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A lower bound on the complexity of regional matchings on the hypercube

Author: Gil Kalai; Larry Stockmeyer
Publisher: Yorktown Heights, N.Y. : IBM Research Division, [1991]
Series: International Business Machines Corporation.; Research Division.; Research report
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
Abstract: "As defined by Awerbuch and Peleg, an m-regional matching for a graph G = (V, E) is a family of sets R(u), W(u) [subset of] V for u [member of] V, such that if the distance between vertices v and w is at most m then R(v) intersects W(w). We define a probabilistic generalization of a regional matching, and prove a lower bound on the complexity of any m-regional matching for the hypercube graph, where the  Read more...
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Details

Document Type: Book
All Authors / Contributors: Gil Kalai; Larry Stockmeyer
OCLC Number: 32046550
Notes: "November 1, 1991."
Description: 13 pages ; 28 cm.
Series Title: International Business Machines Corporation.; Research Division.; Research report
Responsibility: Gil Kalai, Larry Stockmeyer.

Abstract:

Abstract: "As defined by Awerbuch and Peleg, an m-regional matching for a graph G = (V, E) is a family of sets R(u), W(u) [subset of] V for u [member of] V, such that if the distance between vertices v and w is at most m then R(v) intersects W(w). We define a probabilistic generalization of a regional matching, and prove a lower bound on the complexity of any m-regional matching for the hypercube graph, where the complexity is measured in terms of the maximum size and radius of the sets R(u) and W(u). We use this lower bound to give a lower bound on the communication complexity of any probabilistic algorithm for the problem of on-line tracking of a mobile user on the hypercube. In the course of proving the lower bound on the complexity of regional matchings, we consider a generalization of the vertex isoperimetric problem on the cube."
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