Proceedings of 1993 IEEE 34th Annual Foundations of Computer Science
DOI: 10.1109/sfcs.1993.366822
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Fast algorithms for constructing t-spanners and paths with stretch t

Abstract: The distance between two vertices in a weighted graph is the weight of a minimum-weight path between them. A path has stretch t if its weight is at most t times the distance between its end points. We consider a weighted undirected graph G = (V, E) and present algorithms that compute paths with stretch 2 5 t 5 log n.We present a q((m + k)n('+')lt) time randomized algorithm that finds paths between k specified pairs of vertices and a O ( ( m + ns)n2(1t10&-mtc)/t) deterministic algorithm that finds paths from s … Show more

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Cited by 69 publications
(94 citation statements)
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“…2 The underlying network and capacities are arbitrary. As we will later see, uniform multicommodity flow problems arise in many important applications and their structure is sufficiently robust that the methods that we develop in this paper have already proven useful in the study of more general multicommodity flow problems [Klein et al 1989;1993;Garg et al 1996;Plotkin and Tardos 1993].…”
Section: Our Max-flow Min-cut Resultsmentioning
confidence: 89%
“…2 The underlying network and capacities are arbitrary. As we will later see, uniform multicommodity flow problems arise in many important applications and their structure is sufficiently robust that the methods that we develop in this paper have already proven useful in the study of more general multicommodity flow problems [Klein et al 1989;1993;Garg et al 1996;Plotkin and Tardos 1993].…”
Section: Our Max-flow Min-cut Resultsmentioning
confidence: 89%
“…The latter requirement guarantees that any two points of the metric space will be connected in T by a path that consists of only a small number of edges or hops. This guarantee turns out to be particularly important for routing [37,1], computing almost shortest paths [22,23], and in other applications. Another parameter that plays an important role in many applications is the maximum (vertex) degree of the constructed tree [6,14,8,37].…”
Section: Background and Main Resultsmentioning
confidence: 99%
“…There are also typically close upper and lower bounds on the radius of each cluster. Just a few of the clustering algorithms with this sort of behavior can be found in [AP92,Coh93,PR10].…”
Section: Graph Clusteringmentioning
confidence: 99%