MathNet.Numerics.Signed 3.17.0

Prefix Reserved
There is a newer version of this package available.
See the version list below for details.
dotnet add package MathNet.Numerics.Signed --version 3.17.0
                    
NuGet\Install-Package MathNet.Numerics.Signed -Version 3.17.0
                    
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="3.17.0" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="MathNet.Numerics.Signed" Version="3.17.0" />
                    
Directory.Packages.props
<PackageReference Include="MathNet.Numerics.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.Signed --version 3.17.0
                    
#r "nuget: MathNet.Numerics.Signed, 3.17.0"
                    
#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.
#addin nuget:?package=MathNet.Numerics.Signed&version=3.17.0
                    
Install as a Cake Addin
#tool nuget:?package=MathNet.Numerics.Signed&version=3.17.0
                    
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.

This package has no dependencies.

NuGet packages (27)

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.

CRZ

Package Description

GitHub repositories (8)

Showing the top 8 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
ros/solidworks_urdf_exporter
SolidWorks to URDF Exporter
Spreads/Spreads
Series and Panels for Real-time and Exploratory Analysis of Data Streams
Doxense/foundationdb-dotnet-client
C#/.NET Binding for FoundationDB Client API
FriendsOfCADability/CADability
CADability is a pure .net class library for modeling and analyzing 3d data, both with your code and interactively. It comes with an optional Windows.Forms user interface, which can be adopted to other environments. It does not refer to other 3d modeling libraries. For data exchange you can use STEP, STL or DXF files.
microsoft/VirtualClient
Benchmarking and monitoring automation, designed for cloud, built with .NET.
Version Downloads Last Updated
5.0.0 10,035,842 4/3/2022
5.0.0-beta02 997 4/3/2022
5.0.0-beta01 1,542 3/6/2022
5.0.0-alpha16 922 2/27/2022
5.0.0-alpha15 879 2/27/2022
5.0.0-alpha14 885 2/27/2022
5.0.0-alpha11 978 2/27/2022
5.0.0-alpha10 909 2/19/2022
5.0.0-alpha09 929 2/13/2022
5.0.0-alpha08 940 12/23/2021
5.0.0-alpha07 1,200 12/19/2021
5.0.0-alpha06 1,174 12/19/2021
5.0.0-alpha05 1,224 12/19/2021
5.0.0-alpha04 1,204 12/19/2021
5.0.0-alpha03 1,304 12/5/2021
5.0.0-alpha02 1,434 7/11/2021
5.0.0-alpha01 1,371 6/27/2021
4.15.0 12,569,555 1/7/2021
4.14.0 2,023 1/1/2021
4.13.0 1,568 12/30/2020
4.12.0 271,112 8/2/2020
4.11.0 14,611 5/24/2020
4.10.0 1,647 5/24/2020
4.9.1 113,307 4/12/2020
4.9.0 120,082 10/13/2019
4.8.1 117,809 6/11/2019
4.8.0 2,463 6/2/2019
4.8.0-beta02 1,372 5/30/2019
4.8.0-beta01 1,339 4/28/2019
4.7.0 228,776 11/11/2018
4.6.0 17,727 10/19/2018
4.5.0 104,833 5/22/2018
4.4.1 13,681 5/6/2018
3.20.2 31,499 1/22/2018
3.20.1 2,895 1/13/2018
3.20.0 33,293 7/15/2017
3.20.0-beta01 1,799 5/31/2017
3.19.0 20,934 4/29/2017
3.18.0 3,950 4/9/2017
3.17.0 7,983 1/15/2017
3.16.0 2,405 1/3/2017
3.15.0 2,250 12/27/2016
3.14.0-beta03 1,872 11/20/2016
3.14.0-beta02 1,875 11/15/2016
3.14.0-beta01 1,822 10/30/2016
3.13.1 18,209 9/6/2016
3.13.0 2,721 8/18/2016
3.12.0 6,172 7/3/2016
3.11.1 17,914 4/24/2016
3.11.0 64,276 2/13/2016
3.10.0 3,403 12/30/2015
3.9.0 3,786 11/25/2015
3.8.0 11,882 9/26/2015
3.7.1 2,699 9/21/2015
3.7.0 11,622 5/9/2015
3.6.0 4,298 3/22/2015
3.5.0 4,940 1/10/2015
3.4.0 2,478 1/4/2015
3.3.0 2,905 11/26/2014
3.3.0-beta2 2,081 10/25/2014
3.3.0-beta1 1,991 9/28/2014
3.2.3 7,569 9/6/2014
3.2.2 2,378 9/5/2014
3.2.1 2,792 8/5/2014
3.2.0 15,160 8/5/2014
3.1.0 5,017 7/20/2014
3.0.2 2,559 6/26/2014
3.0.1 2,411 6/24/2014
3.0.0 2,857 6/21/2014
3.0.0-beta05 2,088 6/20/2014
3.0.0-beta04 1,967 6/15/2014
3.0.0-beta03 2,075 6/5/2014
3.0.0-beta02 2,023 5/29/2014
3.0.0-beta01 2,237 4/14/2014
3.0.0-alpha9 2,126 3/29/2014
3.0.0-alpha8 2,083 2/26/2014
3.0.0-alpha7 2,086 12/30/2013
3.0.0-alpha6 2,084 12/2/2013
3.0.0-alpha5 2,080 10/2/2013
2.6.1 4,148 8/13/2013
2.6.0 2,513 7/26/2013
2.5.0 12,792 4/14/2013
2.4.0 2,514 2/3/2013
2.3.0 2,683 11/25/2012
2.2.1 3,660 8/29/2012

Random: random sources (all except crypto) now support ephemeral serialization.
Linear Algebra: explicit impl to copy a range of a row of a sparse matrix to a range of a sparse vector ~arthurvb
Linear Algebra: explicitly demand fully modifiable matrix where needed, fixes issues with diagonal matrices.
FFT: leverage new matrix internal array access approach in 2D matrix transformations.