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Detecting resilient structures in stochastic networks: A two‐stage stochastic optimization approach

Detecting resilient structures in stochastic networks: a two-stage stochastic optimization approach
Authors: Maciej Rysz; Pavlo A. Krokhmal; Eduardo L. Pasiliao;

Detecting resilient structures in stochastic networks: A two‐stage stochastic optimization approach

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country
Italy
Keywords

maximum subgraph problem, stochastic graphs, Computer Networks and Communications, combinatorial branch-and-bound algorithm, Stochastic programming, two-stage stochastic optimization, Programming involving graphs or networks, resilience of subgraphs, stochastic maximum clique problem, Hardware and Architecture, Deterministic network models in operations research, Polyhedral combinatorics, branch-and-bound, branch-and-cut, Software, Information Systems

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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).
    8
    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).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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!
8
Top 10%
Average
Average
Green
hybrid