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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	599
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 (5 rating)	UnLocBoXCADWindows XP, Windows Vista, Windows Vista x64, Windows 7, Windows 7 x64, Windows 8, Windows 8 x64 Currently 2.40/5 1 2 3 4 5

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UnLocBoX freeware - The Latest User Reviews

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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.