Hardness of approximation and integer programming frameworks for searching for caterpillar trees

  • Authors:
  • Micheal J. Dinneen;Masoud Khosravani

  • Affiliations:
  • University of Auckland, Auckland, New Zealand;University of Auckland, Auckland, New Zealand

  • Venue:
  • CATS '11 Proceedings of the Seventeenth Computing: The Australasian Theory Symposium - Volume 119
  • Year:
  • 2011

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Abstract

We consider the problems of finding a caterpillar tree in a graph. We first prove that, unless P=NP, there is no approximation algorithms for finding a minimum spanning caterpillar in a graph within a factor of f(n); where f(n) is any polynomial time computable function of n, the order of the graph. Then we present a quadratic integer programming formulation for the problem that can be a base for a branch and cut algorithm. We also show that by using Gomory cuts iteratively, one can obtain a solution for the problem that is close to the optimal value by a factor of 1/ε, for 0