MathNet.Numerics.Signed 4.8.0

The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org. Prefix Reserved
.NET Standard 1.3 .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There is a newer version of this package available.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 4.8.0
NuGet\Install-Package MathNet.Numerics.Signed -Version 4.8.0
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="4.8.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add MathNet.Numerics.Signed --version 4.8.0
#r "nuget: MathNet.Numerics.Signed, 4.8.0"
#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=4.8.0

// Install MathNet.Numerics.Signed as a Cake Tool
#tool nuget:?package=MathNet.Numerics.Signed&version=4.8.0

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 Framework 4.0 or higher and .Net Standard 1.3 or higher, on Windows, Linux and Mac. This package contains strong-named assemblies for legacy use cases (not recommended).

Product Versions
.NET net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-windows
.NET Core netcoreapp1.0 netcoreapp1.1 netcoreapp2.0 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1
.NET Standard netstandard1.3 netstandard1.4 netstandard1.5 netstandard1.6 netstandard2.0 netstandard2.1
.NET Framework net40 net403 net45 net451 net452 net46 net461 net462 net463 net47 net471 net472 net48 net481
MonoAndroid monoandroid
MonoMac monomac
MonoTouch monotouch
Tizen tizen30 tizen40 tizen60
Universal Windows Platform uap uap10.0
Xamarin.iOS xamarinios
Xamarin.Mac xamarinmac
Xamarin.TVOS xamarintvos
Xamarin.WatchOS xamarinwatchos
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (16)

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

Spreads

Spreads top level library.

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).

NCDK

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

CRZ

Package Description

GitHub repositories (6)

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

Repository Stars
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
nissl-lab/npoi-examples
To get started with NPOI, here is all the official examples.
Version Downloads Last updated
5.0.0 50,292 4/3/2022
5.0.0-beta02 94 4/3/2022
5.0.0-beta01 675 3/6/2022
5.0.0-alpha16 100 2/27/2022
5.0.0-alpha15 89 2/27/2022
5.0.0-alpha14 86 2/27/2022
5.0.0-alpha11 87 2/27/2022
5.0.0-alpha10 94 2/19/2022
5.0.0-alpha09 99 2/13/2022
5.0.0-alpha08 130 12/23/2021
5.0.0-alpha07 115 12/19/2021
5.0.0-alpha06 111 12/19/2021
5.0.0-alpha05 117 12/19/2021
5.0.0-alpha04 110 12/19/2021
5.0.0-alpha03 268 12/5/2021
5.0.0-alpha02 337 7/11/2021
5.0.0-alpha01 289 6/27/2021
4.15.0 675,359 1/7/2021
4.14.0 937 1/1/2021
4.13.0 579 12/30/2020
4.12.0 74,146 8/2/2020
4.11.0 10,024 5/24/2020
4.10.0 587 5/24/2020
4.9.1 19,044 4/12/2020
4.9.0 86,767 10/13/2019
4.8.1 86,223 6/11/2019
4.8.0 1,516 6/2/2019
4.8.0-beta02 495 5/30/2019
4.8.0-beta01 524 4/28/2019
4.7.0 215,571 11/11/2018
4.6.0 11,917 10/19/2018
4.5.0 88,229 5/22/2018
4.4.1 5,851 5/6/2018
3.20.2 17,439 1/22/2018
3.20.1 1,610 1/13/2018
3.20.0 20,148 7/15/2017
3.20.0-beta01 856 5/31/2017
3.19.0 14,080 4/29/2017
3.18.0 2,583 4/9/2017
3.17.0 6,398 1/15/2017
3.16.0 1,284 1/3/2017
3.15.0 1,096 12/27/2016
3.14.0-beta03 895 11/20/2016
3.14.0-beta02 886 11/15/2016
3.14.0-beta01 900 10/30/2016
3.13.1 16,909 9/6/2016
3.13.0 1,525 8/18/2016
3.12.0 4,460 7/3/2016
3.11.1 16,028 4/24/2016
3.11.0 61,752 2/13/2016
3.10.0 2,217 12/30/2015
3.9.0 2,508 11/25/2015
3.8.0 6,106 9/26/2015
3.7.1 1,380 9/21/2015
3.7.0 9,731 5/9/2015
3.6.0 2,925 3/22/2015
3.5.0 3,203 1/10/2015
3.4.0 1,260 1/4/2015
3.3.0 1,649 11/26/2014
3.3.0-beta2 1,032 10/25/2014
3.3.0-beta1 989 9/28/2014
3.2.3 5,476 9/6/2014
3.2.2 1,201 9/5/2014
3.2.1 1,557 8/5/2014
3.2.0 6,952 8/5/2014
3.1.0 3,833 7/20/2014
3.0.2 1,402 6/26/2014
3.0.1 1,253 6/24/2014
3.0.0 1,689 6/21/2014
3.0.0-beta05 1,071 6/20/2014
3.0.0-beta04 984 6/15/2014
3.0.0-beta03 1,038 6/5/2014
3.0.0-beta02 989 5/29/2014
3.0.0-beta01 1,240 4/14/2014
3.0.0-alpha9 1,128 3/29/2014
3.0.0-alpha8 1,057 2/26/2014
3.0.0-alpha7 1,036 12/30/2013
3.0.0-alpha6 1,099 12/2/2013
3.0.0-alpha5 1,055 10/2/2013
2.6.1 2,951 8/13/2013
2.6.0 1,329 7/26/2013
2.5.0 1,900 4/14/2013
2.4.0 1,299 2/3/2013
2.3.0 1,524 11/25/2012
2.2.1 1,822 8/29/2012

Optimization: Levenberg-Marquardt, Trust-Region Dogleg ~Jong Hyun Kim
Optimization: Nelder-Mead-Simplex: Improve convergence for symmetrical functions ~Erik Ovegard
BUG: Optimization: Nelder-Mead-Simplex did not return the best evaluated point in some cases ~Eric Scott Salem
Factorial: first 170 values now constant (data segment) instead of precomputed on first use ~Portalez Regis
Window Functions: Tukey window ~Marco Ross