2014Journal of Zhejiang Ocean UniversityRequires access

Iterative Approximation Problem for A Fixed Point of Nonexpansive Mappings and Variational Inequalities

Ze Hong

Open publisher page 0 citations

Abstract

In this paper, a iterative approximation scheme for a fixed point of nonexpansive mappings and variational inequalities is established in Hilbert space, and a strong convergence theorem of the iteration process is proved. The results improve and extend the corresponding results announced by many others.

About this research paper

What this paper is about

In this paper, a iterative approximation scheme for a fixed point of nonexpansive mappings and variational inequalities is established in Hilbert space, and a strong convergence theorem of the iteration process is proved. The results improve and extend the corresponding results announced by many others.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this paper, a iterative approximation scheme for a fixed point of nonexpansive mappings and variational inequalities is established in Hilbert space, and a strong convergence theorem of the iteration process is proved. The results improve and extend the corresponding results announced by many others.

Key concepts: Hilbert space, Variational inequality, Fixed point, Convergence (economics), Mathematics, Iterative and incremental development, Scheme (mathematics), Applied mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
Iterative Approximation Problem for A Fixed Point of Nonexpansive Mappings and Variational Inequalities — Research Paper | ScholarLens