Subadditive Euclidean Functionals and Nonlinear Growth in Geometric Probability

Type: Article

Publication Date: 1981-06-01

Citations: 180

DOI: https://doi.org/10.1214/aop/1176994411

Abstract

A limit theorem is established for a class of random processes (called here subadditive Euclidean functionals) which arise in problems of geometric probability. Particular examples include the length of shortest path through a random sample, the length of a rectilinear Steiner tree spanned by a sample, and the length of a minimal matching. Also, a uniform convergence theorem is proved which is needed in Karp's probabilistic algorithm for the traveling salesman problem.

Locations

  • The Annals of Probability - View - PDF
  • ScholarlyCommons (University of Pennsylvania) - View - PDF

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