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Article
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SIAM Journal on Computing
Article . 1979 . Peer-reviewed
Data sources: Crossref
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Article . 1979
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Bottlenecks and Edge Connectivity in Unsymmetrical Networks

Bottlenecks and edge connectivity in unsymmetrical networks
Authors: Claus-Peter Schnorr;

Bottlenecks and Edge Connectivity in Unsymmetrical Networks

Abstract

Let $F_{u,v} $ be the maximal flow from u to v in a network $\mathcal{N} = (V,E,c)$. We construct the matrix ($\min \{ F_{u,v} ,F_{v,u} \} |u,v \in V$) by solving $|V|\log 2|V|$ individual max-flow problems for $\mathcal{N}$. There is a tree network $\mathcal{N} = (V,\bar E,\bar c)$ that stores minimal cuts corresponding to min $\{ F_{u,v,} F_{v,u} \} $ for all $u,v$. $\bar{\mathcal{N}}$ can be constructed by solving $|V|\log 2|V|$ individual max flow problems for the given network which can be done within $O(|V|^4 )$ steps using the Dinic–Karzanov algorithm. We design an algorithm that computes the edge connectivity k of a directed graph within $O(k\cdot |E|\cdot |V|)$ steps.

Keywords

computational complexity, Analysis of algorithms and problem complexity, edge connectivity, Programming involving graphs or networks, directed graph, Gomory-Hu algorithm, Graphs and abstract algebra (groups, rings, fields, etc.), minimum cut, multiterminal network flow, Graph theory (including graph drawing) in computer science, Deterministic network models in operations research, maximum flow matrix

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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!
28
Top 10%
Top 1%
Average
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