UnLocBoX 1.5.0 freeware

UnLocBoX is part of the UnlocX project and contains the most used algorithms (Douglas-Rachford, forward backward, ppxa). Furthermore, a set of proximal operators is also included. In order to be consistent with the usual MATLAB name, some parameter names are changed.If you provide parameter with old names, those would just be ignored without any warning. ...

Author Perraudin Nathanael
Released 2014-12-14
Filesize 2.30 MB
Downloads 647
OS Windows XP, Windows Vista, Windows Vista x64, Windows 7, Windows 7 x64, Windows 8, Windows 8 x64
Installation Instal And Uninstall
Keywords convex optimization toolbox, MATLAB toolbox, MATLAB development, MATLAB, convex optimization, toolbox
Users' rating
(11 rating)
UnLocBoXCADWindows XP, Windows Vista, Windows Vista x64, Windows 7, Windows 7 x64, Windows 8, Windows 8 x64
UnLocBoX - project Freeware Download Notice

UnLocBoX Free Download - we do not host any UnLocBoX torrent files or links of UnLocBoX on rapidshare.com, depositfiles.com, megaupload.com etc. All UnLocBoX download links are direct UnLocBoX download from publisher site or their selected mirrors.

UnLocBoX freeware - The Latest User Reviews
UnLocBoX freeware - The Latest Versions History
1.5.0 Dec 14, 2014 New Release In order to be consistent with the usual MATLAB name, some parameter names ere changed.If you provide parameter with old names, those would just be ignored without any warning.
1.4.149 Sep 25, 2014 New Release In order to be consistent with the usual MATLAB name, some parameter names ere changed.If you provide parameter with old names, those would just be ignored without any warning.
1.3.131 Feb 27, 2014 New Release Change of variable name:
In order to be consistent with the usual MATLAB name, some parameter names ere changed.If you provide parameter with old names, those would just be ignored without any warning.
Change of name of functions:
In order to be consistent with the MATLAB notation, function names don't have
capital letters any more. This affects in particular all proximal operators and all example files.
Improvements:
The code remains mostly unchanged. Only small modification have been done. Structural improvements have also been done.
All matrices can be passed as operators. Firstly, this allows for more flexibility ( such as using linear operator without having to define their matrices). Secondly, it can, in some cases, allow the user to save memory.
Thirdly, using operators often allows using more efficient code.
Comments have been uniformed all over the toolbox.
Documentation has been improved and is available on the website.

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