MathNet.Numerics.Signed 2.6.0

Prefix Reserved
.NET Framework 4.0 This package targets .NET Framework 4.0. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package MathNet.Numerics.Signed --version 2.6.0                

                    
                

            
NuGet\Install-Package MathNet.Numerics.Signed -Version 2.6.0
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="2.6.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add MathNet.Numerics.Signed --version 2.6.0                

                    
                

            
#r "nuget: MathNet.Numerics.Signed, 2.6.0"
#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=2.6.0

// Install MathNet.Numerics.Signed as a Cake Tool
#tool nuget:?package=MathNet.Numerics.Signed&version=2.6.0

Math.NET Numerics, signed and thus with a strong name. We strongly discourage using this package and recommend using MathNet.Numerics instead, which is unsigned and weakly named.

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 (22)

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 (7)

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 3,460,291 4/3/2022
5.0.0-beta02 869 4/3/2022
5.0.0-beta01 1,445 3/6/2022
5.0.0-alpha16 812 2/27/2022
5.0.0-alpha15 786 2/27/2022
5.0.0-alpha14 798 2/27/2022
5.0.0-alpha11 875 2/27/2022
5.0.0-alpha10 829 2/19/2022
5.0.0-alpha09 843 2/13/2022
5.0.0-alpha08 850 12/23/2021
5.0.0-alpha07 1,103 12/19/2021
5.0.0-alpha06 1,084 12/19/2021
5.0.0-alpha05 1,117 12/19/2021
5.0.0-alpha04 1,113 12/19/2021
5.0.0-alpha03 1,226 12/5/2021
5.0.0-alpha02 1,342 7/11/2021
5.0.0-alpha01 1,277 6/27/2021
4.15.0 9,673,458 1/7/2021
4.14.0 1,879 1/1/2021
4.13.0 1,434 12/30/2020
4.12.0 209,735 8/2/2020
4.11.0 14,161 5/24/2020
4.10.0 1,504 5/24/2020
4.9.1 48,272 4/12/2020
4.9.0 113,761 10/13/2019
4.8.1 101,832 6/11/2019
4.8.0 2,296 6/2/2019
4.8.0-beta02 1,230 5/30/2019
4.8.0-beta01 1,215 4/28/2019
4.7.0 222,771 11/11/2018
4.6.0 17,012 10/19/2018
4.5.0 102,243 5/22/2018
4.4.1 11,263 5/6/2018
3.20.2 27,944 1/22/2018
3.20.1 2,559 1/13/2018
3.20.0 27,688 7/15/2017
3.20.0-beta01 1,567 5/31/2017
3.19.0 18,945 4/29/2017
3.18.0 3,488 4/9/2017
3.17.0 7,477 1/15/2017
3.16.0 2,165 1/3/2017
3.15.0 1,997 12/27/2016
3.14.0-beta03 1,655 11/20/2016
3.14.0-beta02 1,654 11/15/2016
3.14.0-beta01 1,604 10/30/2016
3.13.1 17,912 9/6/2016
3.13.0 2,463 8/18/2016
3.12.0 5,675 7/3/2016
3.11.1 17,379 4/24/2016
3.11.0 63,778 2/13/2016
3.10.0 3,145 12/30/2015
3.9.0 3,522 11/25/2015
3.8.0 10,148 9/26/2015
3.7.1 2,364 9/21/2015
3.7.0 11,117 5/9/2015
3.6.0 3,941 3/22/2015
3.5.0 4,640 1/10/2015
3.4.0 2,204 1/4/2015
3.3.0 2,627 11/26/2014
3.3.0-beta2 1,838 10/25/2014
3.3.0-beta1 1,757 9/28/2014
3.2.3 7,292 9/6/2014
3.2.2 2,120 9/5/2014
3.2.1 2,488 8/5/2014
3.2.0 13,046 8/5/2014
3.1.0 4,715 7/20/2014
3.0.2 2,274 6/26/2014
3.0.1 2,130 6/24/2014
3.0.0 2,576 6/21/2014
3.0.0-beta05 1,826 6/20/2014
3.0.0-beta04 1,728 6/15/2014
3.0.0-beta03 1,835 6/5/2014
3.0.0-beta02 1,777 5/29/2014
3.0.0-beta01 1,979 4/14/2014
3.0.0-alpha9 1,884 3/29/2014
3.0.0-alpha8 1,823 2/26/2014
3.0.0-alpha7 1,846 12/30/2013
3.0.0-alpha6 1,842 12/2/2013
3.0.0-alpha5 1,823 10/2/2013
2.6.1 3,851 8/13/2013
2.6.0 2,226 7/26/2013
2.5.0 12,071 4/14/2013
2.4.0 2,209 2/3/2013
2.3.0 2,385 11/25/2012
2.2.1 3,006 8/29/2012

### New: Linear Curve Fitting

- Linear least-squares fitting (regression) to lines, polynomials and linear combinations of arbitrary functions.
- Multi-dimensional fitting.
- Also works well in F# with the F# extensions.

### New: Root Finding

- Brent's method.
- Bisection method.
- Broyden's method, for multi-dimensional functions.
- Newton-Raphson method.
- Robust Newton-Raphson variant that tries to recover automatically in cases where it would fail or converge too slowly. This modification makes it more robust e.g. in the presence of singularities and less sensitive to the search range/interval.
- All algorithms support a TryFind-pattern which returns success instead of throwing an exception.
- Special case for quadratic functions, in the future to be extended e.g. to polynomials.
- Basic bracketing algorithm
- Also works well in F# with the F# extensions.

### Linear Algebra

- Native eigenvalue decomposition (EVD) support with our MKL packages
- Add missing scalar-vector operations (s-v, s/v, s%v)
- Support for new F# 3.1 row/column slicing syntax on matrices
- Matrices learned proper OfColumn/RowVectors, analog also in F#.
- Documentation Fixes
- BUG: Fixed exception text message when creating a matrix from enumerables (rows vs columns)
- We're phasing out MathNet.Numerics.IO that used to be included in the main package for matrix file I/O for text and Matlab formats. Use the new .Data.Text and .Data.Matlab packages instead.

### Statistics & Distributions

- Spearman Rank Correlation Coefficient
- Covariance function, in Array-, Streaming- and common Statistics.
- Categorical: distribution more consistent, no longer requires normalized pdf/cdf parameters
- Categorical: inverse CDF function
- BUG: Fixed static sampling methods of the `Stable` distribution.

### Misc

- BUG: Fixed a bug in the Gamma Regularized special function where in some cases with large values it returned 1 instead of 0 and vice versa.
- The F# extensions now have a strong name in (and only in) the signed package as well (previously had not been signed).
- Evaluate.Polynomial with new overload which is easier to use.
- Fixed a couple badly designed unit tests that failed on Mono.
- Repository now Vagrant-ready for easy testing against recent Mono on Debian.