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A probabilistic upper bound for the edge identification complexity of graphs

✍ Scribed by Eberhard Triesch


Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
344 KB
Volume
125
Category
Article
ISSN
0012-365X

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✦ Synopsis


Given a finite graph G=( V, E), what is the minimum number c(G) of incidence tests which are needed in the worst case to identify an unknown edge e*EE? The number c(G) was first studied by Aigner and Triesch (1988), where it was shown that for almost all graphs in the random graph model

where d(n)=(21ogn/log(l/l-p))+O(loglogn). We prove that for each q <+, almost all graphs satisfy c(G)<n-qd(n).


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