The Elicited Progressive Decoupling Algorithm: A Note on the Rate of Convergence and a Preliminary Numerical Experiment on the Choice of Parameters

The paper studies the progressive decoupling algorithm (PDA) of Rockafellar and focuses on the elicited version of the algorithm. Based on a generalized Yosida-regularization of Spingarn’s partial inverse of an elicitable operator, it is shown that the elicited progressive decoupling algorithm (EPDA...

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Main Authors: Sun, Jie, Zhang, M.
Format: Journal Article
Language:English
Published: SPRINGER 2021
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/91426
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author Sun, Jie
Zhang, M.
author_facet Sun, Jie
Zhang, M.
author_sort Sun, Jie
building Curtin Institutional Repository
collection Online Access
description The paper studies the progressive decoupling algorithm (PDA) of Rockafellar and focuses on the elicited version of the algorithm. Based on a generalized Yosida-regularization of Spingarn’s partial inverse of an elicitable operator, it is shown that the elicited progressive decoupling algorithm (EPDA), in a particular nonmonotone setting, linearly converges at a rate that could be viewed as the rate of a rescaled PDA, which may provide certain guidance to the selection of the parameters in computational practice. A preliminary numerical experiment shows that the choice of the elicitation constant has an impact on the efficiency of the EPDA. It is also observed that the influence of the elicitation constant is generally weaker than the proximal constant in the algorithm.
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spelling curtin-20.500.11937-914262023-05-03T07:42:01Z The Elicited Progressive Decoupling Algorithm: A Note on the Rate of Convergence and a Preliminary Numerical Experiment on the Choice of Parameters Sun, Jie Zhang, M. Science & Technology Physical Sciences Mathematics, Applied Mathematics Proximal point algorithm Progressive decoupling algorithm Stochastic variational inequality PROXIMAL POINT ALGORITHM MONOTONE OPERATORS The paper studies the progressive decoupling algorithm (PDA) of Rockafellar and focuses on the elicited version of the algorithm. Based on a generalized Yosida-regularization of Spingarn’s partial inverse of an elicitable operator, it is shown that the elicited progressive decoupling algorithm (EPDA), in a particular nonmonotone setting, linearly converges at a rate that could be viewed as the rate of a rescaled PDA, which may provide certain guidance to the selection of the parameters in computational practice. A preliminary numerical experiment shows that the choice of the elicitation constant has an impact on the efficiency of the EPDA. It is also observed that the influence of the elicitation constant is generally weaker than the proximal constant in the algorithm. 2021 Journal Article http://hdl.handle.net/20.500.11937/91426 10.1007/s11228-021-00613-0 English SPRINGER fulltext
spellingShingle Science & Technology
Physical Sciences
Mathematics, Applied
Mathematics
Proximal point algorithm
Progressive decoupling algorithm
Stochastic variational inequality
PROXIMAL POINT ALGORITHM
MONOTONE
OPERATORS
Sun, Jie
Zhang, M.
The Elicited Progressive Decoupling Algorithm: A Note on the Rate of Convergence and a Preliminary Numerical Experiment on the Choice of Parameters
title The Elicited Progressive Decoupling Algorithm: A Note on the Rate of Convergence and a Preliminary Numerical Experiment on the Choice of Parameters
title_full The Elicited Progressive Decoupling Algorithm: A Note on the Rate of Convergence and a Preliminary Numerical Experiment on the Choice of Parameters
title_fullStr The Elicited Progressive Decoupling Algorithm: A Note on the Rate of Convergence and a Preliminary Numerical Experiment on the Choice of Parameters
title_full_unstemmed The Elicited Progressive Decoupling Algorithm: A Note on the Rate of Convergence and a Preliminary Numerical Experiment on the Choice of Parameters
title_short The Elicited Progressive Decoupling Algorithm: A Note on the Rate of Convergence and a Preliminary Numerical Experiment on the Choice of Parameters
title_sort elicited progressive decoupling algorithm: a note on the rate of convergence and a preliminary numerical experiment on the choice of parameters
topic Science & Technology
Physical Sciences
Mathematics, Applied
Mathematics
Proximal point algorithm
Progressive decoupling algorithm
Stochastic variational inequality
PROXIMAL POINT ALGORITHM
MONOTONE
OPERATORS
url http://hdl.handle.net/20.500.11937/91426