DiffSharp 0.6.0

.NET Framework This package is compatible with all versions of .NET Framework. 
dotnet add package DiffSharp --version 0.6.0                

                    
                

            
NuGet\Install-Package DiffSharp -Version 0.6.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="DiffSharp" Version="0.6.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add DiffSharp --version 0.6.0                

                    
                

            
#r "nuget: DiffSharp, 0.6.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install DiffSharp as a Cake Addin
#addin nuget:?package=DiffSharp&version=0.6.0

// Install DiffSharp as a Cake Tool
#tool nuget:?package=DiffSharp&version=0.6.0

DiffSharp is an automatic differentiation (AD) library implemented in the F# language.

AD allows exact and efficient calculation of derivatives, by systematically applying the chain rule of calculus at the elementary operator level. AD is different from numerical differentiation, which is prone to truncation and round-off errors, and symbolic differentiation, which is exact but not efficient for run-time calculations and can only handle closed-form mathematical expressions.

Using the DiffSharp library, derivative calculations (gradients, Hessians, Jacobians, directional derivatives, and matrix-free Hessian- and Jacobian-vector products) can be incorporated with minimal change into existing algorithms. Operations can be nested to any level, meaning that you can compute exact higher-order derivatives and differentiate functions that are internally making use of differentiation. Please see the API Overview page for a list of available operations.

The library is under active development by Atılım Güneş Baydin and Barak A. Pearlmutter mainly for research applications in machine learning, as part of their work at the Brain and Computation Lab, Hamilton Institute, National University of Ireland Maynooth.

Product Compatible and additional computed target framework versions.
.NET Framework net is compatible. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
0.6.0 110 4/26/2015
0.5.10 71 3/27/2015
0.5.9 67 2/26/2015
0.5.8 54 2/23/2015
0.5.7 68 2/17/2015
0.5.6 54 2/13/2015
0.5.5 91 12/15/2014
0.5.4 176 11/23/2014
0.5.3 688 11/7/2014
0.5.2 756 11/4/2014
0.5.1 69 10/27/2014
0.5.0 80 10/2/2014

Please visit

https://github.com/gbaydin/DiffSharp/releases

for the latest release notes.