Viscosity modification with parallel inertial two steps forward-backward splitting methods for inclusion problems applied to signal recovery

DOI10.1016/j.chaos.2022.111858zbMath1498.65075OpenAlexW4212878115MaRDI QIDQ2098640

Watcharaporn Cholamjiak, Hemen Dutta

Publication date: 18 November 2022

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2022.111858

zbMATH Keywords

signal recoveryparallel algorithmviscosity methodforward-backward algorithminclusion probleminertial method

Mathematics Subject Classification ID

Iterative procedures involving nonlinear operators (47J25) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Parallel numerical computation (65Y05) Numerical solutions to equations with nonlinear operators (65J15)

Related Items (2)

Strongly convergent inertial proximal point algorithm without on-line rule ⋮ Strongly convergent inertial forward-backward-forward algorithm without on-line rule for variational inequalities

Cites Work

• Unnamed Item
• Solving the variational inequality problem defined on intersection of finite level sets
• Forward-backward splitting methods for accretive operators in Banach spaces
• Inertial iterative process for fixed points of certain quasi-nonexpansive mappings
• An inertial forward-backward algorithm for monotone inclusions
• Ergodic convergence to a zero of the sum of monotone operators in Hilbert space
• An inertial forward-backward splitting method for solving inclusion problems in Hilbert spaces
• Convergence of a splitting inertial proximal method for monotone operators
• Viscosity approximation methods for nonexpansive mappings
• Strong convergence analysis of common variational inclusion problems involving an inertial parallel monotone hybrid method for a novel application to image restoration
• Monotone Operators and the Proximal Point Algorithm
• A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings
• Signal Recovery by Proximal Forward-Backward Splitting
• Some methods of speeding up the convergence of iteration methods
• A Weak-to-Strong Convergence Principle for Fejér-Monotone Methods in Hilbert Spaces
• Convex analysis and monotone operator theory in Hilbert spaces

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