Toolbox Sparse Optmization

版本 (804.8 KB) 作者: Gabriel Peyre
Optimization codes for sparsity related signal processing

20.6K 次下载

更新时间 2011/1/3


This toolbox contains the implementation of what I consider to be fundamental algorithms
for non-smooth convex optimization of structured functions. These algorithms might not be the fasted
(although they certainly are quite efficient), but they all have a simple implementation in term
of black boxes (gradient and proximal mappings, given as callbacks). However, you should have
some knowledge about what is a gradient operator and a proximal mapping in order to be able
to use this toolbox on your own problems. I suggest you have a look at the
"suggested readings" for some more information about all this.


Gabriel Peyre (2023). Toolbox Sparse Optmization (, MATLAB Central File Exchange. 检索来源 .

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版本 已发布 发行说明

Totally changed the toolbox to contain only optimization codes.

Modified license.
Remove GPL files. Gabriel said he will redo this in January.

Update of Licence

BSD Licence