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Article
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SIAM Journal on Computing
Article . 1979 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 1979
Data sources: DBLP
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Maximum Flow in Planar Networks

Maximum flow in planar networks
Authors: Alon Itai; Yossi Shiloach;

Maximum Flow in Planar Networks

Abstract

Efficient algorithms for finding maximum flow in planar networks are presented. These algorithms take advantage of the planarity and are superior to the most efficient algorithms to date. If the source and the terminal are on the same face, an algorithm of Berge is improved and its time complexity is reduced to $O(n\log n)$. In the general case, for a given $D > 0$ a flow of value D is found if one exists; otherwise, it is indicated that no such flow exists. This algorithm requires $O(n^2 \log n)$ time. If the network is undirected a minimum cut may be found in $O(n^2 \log n)$ time. All algorithms require $O(n)$ space.

Keywords

computational complexity, Analysis of algorithms and problem complexity, Deterministic network models in operations research, planar graph, planar networks, maximum flow, directed flow 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!
82
Top 10%
Top 1%
Top 10%
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