Modified Fast Inertial-Type Krasnosel’skii-Mann Iterative Scheme Involving Asymptotically Nonexpansive Mapping

IF 1.5 Q3 MATHEMATICS, APPLIED
Emmanuel Akaligwo, Micah Osilike, Noemí DeCastro-García, Angel Luis Muñoz Castañeda, David Escudero García
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Abstract

It is our aim to propose a new iterative algorithm with an inertial term involving asymptotically nonexpansive mapping in the framework of Hilbert spaces. Let T : H⟶H be asymptotically nonexpansive mapping with F(T) ≠ ∅ ∅ and let be defined by xn+1 = σnzn + bn(Tnσnzn − σnzn) + εn, ∀n ≥ 1. T satisfies an additional mild condition, then the sequence converges strongly to . Our main contribution lies in establishing a strong convergence theorem for this method, without relying on the assumption that . Our strong convergence theorems extend the corresponding convergence theorems in literature for nonexpansive maps to a more general class of asymptotically nonexpansive maps. Furthermore, our proposed algorithm is implemented by finding the fixed point of common solutions to a variational inequality problem and η−inverse-strongly monotone mapping in Hilbert space. Numerical illustrations showed some improvements over existing results in literature.

Abstract Image

Abstract Image

涉及渐近非扩张映射的改进快速惯性Krasnosel - skii- mann迭代格式
本文的目的是在Hilbert空间的框架中提出一种新的迭代算法,该算法具有惯性项,涉及渐近非扩张映射。设T: H为F(T)≠∅∅的渐近非扩张映射,设xn+1 = σnzn + bn(Tnσnzn−σnzn) + εn,∀n≥1。T满足一个附加的温和条件,则序列强收敛于。我们的主要贡献在于为该方法建立了一个强收敛定理,而不依赖于。我们的强收敛定理将文献中有关非扩张映射的收敛定理推广到一类更一般的渐近非扩张映射。此外,我们提出的算法通过寻找Hilbert空间中变分不等式问题和η−逆强单调映射的公共解的不动点来实现。数值实例表明,与文献中已有的结果相比,有一些改进。
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CiteScore
2.20
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