MathNet.Numerics 3.3.0-beta1

.NET Framework 3.5 This package targets .NET Framework 3.5. The package is compatible with this framework or higher.
This is a prerelease version of MathNet.Numerics.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package MathNet.Numerics --version 3.3.0-beta1
                    


                    

                
NuGet\Install-Package MathNet.Numerics -Version 3.3.0-beta1
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" Version="3.3.0-beta1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="MathNet.Numerics" Version="3.3.0-beta1" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="MathNet.Numerics" />
                    


                            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 --version 3.3.0-beta1
                    


                    

                
#r "nuget: MathNet.Numerics, 3.3.0-beta1"
#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. 
#addin nuget:?package=MathNet.Numerics&version=3.3.0-beta1&prerelease
                    


                            Install MathNet.Numerics as a Cake Addin
                        

                    

                
#tool nuget:?package=MathNet.Numerics&version=3.3.0-beta1&prerelease
                    


                            Install MathNet.Numerics 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, .Net 3.5 and Mono on Windows, Linux and Mac; Silverlight 5, WindowsPhone/SL 8, WindowsPhone 8.1 and Windows 8 with PCL Portable Profiles 47 and 328; Android/iOS with Xamarin.

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

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Version Downloads Last updated
3.6.0 6,877 3/22/2015
3.5.0 11,682 1/10/2015
3.4.0 1,051 1/4/2015
3.3.0 4,840 11/26/2014
3.3.0-beta2 204 10/25/2014
3.3.0-beta1 408 9/28/2014
3.2.3 12,317 9/6/2014
3.2.2 135 9/5/2014
3.2.1 2,808 8/5/2014
3.2.0 137 8/5/2014
3.1.0 3,398 7/20/2014
3.0.2 5,342 6/26/2014
3.0.1 128 6/24/2014
3.0.0 1,742 6/21/2014
3.0.0-beta05 64 6/20/2014
3.0.0-beta04 68 6/15/2014
3.0.0-beta03 118 6/5/2014
3.0.0-beta02 84 5/29/2014
3.0.0-beta01 253 4/14/2014
3.0.0-alpha9 94 3/29/2014
3.0.0-alpha8 71 2/26/2014
3.0.0-alpha7 118 12/30/2013
3.0.0-alpha6 76 12/2/2013
3.0.0-alpha5 92 10/2/2013
3.0.0-alpha4 74 9/22/2013
3.0.0-alpha1 64 9/1/2013
2.6.2 6,670 10/21/2013
2.6.1 2,184 8/13/2013
2.6.0 244 7/26/2013
2.5.0 762 4/14/2013
2.4.0 809 2/3/2013
2.3.0 418 11/25/2012
2.2.1 430 8/29/2012
2.2.0 70 8/27/2012
2.1.2 907 10/9/2011
2.1.1 65 10/3/2011
2.1.0.19 76 10/3/2011

Linear Algebra: Vector.Fold2 (fold2 in F#), storage optimized
Linear Algebra: Minor change how matrix products call the LA provider
Linear Algebra: Random generation now leveraging array sampling routines
Linear Algebra: fix bug when manually assigning System.Random to random distribution
Statistics: RootMeanSquare (RMS)
Distributions: Array sampling routines now available through interface
Distributions: Categorical sampling now explicitly skips p=0 categories
Generate: leverage array sampling routines for random data generation
Generate: square, triangle and sawtooth waves
Distance: Jaccard Index
F#: explicitly depend on official FSharp.Core NuGet packages
F#: NuGet package with iPython IfSharp F# module integration load script
Build: unified build.sh and buildn.sh into combined build.sh
Build: use Paket instead of NuGet to maintain NuGet dependencies