MathNet.Numerics.Signed 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.

Install-Package MathNet.Numerics.Signed -Version 2.6.0

dotnet add package MathNet.Numerics.Signed --version 2.6.0

<PackageReference Include="MathNet.Numerics.Signed" Version="2.6.0" />

paket add MathNet.Numerics.Signed --version 2.6.0

Release Notes

### 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.

Dependencies

This package has no dependencies.

Used By

NuGet packages (15)

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

Package	Downloads
Spreads Spreads top level library.	47.7K
MathNet.Numerics.FSharp.Signed F# Modules for Math.NET Numerics, 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 4.5 or higher and .Net Standard 1.6 or higher, on Windows, Linux and Mac. This package contains strong-named assemblies for legacy use cases (not recommended).	28.6K
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).	9.8K
NCDK NCDK is C# implementation of the Chemistry Development Kit (CDK), which is an open-source library of algorithms for structural cheminformatics and bioinformatics.	9.6K
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GitHub repositories (3)

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microsoft/psi Platform for Situated Intelligence	228
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Version History