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Mathematical Methods of Operations Research
Article . 1991 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 1991
Data sources: zbMATH Open
DBLP
Article . 1991
Data sources: DBLP
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A characterization of network representable polymatroids

Authors: Wolfgang W. Bein; Peter Brucker; Matthias F. M. Stallmann;

A characterization of network representable polymatroids

Abstract

Summary: \textit{N. Meggido} [Math. Program. 7, 97-107 (1974; Zbl 0296.90048)] showed that the maximum flow through sets of sources in a multiple sink flow network is a polymatroidal function. Recently, \textit{A. Federgruen} and \textit{H. Groenevelt} [``Polymatroidal network flow models with multiple sinks: Transformation to standard network models'', Res. Rep., Grad. School Business, Columbia Univ. 1985; Manage. Sci. 32, 341-349 (1986; Zbl 0603.90071)] have considered polymatroids that can be represented by a multiple source flow network and have improved the running time of an important scheduling application. We give a characterization of network representability and relate representable polymatroids to the theory of grammoids.

Keywords

multiple sink flow network, polymatroidal function, grammoids, Special polytopes (linear programming, centrally symmetric, etc.), Deterministic network models in operations research, Programming involving graphs or networks, Combinatorial aspects of matroids and geometric lattices

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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!
0
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