Convergence of over-relaxed contraction-proximal point algorithm in Hilbert spaces

DOI10.1080/02331934.2017.1296838zbMath1400.90300OpenAlexW2601071537MaRDI QIDQ5277967

Lu-Chuan Ceng, Huanhuan Cui

Publication date: 12 July 2017

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2017.1296838

zbMATH Keywords

resolventstrong convergencemaximal monotone operatorprojectioncontraction-proximal point algorithm

Mathematics Subject Classification ID

Programming in abstract spaces (90C48)

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Cites Work

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• Convergence of generalized proximal point algorithms
• Approximating solutions of maximal monotone operators in Hilbert spaces
• On the contraction-proximal point algorithms with multi-parameters
• The contraction-proximal point algorithm with square-summable errors
• Iterative Algorithms for Nonlinear Operators
• On the Convergence of the Proximal Point Algorithm for Convex Minimization
• Monotone Operators and the Proximal Point Algorithm
• Operator-Splitting Methods for Monotone Affine Variational Inequalities, with a Parallel Application to Optimal Control
• A new accuracy criterion for approximate proximal point algorithms

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