Closed kislayabhi closed 7 years ago
Hi @kislayabhi ADMM is a particular case of ALM, please see: https://en.wikipedia.org/wiki/Augmented_Lagrangian_method ..."The alternating direction method of multipliers (ADMM) is a variant of the augmented Lagrangian scheme that uses partial updates for the dual variables."... and .."ADMM technique allows this problem to be solved approximately by first solving for x with y fixed, and then solving for y with x fixed."...and it is exactly as RPCA via PCP proposed by Candès paper works, please see the Algorithm 1 (Principal Component Pursuit by Alternating Directions) on page 29: http://statweb.stanford.edu/~candes/papers/RobustPCA.pdf and ..."Algorithm 1 is a special case of a more general class of augmented Lagrange multiplier algorithms known as alternating directions methods"... so, both Readme and algorithm implementation are ok
Hi @kislayabhi, @andrewssobral,
Great answer from @andrewssobral, thanks a lot for your time writing it (and researching the issue)! This terminology can indeed be a bit confusing, and I am glad that @kislayabhi asked about it here. I hope that this discussion will help to avoid some of the future questions.
It is mentioned in your Readme file that the the optimization method is ADMM algorithm (Alternating Direction Method of Multipliers) but I think it is ALM (both in your code and in the RPCA? paper).