When is the Assignment Bound Tight for the Asymmetric Traveling-Salesman Problem?

  • Authors:
  • Alan Frieze;Richard M. Karp;Bruce Reed

  • Affiliations:
  • -;-;-

  • Venue:
  • SIAM Journal on Computing
  • Year:
  • 1995

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Abstract

We consider the probabilistic relationship between the value of a random asymmetric traveling salesman problem $ATSP(M)$ and the value of its assignment relaxation $AP(M)$. We assume here that the costs are given by an $n\times n$ matrix $M$ whose entries are independently and identically distributed. We focus on the relationship between $Pr(ATSP(M)=AP(M))$ and the probability $p_n$ that any particular entry is zero. If $np_n\rightarrow \infty$ with $n$ then we prove that $ATSP(M)=AP(M)$ with probability 1-o(1). This is shown to be best possible in the sense that if $np(n)\rightarrow c$, $c0$ and constant, then $Pr(ATSP(M)=AP(M))