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An optimal randomized logarithmic time connectivity algorithm for the EREW PRAM (extended abstract)

Shay Halperin, Uri Zwick

Open publisher page 24 citations

Abstract

Improving a long chain of works we obtain a randomized EREW PRAM algorithm for finding the connected components of a graph G=(V,E) with n vertices and m edges in O(log n) time using an optimal number of O((m+n)/log n) processors. The result returned by the algorithm is always correct. The probability that the algorithm will not complete in O(log n) time is at most n-c for any desired c > 0.

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What this paper is about

Improving a long chain of works we obtain a randomized EREW PRAM algorithm for finding the connected components of a graph G=(V,E) with n vertices and m edges in O(log n) time using an optimal number of O((m+n)/log n) processors. The result returned by the algorithm is always correct. The probability that the algorithm will not complete in O(log n) time is at most n-c for any desired c > 0.

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OpenAlex reports 24 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Improving a long chain of works we obtain a randomized EREW PRAM algorithm for finding the connected components of a graph G=(V,E) with n vertices and m edges in O(log n) time using an optimal number of O((m+n)/log n) processors. The result returned by the algorithm is always correct. The probability that the algorithm will not complete in O(log n) time is at most n-c for any desired c > 0.

Key concepts: Logarithm, Binary logarithm, Randomized algorithm, Log-log plot, Computer science, Graph, Algorithm, Combinatorics

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