Total variation problem is an old problem and there are multiple algorithms for solving this problem.
What is the best algorithm for solving TV problem? What is the the advantage of the algorithm? What is the complexity of the algorithm? Thanks.
With what kind of probleam you are dealing with? Total Variation have several different meaning. You are dealing with images, right? Are you talking about minimization in a TV norm? Is a regularization problem? Please, be more specific.
Hi Ernesto:
Thanks for your reply. The application of TV is for image denoising. Thanks.
Valerio:
Thanks a lot.
Duality-Based Algorithms
This thesis might be helpful
http://www.caam.rice.edu/~optimization/L1/TVAL3/CBL_master_thesis.pdf
You may try ADMM (Alternating Direction Method of Multipliers).
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