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Computational Convex Analysis

Algorithms for manipulating and visualizing convex functions.
(1155 downloads for this version - 10641 downloads for all versions)
A more recent valid version exists: 1.7.0
Yves Lucet
Owner Organization
University of British Columbia - Okanagan
Khan Md. Kamall Jakee
Yves Lucet
Gardiner Bryan
Creation Date
February 20, 2012
Source created on
Scilab 5.3.x
Binaries available on
Scilab 5.3.x:
Windows 64-bit Windows 32-bit Linux 64-bit Linux 32-bit macOS
Install command
--> atomsInstall("CCA")
            The Computational Convex Analysis numerical library contains efficient
algorithms to manipulate convex and nonconvex univariate functions, and to
compute fundamental convex analysis transforms.  Functions can be entered
explicitly or through a black box, and are approximated with quadratic splines.

The primary transforms implemented are the Legendre-Fenchel transform, the
Moreau envelope, the (generalized) proximal average, the convex hull, the
subdifferential, and Rockafellar and Fitzpatrick functions.

The library contains extensive demos, and numerous tests (476 unit tests with a
statement coverage of 85%).            
Files (2)
[4.04 MB]
Source code archive

[1.83 MB]
OS-independent binary for Scilab 5.3.x
Binary version
Automatically generated by the ATOMS compilation chain

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