Scilab Home Page | Wiki | Bug Tracker | Forge | Mailing List Archives | Scilab Online Help | File Exchange
ATOMS : Diffcode details
Login with GitLab

Diffcode

Automatic differentiation
(802 downloads for this version - 20035 downloads for all versions)
Details
Version
1.0
A more recent valid version exists: 1.3
Authors
DIGITEO - Michael Baudin
INRIA - Xavier Jonsson
INRIA - Serge Steer
Owner Organization
DIGITEO - INRIA
Maintainer
Michael BAUDIN
Categories
License
Dependencies
Creation Date
October 19, 2011
Source created on
Scilab 5.2.x
Binaries available on
Scilab 5.2.x:
Windows 64-bit Windows 32-bit Linux 64-bit Linux 32-bit macOS
Install command
--> atomsInstall("diffcode")
Description
            This toolbox enables Scilab code differentiation using operators and
primitive functions overloading.

Given a Scilab code computing a variable y depending on a variable x
and a direction dx it allow evaluation of y together with the
directional derivative Grad(y)*dx.

The module supports arithmetic operations, common elementary functions and
several matrix functions, including matrix inversion.

Type : 

help diffcode_overview

for a quick start.

Features
--------

The following is a list of the current functions :
 * diffcode_der -  Create a new code differentiation object.
 * diffcode_CDcost -  Objective function for optim.
 * diffcode_hessian — Compute the Hessian of the function.
 * diffcode_jacobian — Compute the Jacobian of the function.

            
Files (2)
[101.80 kB]
Source code archive

[194.64 kB]
OS-independent binary for Scilab 5.2.x
Binary version
Automatically generated by the ATOMS compilation chain

News (0)
Comments (2)     Leave a comment 
[get_person] Le compte avec l'identifiant 2125 n'existe pas