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There is a newer version of this package available.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 3,800,330 4/3/2022
5.0.0-beta02 875 4/3/2022
5.0.0-beta01 1,449 3/6/2022
5.0.0-alpha16 821 2/27/2022
5.0.0-alpha15 792 2/27/2022
5.0.0-alpha14 802 2/27/2022
5.0.0-alpha11 881 2/27/2022
5.0.0-alpha10 833 2/19/2022
5.0.0-alpha09 849 2/13/2022
5.0.0-alpha08 856 12/23/2021
5.0.0-alpha07 1,109 12/19/2021
5.0.0-alpha06 1,088 12/19/2021
5.0.0-alpha05 1,123 12/19/2021
5.0.0-alpha04 1,117 12/19/2021
5.0.0-alpha03 1,230 12/5/2021
5.0.0-alpha02 1,348 7/11/2021
5.0.0-alpha01 1,283 6/27/2021
4.15.0 9,887,225 1/7/2021
4.14.0 1,889 1/1/2021
4.13.0 1,441 12/30/2020
4.12.0 213,800 8/2/2020
4.11.0 14,182 5/24/2020
4.10.0 1,511 5/24/2020
4.9.1 52,247 4/12/2020
4.9.0 114,126 10/13/2019
4.8.1 102,300 6/11/2019
4.8.0 2,305 6/2/2019
4.8.0-beta02 1,240 5/30/2019
4.8.0-beta01 1,223 4/28/2019
4.7.0 222,970 11/11/2018
4.6.0 17,081 10/19/2018
4.5.0 102,377 5/22/2018
4.4.1 11,365 5/6/2018
3.20.2 28,220 1/22/2018
3.20.1 2,566 1/13/2018
3.20.0 27,869 7/15/2017
3.20.0-beta01 1,571 5/31/2017
3.19.0 19,057 4/29/2017
3.18.0 3,509 4/9/2017
3.17.0 7,572 1/15/2017
3.16.0 2,171 1/3/2017
3.15.0 2,004 12/27/2016
3.14.0-beta03 1,659 11/20/2016
3.14.0-beta02 1,658 11/15/2016
3.14.0-beta01 1,610 10/30/2016
3.13.1 17,923 9/6/2016
3.13.0 2,470 8/18/2016
3.12.0 5,701 7/3/2016
3.11.1 17,389 4/24/2016
3.11.0 63,815 2/13/2016
3.10.0 3,150 12/30/2015
3.9.0 3,528 11/25/2015
3.8.0 10,274 9/26/2015
3.7.1 2,395 9/21/2015
3.7.0 11,122 5/9/2015
3.6.0 3,951 3/22/2015
3.5.0 4,660 1/10/2015
3.4.0 2,209 1/4/2015
3.3.0 2,634 11/26/2014
3.3.0-beta2 1,846 10/25/2014
3.3.0-beta1 1,764 9/28/2014
3.2.3 7,297 9/6/2014
3.2.2 2,127 9/5/2014
3.2.1 2,493 8/5/2014
3.2.0 13,217 8/5/2014
3.1.0 4,724 7/20/2014
3.0.2 2,281 6/26/2014
3.0.1 2,137 6/24/2014
3.0.0 2,583 6/21/2014
3.0.0-beta05 1,830 6/20/2014
3.0.0-beta04 1,734 6/15/2014
3.0.0-beta03 1,843 6/5/2014
3.0.0-beta02 1,783 5/29/2014
3.0.0-beta01 1,987 4/14/2014
3.0.0-alpha9 1,893 3/29/2014
3.0.0-alpha8 1,834 2/26/2014
3.0.0-alpha7 1,856 12/30/2013
3.0.0-alpha6 1,852 12/2/2013
3.0.0-alpha5 1,832 10/2/2013
2.6.1 3,862 8/13/2013
2.6.0 2,237 7/26/2013
2.5.0 12,155 4/14/2013
2.4.0 2,225 2/3/2013
2.3.0 2,396 11/25/2012
2.2.1 3,046 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