The computational complexity of the local postage stamp problem

  • Authors:
  • Jeffrey Shallit

  • Affiliations:
  • University of Waterloo, Waterloo, Ontario, Canada N2L 3G1 and University of Arizona, P. O. Box 210077, Tucson, AZ

  • Venue:
  • ACM SIGACT News
  • Year:
  • 2002
  • The Frobenius Problem

    Proceedings of the Ninth Conference on Foundations of Software Technology and Theoretical Computer Science

Quantified Score

Hi-index 0.00

Visualization

Abstract

The well-studied local postage stamp problem (LPSP) is thefollowing: given a positive integer k, a set of positiveintegers 1 = a1 2 k and an integer h ≥ 1, what is the smallestpositive integer which cannot be represented as a linearcombinationΣ1≤i≤kx1aiwhere Σ1≤i≤kx1 ≤ h andeach xi is a non-negative integer? In this notewe prove that LPSP is NP-hard under Turing reductions, but can besolved in polynomial time if k is fixed.