Convergence analysis and applications of the inertial algorithm solving inclusion problems
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초록

Nonlinear operator theory is an important area of nonlinear functional analysis. This area encompasses diverse nonlinear problems in many areas of mathematics, the physical sciences and engineering such as monotone operator equations, fixed point problems and more. In this work we are concern with the problem of finding a common solution of a monotone operator equation and fixed point of a nonexpansive mapping in real Hilbert spaces. Derived from dynamical systems, a simple inertial forward-backward splitting method for solving the problem is presented and analyzed under mild and standard assumptions. Some numerical examples in real-world and comparisons with related works, illustrate the theoretical advantages as well the potential applicability of the proposed scheme. (c) 2022 IMACS. Published by Elsevier B.V. All rights reserved.

키워드

Monotone operator equationFixed pointForward-backward algorithmInertial techniqueNonexpansive mappingSPLIT VARIATIONAL INCLUSIONFORWARD-BACKWARD ALGORITHMCOMMON FIXED-POINTSNONEXPANSIVE-MAPPINGSMONOTONE-OPERATORSMANN ALGORITHMAPPROXIMATIONWEAKPROJECTION
제목
Convergence analysis and applications of the inertial algorithm solving inclusion problems
저자
Tang, YanLin, HonghuaGibali, AvivCho, Yeol Je
DOI
10.1016/j.apnum.2022.01.016
발행일
2022-05
유형
Article
저널명
Applied Numerical Mathematics
175
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1 ~ 17