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Academic Journal of Computing & Information Science, 2019, 2(1); doi: 10.25236/AJCIS.010022.

A Half-space Projection Method for Solving Sum of Two Maximal Monotone Operators

Author(s)

Mingchuan Li

Corresponding Author:
Mingchuan Li
Affiliation(s)

College of Mathematics and Information, China West Normal University, Nanchong 637002, Sichuan, China
li990613106@163.com

Abstract

In this paper, we propose a modified Forward-Backward splitting method for finding a zero of the sum of two operators. A classical modification of Forward-Backward method was proposed by Tseng, which is known to converge when the forward and the backward operators are monotone and with Lipschitz continuity of the backward operator. The algorithm proposed here improves Tseng’s method in some instances. The first and main part of our approach, contains an explicit Armijo-type search in the spirit of the extragradient-like methods for variational inequalities. During the iteration process the search performs only one calculation of the forward-backward operator, in each tentative of the step. This achieves a considerable computational saving when the forward-backward operator is computationally expensive. The second part of the scheme consists in special projection steps. The convergence analysis of the proposed scheme is given assuming monotonicity on both operators, without Lipschitz continuity assumption on the backward operator.

Keywords

Armijo-type search, Projection method, Half-space, Maximal monotone operators

Cite This Paper

Mingchuan Li, A Half-space Projection Method for Solving Sum of Two Maximal Monotone Operators. Academic Journal of Computing & Information Science (2019) Vol. 2: 92-101. https://doi.org/10.25236/AJCIS.010022.

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