 4/3/2022
5.0.0-beta01 354 3/6/2022
5.0.0-alpha16 366 2/27/2022
5.0.0-alpha15 394 2/27/2022
5.0.0-alpha14 377 2/27/2022
5.0.0-alpha11 390 2/27/2022
5.0.0-alpha10 327 2/19/2022
5.0.0-alpha09 372 2/13/2022
5.0.0-alpha08 381 12/23/2021
5.0.0-alpha07 379 12/19/2021
5.0.0-alpha06 391 12/19/2021
5.0.0-alpha05 391 12/19/2021
5.0.0-alpha04 402 12/19/2021
5.0.0-alpha03 389 12/5/2021
5.0.0-alpha02 438 7/11/2021
5.0.0-alpha01 537 6/27/2021
4.15.0 981 1/7/2021
4.14.0 820 1/1/2021
3.1.0 1,693 7/20/2014
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Random: generate a sequence of integers within a range in one go
Distributions: all distributions must have static routines to sample an array in one go
Linear Algebra: fix Matrix.StrictlyLowerTriangle
Linear Algebra: fix vector DoOuterProduct ~mjmckp
Linear Algebra: enumerators accept Zeros-parameter (like map/fold already does)
Linear Algebra: Vector.MapConvert (consistency)
Linear Algebra: proper term for "conjugate symmetric" is "Hermitian""
Interpolation: new Step, LogLinear and transformed interpolators ~Candy Chiu
Interpolation: check for min required number of data points, throw ArgumentException if not.
Root Finding: F# FindRoots.broyden module function ~teramonagi
Misc docs fixes