Sensitivity Analysis of the Proximal-Based Parallel Decomposition Methods

Feng Ma, Mingfang Ni, Lei Zhu, Zhanke Yu
2014 Mathematical Problems in Engineering  
The proximal-based parallel decomposition methods were recently proposed to solve structured convex optimization problems. These algorithms are eligible for parallel computation and can be used efficiently for solving large-scale separable problems. In this paper, compared with the previous theoretical results, we show that the range of the involved parameters can be enlarged while the convergence can be still established. Preliminary numerical tests on stable principal component pursuit
more » ... nent pursuit problem testify to the advantages of the enlargement.
doi:10.1155/2014/891017 fatcat:5oadpddhurddvhvomhuudhpzjy