The parallel complexity of tree embedding problems

ISSN: 16113349
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Abstract

The sequential complexity of various tree embedding problems arises in the recent work by Robertson and Seymour on graph minors; here we consider the parallel complexity of such problems. In particular, we present two CREW PRAM algorithms: an O(n4.5)-processor O(log3n) time randomized algorithm for determining whether there is a topological embedding of one tree in another and an O(n4.5)-processor O(log3n log log n) time randomized algorithm for determining whether or not a tree with a degree constraint is a minor of a general tree. These algorithms are two examples of a general technique that can be used for solving other problems on trees. One by-product of this technique is an NC reduction of tree problems to matching problems.

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APA

Gupta, A., & Nishimura, N. (1992). The parallel complexity of tree embedding problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 577 LNCS, pp. 21–32). Springer Verlag.

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