Linear Convergence Analysis for General Proximal Point Algorithms Involving (H,η)- Mo notonicity Frameworks

Linear Convergence Analysis for General Proximal Point Algorithms Involving (H,η)- Mo notonicity Frameworks

General framework for the generalized proximal point algorithm, based on the notion of (H,r)- monotonicity, is developed. The linear convergence analysis for the generalized proximal point algorithm to the context of solving a class of nonlinear variational inclusions is examined, The obtained resul...

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Bibliographic Details
Main Author: Ram U Verma
Format: Article
Language:English
Published: Universidad de La Frontera 2011-10-01
Series:Cubo
Subjects:
General cocoerciveness
Variational inclusions
Maximal monotone mapping
(H,r) - monotone mapping
Generalized proximal point algorithm
Generalized resolvent operator.
Online Access:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0719-06462011000300010

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http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0719-06462011000300010

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