Abstract

The aim of this paper is to formulate and analyze a cyclic iterative algorithm in real Hilbert spaces which converges strongly to a common solution of fixed point problem and multiple-sets split common fixed point problem involving demicontractive operators without prior knowledge of operator norm. Significance and range of applicability of our algorithm has been shown by solving the problem of multiple-sets split common null point, multiple-sets split feasibility, multiple-sets split variational inequality, multiple-sets split equilibrium and multiple-sets split monotone variational inclusion.

Highlights

  • In 1994, Censor et al [1] firstly suggested the split feasibility problem (SFP) for modelling inverse problems

  • In this paper, inspired and motivated by above work, we present a new cyclic iterative scheme without prior knowledge of operator norm and prove its strong convergence for approximating a common solution of fixed point problem and multiple-sets split common fixed point problem for demicontractive operators in real Hilbert spaces

  • Consider B : H1 → 2 H1 and F : H2 → 2 H2 two set valued operators defined on Hilbert spaces H1 and H2 respectively and A : H1 → H2 is a bounded linear operator, split common null point problem (SCNPP) is to identify z∗ ∈ H1 such that 0 ∈ B(z∗ ) and y∗ = Az∗ solves 0 ∈ F (y∗ )

Read more

Summary

A Cyclic Iterative Algorithm for Multiple-Sets Split Common

Nishu Gupta 1,† , Mihai Postolache 2,3,4,5, *,† , Ashish Nandal 6,† and Renu Chugh 7,†. Iacob Institute of Mathematical Statistics and Applied Mathematics, Romanian Academy, 050711 Bucharest, Romania.

Introduction
Preliminaries
Main Result
Multiple-Sets Split Common Null Point Problem
Multiple-Sets Split Feasibility Problem
Multiple-Sets Split Variational Inequality Problem
Multiple-Sets Split Equilibrium Problem
Multiple-Sets Split Monotone Variational Inclusion Problem
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.