Strong convergence of a regularization method for Rockafellar's proximal point algorithm
type: Item
instance of: scholarly article
title: Strong convergence of a regularization method for Rockafellar's proximal point algorithm
zbMATH Open document ID: 1288.90127
author: Chang-An Tian
author: Yisheng Song
published in: Journal of Global Optimization
publication date: 2013-03-25T00:00:00Z
Mathematics Subject Classification ID: 90C51
Mathematics Subject Classification ID: 90C48
zbMATH DE Number: 6148653
zbMATH Keywords: monotone operator
zbMATH Keywords: projection
zbMATH Keywords: proximal point algorithm
zbMATH Keywords: regularization method
MaRDI profile type: Publication
full work available at URL: s10898-011-9827-6
OpenAlex ID: W2078011413
cites work: Q3782303
cites work: Strong and weak convergence of the modified proximal point algorithms in Hilbert space
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cites work: Ishikawa and Mann iterative process with errors for nonlinear strongly accretive mappings in Banach spaces
cites work: Q3888020
cites work: Monotone Operators and the Proximal Point Algorithm
cites work: A note on a paper ``A regularization method for the proximal point algorithm''
cites work: Nonlinear functional analysis. Fixed point theory and its applications
cites work: A regularization method for the proximal point algorithm
cites work: An iterative approach to quadratic optimization
cites work: Iterative Algorithms for Nonlinear Operators
cites work: Q3706043
DOI: 10.1007/S10898-011-9827-6
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description: scientific article; zbMATH DE number 6148653