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Article . 1981 . Peer-reviewed
License: Wiley Online Library User Agreement
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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
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Article . 1981
Data sources: DBLP
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A shortest augmenting path method for solving minimal perfect matching problems

Authors: Ulrich Derigs;

A shortest augmenting path method for solving minimal perfect matching problems

Abstract

AbstractAn efficient procedure for solving minimum weight perfect matching problems is presented. Starting from the empty matching the optimal matching is constructed by successively augmenting along shortest augmenting paths. Such paths can be determined via a special labeling technique. The algorithm is motivated by purely combinatorially natured optimality criteria using the concept of admissible transformations of the cost coefficients. We report on some experience with computer implementations of two different versions of this method and an implementation of Edmonds' BLOSSOM‐algorithm which makes use of Lawler's labeling technique. Though all three methods are comparable with respect to computational complexity the results indicate that the shortest augmenting path method is superior with respect to running time and that even larger problems may be solved in a reasonable amount of time.

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Keywords

Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), Graph theory (including graph drawing) in computer science, matching, shortest augmenting paths, Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.)

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    influence
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Powered by OpenAIRE graph
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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!
48
Top 10%
Top 1%
Top 10%
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