Toolbox Sparse Optmization

版本 1.5.0.0 (804.8 KB) 作者: Gabriel Peyre
Optimization codes for sparsity related signal processing
4.4
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20.6K 次下载
更新时间 2011/1/3

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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.

引用格式

Gabriel Peyre (2024). Toolbox Sparse Optmization (https://www.mathworks.com/matlabcentral/fileexchange/16204-toolbox-sparse-optmization), MATLAB Central File Exchange. 检索时间: .

MATLAB 版本兼容性
创建方式 R2007a
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在 Help Center 和 MATLAB Answers 中查找有关 Correlation and Convolution 的更多信息
致谢

启发作品: CoSaMP and OMP for sparse recovery

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toolbox_optim/

toolbox_optim/tests/

toolbox_optim/tests/old/

toolbox_optim/toolbox/

toolbox_optim/tests/html/

版本 已发布 发行说明
1.5.0.0

Totally changed the toolbox to contain only optimization codes.
1.3.0.0

Modified license.
Remove GPL files. Gabriel said he will redo this in January.
1.2.0.0

Update of Licence
1.1.0.0

BSD Licence