Sublinear-time parallel algorithms for matching and related problems:
Gespeichert in:
Bibliographische Detailangaben
Beteiligte Personen: Goldberg, Andrew V. (VerfasserIn), Plotkin, Serge A. (VerfasserIn), Vaidya, Pravin M. (VerfasserIn)
Format: Buch
Sprache:Englisch
Veröffentlicht: Cambridge, Mass. Lab. for Computer Science, Massachusetts Inst. of Technology 1988
Schlagwörter:
Abstract:This paper presents the first sublinear-time deterministic parallel algorithms for bipartite matching and several related problems, including maximal node-disjoint paths, depth-first search, and flows in zero-one networks. Our results are based on a better understanding of the combinatorial structure of the above problems, which leads to new algorithmic techniques. In particular, we show how to use maximal matching to extend, in parallel, a current set of node-disjoint paths and how to take advantage of the parallelism that arises when a large number of nodes are active during an execution of a push/relabel network flow algorithm. We also show how to apply our techniques to design parallel algorithms for the weighted versions of the above problems. In particular, we present sublinear-time deterministic parallel algorithms for dining a minimum-weight bipartite matching and for finding a minimum-cost flow in a network with zero-one capacities, if the weights are polynomially bounded integers. Keywords: Network flows. (KR).
Umfang:25 S.