MathNet.Numerics.Signed 3.14.0-beta02

Prefix Reserved
.NET Framework 4.0 This package targets .NET Framework 4.0. The package is compatible with this framework or higher.
This is a prerelease version of MathNet.Numerics.Signed.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package MathNet.Numerics.Signed --version 3.14.0-beta02                

                    
                

            
NuGet\Install-Package MathNet.Numerics.Signed -Version 3.14.0-beta02
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.Signed" Version="3.14.0-beta02" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add MathNet.Numerics.Signed --version 3.14.0-beta02                

                    
                

            
#r "nuget: MathNet.Numerics.Signed, 3.14.0-beta02"
#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. 
// Install MathNet.Numerics.Signed as a Cake Addin
#addin nuget:?package=MathNet.Numerics.Signed&version=3.14.0-beta02&prerelease

// Install MathNet.Numerics.Signed as a Cake Tool
#tool nuget:?package=MathNet.Numerics.Signed&version=3.14.0-beta02&prerelease

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.

This package has no dependencies.

NuGet packages (23)

Showing the top 5 NuGet packages that depend on MathNet.Numerics.Signed:

Package Downloads
NPOI

.NET port of Apache POI
MathNet.Spatial.Signed

Math.NET Spatial, providing methods and algorithms for geometry computations in science, engineering and every day use. Supports .Net Framework 4.6.1 or higher and .Net Standard 2.0 or higher on Windows, Linux and Mac. This package contains strong-named assemblies for legacy use cases (not recommended).
Spreads

Spreads top level library.
VirtualClient.Framework

Provides common classes and interfaces required for extension development in the Virtual Client platform.
NCDK

NCDK is C# implementation of the Chemistry Development Kit (CDK), which is an open-source library of algorithms for structural cheminformatics and bioinformatics.

GitHub repositories (8)

Showing the top 5 popular GitHub repositories that depend on MathNet.Numerics.Signed:

Repository Stars
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
nissl-lab/npoi
a .NET library that can read/write Office formats without Microsoft Office installed. No COM+, no interop.
microsoft/psi
Platform for Situated Intelligence
Spreads/Spreads
Series and Panels for Real-time and Exploratory Analysis of Data Streams
ros/solidworks_urdf_exporter
SolidWorks to URDF Exporter
Version Downloads Last updated
5.0.0 4,379,900 4/3/2022
5.0.0-beta02 882 4/3/2022
5.0.0-beta01 1,455 3/6/2022
5.0.0-alpha16 829 2/27/2022
5.0.0-alpha15 797 2/27/2022
5.0.0-alpha14 807 2/27/2022
5.0.0-alpha11 886 2/27/2022
5.0.0-alpha10 838 2/19/2022
5.0.0-alpha09 854 2/13/2022
5.0.0-alpha08 861 12/23/2021
5.0.0-alpha07 1,114 12/19/2021
5.0.0-alpha06 1,097 12/19/2021
5.0.0-alpha05 1,127 12/19/2021
5.0.0-alpha04 1,121 12/19/2021
5.0.0-alpha03 1,234 12/5/2021
5.0.0-alpha02 1,353 7/11/2021
5.0.0-alpha01 1,288 6/27/2021
4.15.0 10,236,795 1/7/2021
4.14.0 1,897 1/1/2021
4.13.0 1,447 12/30/2020
4.12.0 219,330 8/2/2020
4.11.0 14,223 5/24/2020
4.10.0 1,518 5/24/2020
4.9.1 58,048 4/12/2020
4.9.0 114,655 10/13/2019
4.8.1 103,207 6/11/2019
4.8.0 2,318 6/2/2019
4.8.0-beta02 1,261 5/30/2019
4.8.0-beta01 1,227 4/28/2019
4.7.0 223,286 11/11/2018
4.6.0 17,175 10/19/2018
4.5.0 102,610 5/22/2018
4.4.1 11,610 5/6/2018
3.20.2 28,663 1/22/2018
3.20.1 2,579 1/13/2018
3.20.0 28,195 7/15/2017
3.20.0-beta01 1,580 5/31/2017
3.19.0 19,265 4/29/2017
3.18.0 3,532 4/9/2017
3.17.0 7,624 1/15/2017
3.16.0 2,182 1/3/2017
3.15.0 2,016 12/27/2016
3.14.0-beta03 1,669 11/20/2016
3.14.0-beta02 1,672 11/15/2016
3.14.0-beta01 1,619 10/30/2016
3.13.1 17,938 9/6/2016
3.13.0 2,483 8/18/2016
3.12.0 5,742 7/3/2016
3.11.1 17,429 4/24/2016
3.11.0 63,845 2/13/2016
3.10.0 3,165 12/30/2015
3.9.0 3,541 11/25/2015
3.8.0 10,424 9/26/2015
3.7.1 2,432 9/21/2015
3.7.0 11,144 5/9/2015
3.6.0 3,968 3/22/2015
3.5.0 4,681 1/10/2015
3.4.0 2,220 1/4/2015
3.3.0 2,645 11/26/2014
3.3.0-beta2 1,857 10/25/2014
3.3.0-beta1 1,773 9/28/2014
3.2.3 7,310 9/6/2014
3.2.2 2,138 9/5/2014
3.2.1 2,506 8/5/2014
3.2.0 13,420 8/5/2014
3.1.0 4,735 7/20/2014
3.0.2 2,295 6/26/2014
3.0.1 2,148 6/24/2014
3.0.0 2,598 6/21/2014
3.0.0-beta05 1,839 6/20/2014
3.0.0-beta04 1,743 6/15/2014
3.0.0-beta03 1,852 6/5/2014
3.0.0-beta02 1,794 5/29/2014
3.0.0-beta01 1,997 4/14/2014
3.0.0-alpha9 1,903 3/29/2014
3.0.0-alpha8 1,845 2/26/2014
3.0.0-alpha7 1,866 12/30/2013
3.0.0-alpha6 1,863 12/2/2013
3.0.0-alpha5 1,842 10/2/2013
2.6.1 3,877 8/13/2013
2.6.0 2,249 7/26/2013
2.5.0 12,195 4/14/2013
2.4.0 2,237 2/3/2013
2.3.0 2,407 11/25/2012
2.2.1 3,099 8/29/2012

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