A new interpretation of the progressive hedging algorithm for multistage stochastic minimization problems

The progressive hedging algorithm of Rockafellar and Wets for multistage stochastic programming problems could be viewed as a two-block alternating direction method of multipliers. This correspondence brings in some useful results. In particular, it provides a new proof for the convergence of the pr...

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Main Authors: Sun, Jie, Xu, Honglei, Zhang, Min
Format: Journal Article
Language:English
Published: AMER INST MATHEMATICAL SCIENCES-AIMS 2020
Subjects:
Online Access:http://purl.org/au-research/grants/arc/DP160102819
http://hdl.handle.net/20.500.11937/90789
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author Sun, Jie
Xu, Honglei
Zhang, Min
author_facet Sun, Jie
Xu, Honglei
Zhang, Min
author_sort Sun, Jie
building Curtin Institutional Repository
collection Online Access
description The progressive hedging algorithm of Rockafellar and Wets for multistage stochastic programming problems could be viewed as a two-block alternating direction method of multipliers. This correspondence brings in some useful results. In particular, it provides a new proof for the convergence of the progressive hedging algorithm with a flexibility in the selection of primal and dual step lengths and it helps to develop a new progressive hedging algorithm for solving risk averse stochastic optimization problems with cross constraints.
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institution Curtin University Malaysia
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language English
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publishDate 2020
publisher AMER INST MATHEMATICAL SCIENCES-AIMS
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spelling curtin-20.500.11937-907892023-04-20T07:24:05Z A new interpretation of the progressive hedging algorithm for multistage stochastic minimization problems Sun, Jie Xu, Honglei Zhang, Min Science & Technology Technology Physical Sciences Engineering, Multidisciplinary Operations Research & Management Science Mathematics, Interdisciplinary Applications Engineering Mathematics Progressive hedging algorithm alternating direction method of multipliers multistage stochastic optimization problems stochastic variational inequalities The progressive hedging algorithm of Rockafellar and Wets for multistage stochastic programming problems could be viewed as a two-block alternating direction method of multipliers. This correspondence brings in some useful results. In particular, it provides a new proof for the convergence of the progressive hedging algorithm with a flexibility in the selection of primal and dual step lengths and it helps to develop a new progressive hedging algorithm for solving risk averse stochastic optimization problems with cross constraints. 2020 Journal Article http://hdl.handle.net/20.500.11937/90789 10.3934/jimo.2019022 English http://purl.org/au-research/grants/arc/DP160102819 AMER INST MATHEMATICAL SCIENCES-AIMS unknown
spellingShingle Science & Technology
Technology
Physical Sciences
Engineering, Multidisciplinary
Operations Research & Management Science
Mathematics, Interdisciplinary Applications
Engineering
Mathematics
Progressive hedging algorithm
alternating direction method of multipliers
multistage stochastic optimization problems
stochastic variational inequalities
Sun, Jie
Xu, Honglei
Zhang, Min
A new interpretation of the progressive hedging algorithm for multistage stochastic minimization problems
title A new interpretation of the progressive hedging algorithm for multistage stochastic minimization problems
title_full A new interpretation of the progressive hedging algorithm for multistage stochastic minimization problems
title_fullStr A new interpretation of the progressive hedging algorithm for multistage stochastic minimization problems
title_full_unstemmed A new interpretation of the progressive hedging algorithm for multistage stochastic minimization problems
title_short A new interpretation of the progressive hedging algorithm for multistage stochastic minimization problems
title_sort new interpretation of the progressive hedging algorithm for multistage stochastic minimization problems
topic Science & Technology
Technology
Physical Sciences
Engineering, Multidisciplinary
Operations Research & Management Science
Mathematics, Interdisciplinary Applications
Engineering
Mathematics
Progressive hedging algorithm
alternating direction method of multipliers
multistage stochastic optimization problems
stochastic variational inequalities
url http://purl.org/au-research/grants/arc/DP160102819
http://hdl.handle.net/20.500.11937/90789