Two projection algorithms for solving the split common fixed point problem

From MaRDI portal
Publication:779863

DOI10.1007/s10957-020-01702-0OpenAlexW3037795422MaRDI QIDQ779863

Truong Minh Tuyen, Simeon Reich

Publication date: 14 July 2020

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10957-020-01702-0




Related Items

Ball-relaxed projection algorithms for multiple-sets split feasibility problemConvergence analysis of new inertial method for the split common null point problemA Bregman subgradient extragradient method with self-adaptive technique for solving variational inequalities in reflexive Banach spacesAccelerated cyclic iterative algorithms for the multiple-set split common fixed-point problem of quasi-nonexpansive operatorsSolving a general split equality problem without prior knowledge of operator norms in Banach spacesHierarchical variational inequality problem and split common fixed point of averaged operatorsSelf-adaptive algorithms for solving split feasibility problem with multiple output setsVariational inequalities over the solution sets of split variational inclusion problemsAn accelerate algorithm for the split equality common fixed-point problem of directed operatorsAn Approach for Solving Split Common Fixed Point Problems with Multiple Output Sets That Uses Dynamic Step SizesInertial projection and contraction methods for pseudomonotone variational inequalities with non-Lipschitz operators and applicationsProjection algorithms for solving the split feasibility problem with multiple output setsAn inertial extrapolation method for multiple-set split feasibility problemSelf adaptive inertial relaxed \(CQ\) algorithms for solving split feasibility problem with multiple output setsUnnamed ItemThe split feasibility problem with multiple output sets for demicontractive mappingsStrong convergence of inertial projection and contraction methods for pseudomonotone variational inequalities with applications to optimal control problems



Cites Work