MiKM: multi-step inertial Krasnosel'skii-Mann algorithm and its applications

  • Dong, Q. L.; 
  • Huang, J. Z.; 
  • Li, X. H.; 
  • Cho, Y. J.; 
  • Rassias, Th. M.
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80
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84

초록

In this paper, we first introduce a multi-step inertial Krasnosel'skii-Mann algorithm (MiKM) for nonexpansive operators in real Hilbert spaces. We give the convergence of the MiKM by investigating the convergence of the Krasnosel'skii-Mann algorithm with perturbations. We also establish global pointwise and ergodic iteration complexity bounds of the Krasnosel'skii-Mann algorithm with perturbations. Based on the MiKM, we construct some multi-step inertial splitting methods, including the multi-step inertial Douglas-Rachford splitting method (MiDRS), the multi-step inertial forward-backward splitting method, multi-step inertial backward-forward splitting method and and the multi-step inertial Davis-Yin splitting method. Numerical experiments are provided to illustrate the advantage of the MiDRS over the one-step inertial DRS and the original DRS.

키워드

Nonexpansive operator; Multi-step inertial Krasnosel'skii-Mann algorithm; Monotone inclusion; Bounded perturbation resilience; Douglas-Rachford splitting method; Forward-backward splitting method; Backward-forward splitting method; Davis-Yin splitting method; GRADIENT METHODS; SUPERIORIZATION
제목
MiKM: multi-step inertial Krasnosel'skii-Mann algorithm and its applications
저자
Dong, Q. L.; Huang, J. Z.; Li, X. H.; Cho, Y. J.; Rassias, Th. M.
DOI
10.1007/s10898-018-0727-x
발행일
2019-04
유형
Article
저널명
Journal of Global Optimization
권
73
호
4
페이지
801 ~ 824