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On augmented Lagrangian decomposition methods for multistage stochastic programs

descriptionPublicationkeyboard_double_arrow_right Article , Research , Book 01 Dec 1996 Austria English Publisher:Springer Science and Business Media LLCJournal:Annals of Operations Research, volume 64, pages 289-309 (issn: 0254-5330, eissn: 1572-9338, Copyright policy )
Authors: Rosa, C.H.; Ruszczynski, A.;

doi: 10.1007/bf02187650

On augmented Lagrangian decomposition methods for multistage stochastic programs

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country
Austria
Related Organizations
Keywords

Convex programming, decomposition, Stochastic programming, large convex optimization, augmented Lagrangians, Jacobi method, parallel computation, multistage stochastic programming, 510, 004

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Average
bronze