Toolbox Sparse Optmization

Optimization codes for sparsity related signal processing

Description

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.

• MATLAB release: MATLAB 7.4 (R2007a)

[li hengjian]

Gabriel Peyré ,you very good !
just one year!,you havedone a lot of work on
signal processing

[Jianwei Ma]

Hello Gabriel, Thanks very much for your code. But it will be better to provide a readme file with more detailed description.

[Prasad Gurlahosur]

 

[dafav ffaffb]

There are some file lost in you code.Please give a whole code.

[Andrea Santos]

Hi, Gabriel your work is really interesting.

Actually, I am working with unmixing techniques for images and I want to apply sparse positive matrix factorization. I find your code could be very useful to me but, I do not have clear how to use the code. Can you help me sending me maybe a readme file with more details. I am really excited to use these functions.
Thanks.

[Farshid Zoghalchi]

 

[Ganesh AS]

Is there any GUI associated with this?

[wu]

it will be better if your zip contains a file of description

[wu]

 some files are lost such as Homotopie2.m
you'd better update your file.

[Bo]

Thanks very much

[hunan]

very good