Randomized metarounding

  • Authors:
  • Robert Carr;Santosh Vempala

  • Affiliations:
  • Sandia National Labs, Albuquerque, New Mexico;Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts

  • Venue:
  • Random Structures & Algorithms - Probabilistic methods in combinatorial optimization
  • Year:
  • 2002

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Abstract

Let P be a linear relaxation of an integer polytope Z such that the integrality gap of P with respect to Z is at most r, as verified by a polytime heuristic A, which on any positive cost function c returns an integer solution (an extreme point of Z) whose cost is at most r times the optimal cost over P. Then for any point x* in P (a fractional solution), rx* dominates some convex combination of extreme points of Z. A constructive version of this theorem is presented here, with applications to approximation algorithms, and can be viewed as a generalization of randomized rounding.