MathNet.Numerics
2.6.0
See the version list below for details.
dotnet add package MathNet.Numerics --version 2.6.0
NuGet\Install-Package MathNet.Numerics -Version 2.6.0
<PackageReference Include="MathNet.Numerics" Version="2.6.0" />
paket add MathNet.Numerics --version 2.6.0
#r "nuget: MathNet.Numerics, 2.6.0"
// Install MathNet.Numerics as a Cake Addin #addin nuget:?package=MathNet.Numerics&version=2.6.0 // Install MathNet.Numerics as a Cake Tool #tool nuget:?package=MathNet.Numerics&version=2.6.0
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. Numerics is the result of merging dnAnalytics with Math.NET Iridium and is intended to replace both. Also includes a portable build supporting .Net 4 and higher, SL5, WP8 and .NET for Windows Store apps.
Product | Versions 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. |
This package has no dependencies.
GitHub repositories (68)
Showing the top 5 popular GitHub repositories that depend on MathNet.Numerics:
Repository | Stars |
---|---|
rocksdanister/lively
Free and open-source software that allows users to set animated desktop wallpapers and screensavers powered by WinUI 3.
|
|
QuantConnect/Lean
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
|
|
StockSharp/StockSharp
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
|
|
MassTransit/MassTransit
Distributed Application Framework for .NET
|
|
akkadotnet/akka.net
Canonical actor model implementation for .NET with local + distributed actors in C# and F#.
|
Version | Downloads | Last updated |
---|---|---|
3.6.0 | 6,877 | 3/22/2015 |
3.5.0 | 11,682 | 1/10/2015 |
3.4.0 | 1,051 | 1/4/2015 |
3.3.0 | 4,840 | 11/26/2014 |
3.3.0-beta2 | 204 | 10/25/2014 |
3.3.0-beta1 | 408 | 9/28/2014 |
3.2.3 | 12,317 | 9/6/2014 |
3.2.2 | 135 | 9/5/2014 |
3.2.1 | 2,808 | 8/5/2014 |
3.2.0 | 137 | 8/5/2014 |
3.1.0 | 3,398 | 7/20/2014 |
3.0.2 | 5,342 | 6/26/2014 |
3.0.1 | 128 | 6/24/2014 |
3.0.0 | 1,742 | 6/21/2014 |
3.0.0-beta05 | 64 | 6/20/2014 |
3.0.0-beta04 | 68 | 6/15/2014 |
3.0.0-beta03 | 118 | 6/5/2014 |
3.0.0-beta02 | 84 | 5/29/2014 |
3.0.0-beta01 | 253 | 4/14/2014 |
3.0.0-alpha9 | 94 | 3/29/2014 |
3.0.0-alpha8 | 71 | 2/26/2014 |
3.0.0-alpha7 | 118 | 12/30/2013 |
3.0.0-alpha6 | 76 | 12/2/2013 |
3.0.0-alpha5 | 92 | 10/2/2013 |
3.0.0-alpha4 | 74 | 9/22/2013 |
3.0.0-alpha1 | 64 | 9/1/2013 |
2.6.2 | 6,670 | 10/21/2013 |
2.6.1 | 2,184 | 8/13/2013 |
2.6.0 | 244 | 7/26/2013 |
2.5.0 | 762 | 4/14/2013 |
2.4.0 | 809 | 2/3/2013 |
2.3.0 | 418 | 11/25/2012 |
2.2.1 | 430 | 8/29/2012 |
2.2.0 | 70 | 8/27/2012 |
2.1.2 | 907 | 10/9/2011 |
2.1.1 | 65 | 10/3/2011 |
2.1.0.19 | 76 | 10/3/2011 |
### 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.