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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 | 634 |
| 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 (9 rating) |
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.
| 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. |
