Generalized Halpern-type forward–backward splitting methods for convex minimization problems with application to image restoration problems

DOI10.1080/02331934.2019.1646742OpenAlexW2965608274WikidataQ113094674 ScholiaQ113094674MaRDI QIDQ5131818

D. Kitkuan, Poom Kumam, Juan Martínez Moreno

Publication date: 9 November 2020

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2019.1646742

zbMATH Keywords

Hilbert spacesmonotone operatorconvex minimization probleminclusion problemforward-backward splitting method

Mathematics Subject Classification ID

Semigroups of nonlinear operators (47H20) Monotone operators and generalizations (47H05) Iterative procedures involving nonlinear operators (47J25) Decomposition methods (49M27) Discrete approximations in optimal control (49M25) Numerical methods of relaxation type (49M20)

Related Items (9)

A new preconditioning algorithm for finding a zero of the sum of two monotone operators and its application to image restoration problems ⋮ Approximation method for monotone inclusion problems in real Banach spaces with applications ⋮ A modified inertial viscosity algorithm for an infinite family of nonexpansive mappings and its application to image restoration ⋮ Relaxed viscosity-type iterative methods with application to compressed sensing ⋮ Unnamed Item ⋮ On the convergence of splitting algorithm for mixed equilibrium problems on Hadamard manifolds ⋮ Iterative algorithm for singularities of inclusion problems in Hadamard manifolds ⋮ Splitting Algorithms for Equilibrium Problems and Inclusion Problems on Hadamard Manifolds ⋮ Generalized Hybrid Viscosity-Type Forward-Backward Splitting Method with Application to Convex Minimization and Image Restoration Problems

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