Relaxed two points projection method for solving the multiple-sets split equality problem

DOI10.1007/s11075-017-0375-0zbMath1391.49064OpenAlexW2738162455MaRDI QIDQ1751068

Yan Gao, Jian Yao, Ya-Zheng Dang

Publication date: 23 May 2018

Published in: Numerical Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11075-017-0375-0

zbMATH Keywords

convergenceHilbert spacemultiple-sets split equality problemrelaxed two points projection method

Mathematics Subject Classification ID

Numerical methods based on nonlinear programming (49M37) Numerical solutions to equations with linear operators (65J10) Numerical methods for variational inequalities and related problems (65K15)

Related Items (7)

Ball-relaxed projection algorithms for multiple-sets split feasibility problem ⋮ A new method for solving split equality problems via projection dynamical systems ⋮ Relaxed successive projection algorithm with strong convergence for the multiple-sets split equality problem ⋮ A relaxed self-adaptive projection algorithm for solving the multiple-sets split equality problem ⋮ Self-adaptive algorithms for solving split feasibility problem with multiple output sets ⋮ A new iterative algorithm for the multiple-sets split feasibility problem and the split equality fixed point problem ⋮ An inertial triple-projection algorithm for solving the split feasibility problem

Cites Work

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• Perturbed projections and subgradient projections for the multiple-sets split feasibility problem
• A relaxed alternating CQ-algorithm for convex feasibility problems
• The strong convergence of a KM–CQ-like algorithm for a split feasibility problem
• The multiple-sets split feasibility problem and its applications for inverse problems
• A self-adaptive projection method for solving the multiple-sets split feasibility problem
• On Projection Algorithms for Solving Convex Feasibility Problems
• The relaxed CQ algorithm solving the split feasibility problem
• Convex analysis and monotone operator theory in Hilbert spaces

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