MathNet.Numerics.Signed 3.13.0

The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org. Prefix Reserved
.NET Framework 4.0
There is a newer version of this package available.
See the version list below for details. 
dotnet add package MathNet.Numerics.Signed --version 3.13.0
NuGet\Install-Package MathNet.Numerics.Signed -Version 3.13.0
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.Signed" Version="3.13.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add MathNet.Numerics.Signed --version 3.13.0
#r "nuget: MathNet.Numerics.Signed, 3.13.0"
#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. 
// Install MathNet.Numerics.Signed as a Cake Addin
#addin nuget:?package=MathNet.Numerics.Signed&version=3.13.0

// Install MathNet.Numerics.Signed as a Cake Tool
#tool nuget:?package=MathNet.Numerics.Signed&version=3.13.0

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 (20)

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

Package Downloads
NPOI The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

.NET port of Apache POI | Contact us on telegram: https://t.me/npoidevs
MathNet.Spatial.Signed The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

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 (6)

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
5.0.0 378,878 4/3/2022
5.0.0-beta02 773 4/3/2022
5.0.0-beta01 1,340 3/6/2022
5.0.0-alpha16 708 2/27/2022
5.0.0-alpha15 702 2/27/2022
5.0.0-alpha14 715 2/27/2022
5.0.0-alpha11 764 2/27/2022
5.0.0-alpha10 749 2/19/2022
5.0.0-alpha09 765 2/13/2022
5.0.0-alpha08 765 12/23/2021
5.0.0-alpha07 950 12/19/2021
5.0.0-alpha06 933 12/19/2021
5.0.0-alpha05 957 12/19/2021
5.0.0-alpha04 953 12/19/2021
5.0.0-alpha03 1,068 12/5/2021
5.0.0-alpha02 1,169 7/11/2021
5.0.0-alpha01 1,115 6/27/2021
4.15.0 6,367,015 1/7/2021
4.14.0 1,773 1/1/2021
4.13.0 1,353 12/30/2020
4.12.0 162,626 8/2/2020
4.11.0 13,783 5/24/2020
4.10.0 1,411 5/24/2020
4.9.1 37,800 4/12/2020
4.9.0 108,644 10/13/2019
4.8.1 96,826 6/11/2019
4.8.0 2,226 6/2/2019
4.8.0-beta02 1,141 5/30/2019
4.8.0-beta01 1,143 4/28/2019
4.7.0 220,001 11/11/2018
4.6.0 16,025 10/19/2018
4.5.0 99,781 5/22/2018
4.4.1 9,666 5/6/2018
3.20.2 24,445 1/22/2018
3.20.1 2,485 1/13/2018
3.20.0 25,322 7/15/2017
3.20.0-beta01 1,498 5/31/2017
3.19.0 17,332 4/29/2017
3.18.0 3,400 4/9/2017
3.17.0 7,319 1/15/2017
3.16.0 2,084 1/3/2017
3.15.0 1,918 12/27/2016
3.14.0-beta03 1,577 11/20/2016
3.14.0-beta02 1,587 11/15/2016
3.14.0-beta01 1,538 10/30/2016
3.13.1 17,802 9/6/2016
3.13.0 2,383 8/18/2016
3.12.0 5,446 7/3/2016
3.11.1 17,195 4/24/2016
3.11.0 63,453 2/13/2016
3.10.0 3,060 12/30/2015
3.9.0 3,431 11/25/2015
3.8.0 8,913 9/26/2015
3.7.1 2,258 9/21/2015
3.7.0 10,873 5/9/2015
3.6.0 3,801 3/22/2015
3.5.0 4,458 1/10/2015
3.4.0 2,128 1/4/2015
3.3.0 2,535 11/26/2014
3.3.0-beta2 1,763 10/25/2014
3.3.0-beta1 1,685 9/28/2014
3.2.3 6,962 9/6/2014
3.2.2 2,044 9/5/2014
3.2.1 2,395 8/5/2014
3.2.0 11,142 8/5/2014
3.1.0 4,628 7/20/2014
3.0.2 2,200 6/26/2014
3.0.1 2,052 6/24/2014
3.0.0 2,492 6/21/2014
3.0.0-beta05 1,752 6/20/2014
3.0.0-beta04 1,655 6/15/2014
3.0.0-beta03 1,747 6/5/2014
3.0.0-beta02 1,708 5/29/2014
3.0.0-beta01 1,908 4/14/2014
3.0.0-alpha9 1,814 3/29/2014
3.0.0-alpha8 1,750 2/26/2014
3.0.0-alpha7 1,769 12/30/2013
3.0.0-alpha6 1,772 12/2/2013
3.0.0-alpha5 1,747 10/2/2013
2.6.1 3,753 8/13/2013
2.6.0 2,152 7/26/2013
2.5.0 6,447 4/14/2013
2.4.0 2,142 2/3/2013
2.3.0 2,318 11/25/2012
2.2.1 2,730 8/29/2012

Linear Algebra: faster tall, wide managed matrix multiplication. ~Aixile
Euclid: Integer Log2 (DeBruijn sequencences algorithm).
Integration: Gauss-Legendre documentation, cleanup. ~Larz White
Random: Integer sub-range sampling to use rejection sampling to avoid bias.
Random: Improvements on integer and byte sampling.
BUG: Random: CryptoRandomSource must not generate 1.0 samples.
BUG: Statistics: fixed bug in WeightedPearson Correlation. ~Jon Smit