Accord.Math
3.8.0
Contains a matrix extension library, along with a suite of numerical matrix decomposition methods, numerical optimization algorithms for constrained and unconstrained problems, special functions and other tools for scientific applications. This package is part of the Accord.NET Framework.
There is a newer prerelease version of this package available.
See the version list below for details.
See the version list below for details.
InstallPackage Accord.Math Version 3.8.0
dotnet add package Accord.Math version 3.8.0
<PackageReference Include="Accord.Math" Version="3.8.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Accord.Math version 3.8.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Accord.Math, 3.8.0"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install Accord.Math as a Cake Addin
#addin nuget:?package=Accord.Math&version=3.8.0
// Install Accord.Math as a Cake Tool
#tool nuget:?package=Accord.Math&version=3.8.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
Dependencies

 Accord (>= 3.8.0)
Used By
NuGet packages (41)
Showing the top 5 NuGet packages that depend on Accord.Math:
Package  Downloads 

Accord.Statistics
Contains probability distributions, statistical models and methods such as Linear and Logistic regression, Hidden Markov Models, (Hidden) Conditional Random Fields, Principal Component Analysis, Partial Least Squares, Discriminant Analysis, Kernel methods and functions and many other related techniques. Provides methods for computing variances, standard deviations, averages, and many other statistical measures. This package is part of the Accord.NET Framework.


Accord.MachineLearning
Contains Support Vector Machines, Decision Trees, Naive Bayesian models, Kmeans, Gaussian Mixture models and general algorithms such as Ransac, Crossvalidation and GridSearch for machinelearning applications. This package is part of the Accord.NET Framework.


Accord.Imaging
Contains interest point detectors (SURF and FAST), image matching and image stitching methods.
This package is part of the Accord.NET Framework.


Accord.Vision
Realtime face detection and tracking, as well as general methods for detecting, tracking and transforming objects in image streams. Contains Haar cascade definitions, Camshift and Dynamic Template Matching trackers. This package is part of the Accord.NET Framework.


Accord.Neuro
Contains neural learning algorithms such as LevenbergMarquardt, Parallel Resilient Backpropagation, initialization procedures such as NguyenWidrow and other neural network related methods. This package is part of the Accord.NET Framework.

GitHub repositories (10)
Showing the top 5 popular GitHub repositories that depend on Accord.Math:
Repository  Stars 

QuantConnect/Lean
Lean Algorithmic Trading Engine by QuantConnect (C#, Python)


accordnet/framework
Machine learning, computer vision, statistics and general scientific computing for .NET


dukus/digiCamControl
DSLR camera remote control open source software


swharden/CsharpDataVisualization
Code examples and notes for displaying data with C#


dajuric/accordnetextensions
Advanced image processing and computer vision algorithms made as fluent extensions and built for portability

Version History
Version  Downloads  Last updated 

3.8.2alpha  149,112  11/7/2017 
3.8.1alpha  2,953  10/26/2017 
3.8.0  1,039,202  10/19/2017 
3.7.3alpha  1,500  10/17/2017 
3.7.2alpha  7,935  9/22/2017 
3.7.1alpha  1,628  9/11/2017 
3.7.0  24,695  8/20/2017 
3.6.4alpha  1,519  8/12/2017 
3.6.3alpha  1,836  7/16/2017 
3.6.2alpha  1,548  7/14/2017 
3.6.1alpha  1,481  7/9/2017 
3.6.0  111,390  7/7/2017 
3.5.4alpha  4,758  6/18/2017 
3.5.3alpha  1,482  6/17/2017 
3.5.2alpha  1,764  6/11/2017 
3.5.1alpha  1,605  6/10/2017 
3.5.0  30,516  5/21/2017 
3.4.2alpha  4,096  2/21/2017 
3.4.1alpha  2,299  1/16/2017 
3.4.0  32,138  1/11/2017 
3.3.2alpha  2,582  1/6/2017 
3.3.1alpha  2,520  10/7/2016 
3.3.0  38,249  9/16/2016 
3.2.3alpha  5,337  9/10/2016 
3.2.2alpha  1,591  9/4/2016 
3.2.1alpha  1,594  9/3/2016 
3.2.0  12,845  8/20/2016 
3.1.0alpha  2,117  6/6/2016 
3.0.2  114,389  8/16/2015 
3.0.1alpha  2,364  5/25/2015 
3.0.0alpha  1,526  5/24/2015 
2.15.0  8,835  5/1/2015 
2.14.6alpha  1,451  4/27/2015 
2.14.5alpha  1,859  4/9/2015 
2.14.4alpha  1,552  3/15/2015 
2.14.3alpha  1,534  2/23/2015 
2.14.2alpha  1,505  2/8/2015 
2.14.1alpha  1,501  2/7/2015 
2.14.0  15,167  12/8/2014 
2.13.1  7,699  9/5/2014 
2.12.0  15,594  1/5/2014 
2.11.0  3,480  11/5/2013 
2.10.0  2,097  9/7/2013 
2.8.1  9,455  12/20/2012 
2.8.0  3,639  11/6/2012 
2.7.0  2,137  7/14/2012 
2.6.1  1,375  5/5/2012 
2.6.0.1  1,224  4/3/2012 