
doi: 10.1002/rsa.20141
AbstractThe minimal weight of the shortest path tree in a complete graph with independent and exponential (mean 1) random link weights is shown to converge to a Gaussian distribution. We prove a conditional central limit theorem and show that the condition holds with probability converging to 1. © 2006 Wiley Periodicals, Inc. Random Struct. Alg., 2007
Graph algorithms (graph-theoretic aspects), probability, Gaussian distribution, central limit theorem, Central limit and other weak theorems, random link weights, Trees
Graph algorithms (graph-theoretic aspects), probability, Gaussian distribution, central limit theorem, Central limit and other weak theorems, random link weights, Trees
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