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

This module supports the ILNumerics infrastructure at runtime. It is always required and automatically added by ILNumerics.Core. Free trial licenses are available here: https://ilnumerics.net/download.html.

This is a prerelease version of ILNumerics.Core.Runtime.
There is a newer version of this package available.
See the version list below for details.
Install-Package ILNumerics.Core.Runtime -Version 6.0.69-beta05
dotnet add package ILNumerics.Core.Runtime --version 6.0.69-beta05
<PackageReference Include="ILNumerics.Core.Runtime" 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.Core.Runtime --version 6.0.69-beta05
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: ILNumerics.Core.Runtime, 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.Core.Runtime as a Cake Addin
#addin nuget:?package=ILNumerics.Core.Runtime&version=6.0.69-beta05&prerelease

// Install ILNumerics.Core.Runtime as a Cake Tool
#tool nuget:?package=ILNumerics.Core.Runtime&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.

About this Package

This package supports the ILNumerics infrastructure. Users commonly don't reference this package directly. Instead, start with the Computing Engine or the Visualization Engine.

General Preparation

Quick Start (Computing Engine)

  • reference the Computing Engine 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.

About this Package

This package supports the ILNumerics infrastructure. Users commonly don't reference this package directly. Instead, start with the Computing Engine or the Visualization Engine.

General Preparation

Quick Start (Computing Engine)

  • reference the Computing Engine 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 (1)

Showing the top 1 NuGet packages that depend on ILNumerics.Core.Runtime:

Package Downloads
ILNumerics.Core
This module supports the ILNumerics infrastructure. Internal use. Start with ILNumerics.Computing or ILNumerics.Drawing!

GitHub repositories

This package is not used by any popular GitHub repositories.

Version History

Version Downloads Last updated
6.0.115 235 8/26/2021
6.0.111 191 8/24/2021
6.0.86 254 8/18/2021
6.0.78 206 8/15/2021
6.0.69-beta05 200 7/28/2021
6.0.68-beta04 247 7/21/2021
6.0.53-beta03 261 7/12/2021
6.0.48-beta02 281 7/11/2021
6.0.43-beta01 663 7/7/2021
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