ILNumerics.Computing 6.0.69-beta05 The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

Fast, stable and efficient numerical algorithms for .NET (C#, Visual Basic). Supports numpy and Matlab n-dimensional array style. Free trial licenses are available here: https://ilnumerics.net/download.html.

This is a prerelease version of ILNumerics.Computing.
There is a newer version of this package available.
See the version list below for details.
Install-Package ILNumerics.Computing -Version 6.0.69-beta05
dotnet add package ILNumerics.Computing --version 6.0.69-beta05
<PackageReference Include="ILNumerics.Computing" Version="6.0.69-beta05" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add ILNumerics.Computing --version 6.0.69-beta05
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: ILNumerics.Computing, 6.0.69-beta05"
#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 ILNumerics.Computing as a Cake Addin
#addin nuget:?package=ILNumerics.Computing&version=6.0.69-beta05&prerelease

// Install ILNumerics.Computing as a Cake Tool
#tool nuget:?package=ILNumerics.Computing&version=6.0.69-beta05&prerelease
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

ILNumerics Ultimate VS

This package is part of ILNumerics Ultimate VS - a powerful framework for technical application development on .NET. ILNumerics provides packages for the convenient authoring of:

Compatibility

ILNumerics is compatible with all .NET runtimes since .NET Framework 4.6.1., including .NET Core, .NET 5.0, .NET 6.0.

We've invested great effort to translate and keep up to date the quasi standard algorithms for all computational routines, including linear algebra, FFT and optimization methods. These purely managed implementations are the first to bring professional robustness and precision to .NET. Hence, ILNumerics runs efficiently on any platform supported by .NET! Optionally, native libraries can be used to replace the managed default implementation. For the Windows platform, such native, optimized libraries are provided, too.

Performance

ILNumerics apps are typically much faster than alternatives: faster to implement and faster during execution. With ILNumerics the size of your data is not limited by the managed heap. ILNumerics n-dimensional Array<T> bridges the gap from high-level mathematical expressions down to native memory robustly, efficiently, and transparently. It allows to connect your data to any 3rd party without hassle. Further, it is able to host your data on any computational resource found, including CPUs and GPUs - key for heterogeneous, parallel computing.

Computing Engine

Implement numerical algorithms in the way you are used to: based on n-dimensional arrays.

Array<double> A = ones(10,20); 
Array<double> B = rand(20,20) + eye(20,20) * 10; 

// compute singular values
Array<double> C = svd(A); 

// compute FFT, 3rd ... last columns of A
C = fft(A[full, r(2,end)]); 

Getting started with Array<T>
Detailed subarray documentation General getting started guide

Features

Algorithms created with ILNumerics Computing Engine do ...

  • provide full compatibility with array features of Matlab(R) and numpy.
  • automatically clean up after you. No need to deal with memory anymore!
  • use state of the art implementations, maintained and accepted by the scientific community for decades.
  • run on any platform supported by .NET - without giving up on robustness nor precision.
  • auto-parallelize where possible, and
  • implement many optimizations internally. They usually run faster than any competitor!
  • break free from limitations of the managed heap reliably (no GC, no 3GB size limit).

Preparation

Quick Start

  • reference this package in your project.

  • include the following 'using' directives (C#):

      using ILNumerics; 
      using static ILNumerics.ILMath; 
      using static ILNumerics.Globals; 
    
  • read the beginners guide and start implementing your algorithms!

Documentation

Examples

ILNumerics example collection

ILNumerics Ultimate VS

This package is part of ILNumerics Ultimate VS - a powerful framework for technical application development on .NET. ILNumerics provides packages for the convenient authoring of:

Compatibility

ILNumerics is compatible with all .NET runtimes since .NET Framework 4.6.1., including .NET Core, .NET 5.0, .NET 6.0.

We've invested great effort to translate and keep up to date the quasi standard algorithms for all computational routines, including linear algebra, FFT and optimization methods. These purely managed implementations are the first to bring professional robustness and precision to .NET. Hence, ILNumerics runs efficiently on any platform supported by .NET! Optionally, native libraries can be used to replace the managed default implementation. For the Windows platform, such native, optimized libraries are provided, too.

Performance

ILNumerics apps are typically much faster than alternatives: faster to implement and faster during execution. With ILNumerics the size of your data is not limited by the managed heap. ILNumerics n-dimensional Array<T> bridges the gap from high-level mathematical expressions down to native memory robustly, efficiently, and transparently. It allows to connect your data to any 3rd party without hassle. Further, it is able to host your data on any computational resource found, including CPUs and GPUs - key for heterogeneous, parallel computing.

Computing Engine

Implement numerical algorithms in the way you are used to: based on n-dimensional arrays.

Array<double> A = ones(10,20); 
Array<double> B = rand(20,20) + eye(20,20) * 10; 

// compute singular values
Array<double> C = svd(A); 

// compute FFT, 3rd ... last columns of A
C = fft(A[full, r(2,end)]); 

Getting started with Array<T>
Detailed subarray documentation General getting started guide

Features

Algorithms created with ILNumerics Computing Engine do ...

  • provide full compatibility with array features of Matlab(R) and numpy.
  • automatically clean up after you. No need to deal with memory anymore!
  • use state of the art implementations, maintained and accepted by the scientific community for decades.
  • run on any platform supported by .NET - without giving up on robustness nor precision.
  • auto-parallelize where possible, and
  • implement many optimizations internally. They usually run faster than any competitor!
  • break free from limitations of the managed heap reliably (no GC, no 3GB size limit).

Preparation

Quick Start

  • reference this package in your project.

  • include the following 'using' directives (C#):

      using ILNumerics; 
      using static ILNumerics.ILMath; 
      using static ILNumerics.Globals; 
    
  • read the beginners guide and start implementing your algorithms!

Documentation

Examples

ILNumerics example collection

Release Notes

See the changelog: https://ilnumerics.net/changelog.html

NuGet packages (10)

Showing the top 5 NuGet packages that depend on ILNumerics.Computing:

Package Downloads
ILNEditor
Properties editor and plot browser for ILNumerics (http://ilnumerics.net/) scene graphs and plot cubes
ILNumerics.Drawing
Modern, interactive, technical and scientific plots and visualizations in 2D and 3D. This module is part of the ILNumerics Visualization Engine for creation of fast and interactive 2D/3D visualizatios on .NET. Free trial licenses are available here: https://ilnumerics.net/download.html.
ILNumerics.Toolboxes.Interpolation
Efficient n-dimensional interpolation routines for gridded and non-gridded data. Free trial licenses are available here: https://ilnumerics.net/download.html.
ILNumerics.Toolboxes.Statistics
Statistical functions and classes to be used with ILNumerics Computing Engine. Free trial licenses are available here: https://ilnumerics.net/download.html.
ILNumerics.IO.HDF5
Professional, efficient, object oriented API for HDF5. Integrates ILNumerics smart arrays. Prepared to run under Windows and Linux (x64). Free trial licenses are available here: https://ilnumerics.net/download.html.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version History

Version Downloads Last updated
6.0.115 182 8/26/2021
6.0.111 144 8/24/2021
6.0.86 194 8/18/2021
6.0.78 165 8/15/2021
6.0.69-beta05 158 7/28/2021
6.0.68-beta04 191 7/21/2021
6.0.53-beta03 204 7/12/2021
6.0.48-beta02 1,062 7/11/2021
6.0.43-beta01 255 7/7/2021
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