MathNet.Numerics.Signed 2.6.0

.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There is a newer version of this package available.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. 
<PackageVersion Include="MathNet.Numerics.Signed" Version="2.6.0" />
                    


                            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 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. 
#:package MathNet.Numerics.Signed@2.6.0
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=MathNet.Numerics.Signed&version=2.6.0
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=MathNet.Numerics.Signed&version=2.6.0
                    


                            Install as a Cake Tool

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.

GitHub repositories (7)

Showing the top 7 popular GitHub repositories that depend on MathNet.Numerics.Signed:

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Version Downloads Last Updated
3.6.0 411 3/22/2015
3.5.0 512 1/10/2015
3.4.0 110 1/4/2015
3.3.0 200 11/26/2014
3.3.0-beta2 97 10/25/2014
3.3.0-beta1 97 9/28/2014
3.2.3 599 9/6/2014
3.2.2 102 9/5/2014
3.2.1 248 8/5/2014
3.2.0 105 8/5/2014
3.1.0 2,330 7/20/2014
3.0.2 154 6/26/2014
3.0.1 99 6/24/2014
3.0.0 82 6/21/2014
3.0.0-beta05 75 6/20/2014
3.0.0-beta04 86 6/15/2014
3.0.0-beta03 90 6/5/2014
3.0.0-beta02 77 5/29/2014
3.0.0-beta01 87 4/14/2014
3.0.0-alpha9 72 3/29/2014
3.0.0-alpha8 81 2/26/2014
3.0.0-alpha7 79 12/30/2013
3.0.0-alpha6 85 12/2/2013
3.0.0-alpha5 79 10/2/2013
2.6.1 597 8/13/2013
2.6.0 79 7/26/2013
2.5.0 193 4/14/2013
2.4.0 96 2/3/2013
2.3.0 69 11/25/2012
2.2.1 99 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.