English

Solution to a Monotone Inclusion Problem using the Relaxed Peaceman-Rachford Splitting Method: Convergence and its Rates

Optimization and Control 2022-11-15 v4

Abstract

We consider the convergence behavior using the relaxed Peaceman-Rachford splitting method to solve the monotone inclusion problem 0(A+B)(u)0 \in (A + B)(u), where A,B:nnA, B: \Re^n \rightrightarrows \Re^n are maximal β\beta-strongly monotone operators, n1n \geq 1 and β>0\beta > 0. Under a technical assumption, convergence of iterates using the method on the problem is proved when either AA or BB is single-valued, and the fixed relaxation parameter θ\theta lies in the interval (2+β,2+β+min{β,1/β})(2 + \beta, 2 + \beta + \min \{ \beta, 1/\beta \}). With this convergence result, we address an open problem that is not settled in [20] on the convergence of these iterates for θ(2+β,2+β+min{β,1/β})\theta \in (2 + \beta, 2 + \beta + \min \{ \beta, 1/\beta\}). Pointwise convergence rate results and RR-linear convergence rate results when θ\theta lies in the interval [2+β,2+β+min{β,1/β})[2 + \beta, 2 + \beta + \min \{ \beta, 1/\beta\}) are also provided in the paper. Our analysis to achieve these results is atypical and hence novel. Numerical experiments are conducted on the weighted Lasso minimization problem to test the validity of the assumption .

Keywords

Cite

@article{arxiv.2111.04177,
  title  = {Solution to a Monotone Inclusion Problem using the Relaxed Peaceman-Rachford Splitting Method: Convergence and its Rates},
  author = {Chee Khian Sim},
  journal= {arXiv preprint arXiv:2111.04177},
  year   = {2022}
}

Comments

23 pages, 1 figure, 1 table