A relaxed inertial and viscosity method for split feasibility problem and applications to image recovery

DOI10.1007/s10898-022-01246-9OpenAlexW4306164256MaRDI QIDQ6064039

Y. J. Wang, Hai-Tao Che, Yaru Zhuang, Hai-Bin Chen

Publication date: 8 November 2023

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10898-022-01246-9

zbMATH Keywords

convergenceimage recoverysplit feasibility problemsparse reconstructioninertial extrapolation

Mathematics Subject Classification ID

Numerical computation of solutions to systems of equations (65H10) Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming) (90C33) Contraction-type mappings, nonexpansive mappings, (A)-proper mappings, etc. (47H09)

Cites Work

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• Acceleration of the Halpern algorithm to search for a fixed point of a nonexpansive mapping
• Strong convergence of projected subgradient methods for nonsmooth and nonstrictly convex minimization
• A multiprojection algorithm using Bregman projections in a product space
• On variable-step relaxed projection algorithm for variational inequalities
• Inertial relaxed \textit{CQ} algorithms for solving a split feasibility problem in Hilbert spaces
• A Barzilai-Borwein gradient projection method for sparse signal and blurred image restoration
• A general iterative method for nonexpansive mappings in Hilbert spaces
• Inertial accelerated algorithms for solving a split feasibility problem
• Iterative Algorithms for Nonlinear Operators
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• Projected gradient methods for linearly constrained problems
• Numerical Optimization
• Iterative oblique projection onto convex sets and the split feasibility problem
• Inertial self‐adaptive algorithm for solving split feasible problems with applications to image restoration
• Some methods of speeding up the convergence of iteration methods

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