A new approach to convergence analysis of iterative models with optimal error bounds

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Tran, Minh-Phuong, Nguyen, Thanh-Nhan, Nguyen, Thai-Hung, Nguyen, Tan-Phuc, Nguyen, Tien-Khai, Nguyen, Cong-Duy-Nguyen, Huynh, Trung-Hieu
Formato: Preprint
Publicado: 2024
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866917558251159552
author Tran, Minh-Phuong
Nguyen, Thanh-Nhan
Nguyen, Thai-Hung
Nguyen, Tan-Phuc
Nguyen, Tien-Khai
Nguyen, Cong-Duy-Nguyen
Huynh, Trung-Hieu
author_facet Tran, Minh-Phuong
Nguyen, Thanh-Nhan
Nguyen, Thai-Hung
Nguyen, Tan-Phuc
Nguyen, Tien-Khai
Nguyen, Cong-Duy-Nguyen
Huynh, Trung-Hieu
contents In this paper, we study a new approach related to the convergence analysis of Ishikawa-type iterative models to a common fixed point of two non-expansive mappings in Banach spaces. The main novelty of our contribution lies in the so-called \emph{optimal error bounds}, which established some necessary and sufficient conditions for convergence and derived both the error estimates and bounds on the convergence rates for iterative schemes. Although a special interest here is devoted to the Ishikawa and modified Ishikawa iterative sequences, the theory of \emph{optimal error bounds} proposed in this paper can also be favorably applied to various types of iterative models to approximate common fixed points of non-expansive mappings.
format Preprint
id arxiv_https___arxiv_org_abs_2401_02093
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A new approach to convergence analysis of iterative models with optimal error bounds
Tran, Minh-Phuong
Nguyen, Thanh-Nhan
Nguyen, Thai-Hung
Nguyen, Tan-Phuc
Nguyen, Tien-Khai
Nguyen, Cong-Duy-Nguyen
Huynh, Trung-Hieu
Numerical Analysis
In this paper, we study a new approach related to the convergence analysis of Ishikawa-type iterative models to a common fixed point of two non-expansive mappings in Banach spaces. The main novelty of our contribution lies in the so-called \emph{optimal error bounds}, which established some necessary and sufficient conditions for convergence and derived both the error estimates and bounds on the convergence rates for iterative schemes. Although a special interest here is devoted to the Ishikawa and modified Ishikawa iterative sequences, the theory of \emph{optimal error bounds} proposed in this paper can also be favorably applied to various types of iterative models to approximate common fixed points of non-expansive mappings.
title A new approach to convergence analysis of iterative models with optimal error bounds
topic Numerical Analysis
url https://arxiv.org/abs/2401.02093