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Mathematical Programming
Article . 1997 . 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 . 1997
Data sources: zbMATH Open
DBLP
Article . 1997
Data sources: DBLP
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A new strongly polynomial dual network simplex algorithm

Authors: Armstrong, Ronald D.; Jin, Zhiying;

A new strongly polynomial dual network simplex algorithm

Abstract

This paper presents a new dual network simplex algorithm for the minimum cost network flow problem. The algorithm works directly on the original capacitated network and runs in O(mn(m + n log n) log n) time for the network with n nodes and m arcs. This complexity is better than the complexity of Orlin, Plotkin and Tardos' (1993) dual network simplex algorithm by a factor of m/n..

Country
Spain
Keywords

Dual simplex algorithm, dual network simplex algorithm, minimum cost network flow, Network simplex algorithm, Deterministic network models in operations research, Minimum cost network flow problem, Abstract computational complexity for mathematical programming problems

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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!
15
Average
Top 10%
Top 10%
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