Global price updates help:

Abstract: "Periodic global updates of dual variables have been shown to yield a susbtantial speed advantage in implementations of push- relabel algorithms for the maximum flow and minimum cost flow problems. In this paper, we show that in the context of the bipartite matching and assignment pro...

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Bibliographische Detailangaben
Hauptverfasser: Goldberg, Andrew V. (VerfasserIn), Kennedy, Robert (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Stanford, Calif. 1994
Schriftenreihe:Stanford University / Computer Science Department: Report STAN-CS 1509
Schlagworte:
Zusammenfassung:Abstract: "Periodic global updates of dual variables have been shown to yield a susbtantial speed advantage in implementations of push- relabel algorithms for the maximum flow and minimum cost flow problems. In this paper, we show that in the context of the bipartite matching and assignment problems, global updates yield a theoretical improvement as well. For bipartite matching, a push-relabel algorithm that matches the best bound when global updates are used achieves a bound that is worse by a factor of [square root of n] without the updates. A similar result holds for the assignment problem."
Beschreibung:16 S. graph. Darst.

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