Approximate Nonlinear Optimization over Weighted Independence Systems

  • Authors:
  • Jon Lee;Shmuel Onn;Robert Weismantel

  • Affiliations:
  • jonlee@us.ibm.com;onn@ie.technion.ac.il;weismantel@imo.math.uni-magdeburg.de

  • Venue:
  • SIAM Journal on Discrete Mathematics
  • Year:
  • 2009

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Abstract

We consider optimizing a nonlinear objective function over a weighted independence system presented by a linear-optimization oracle. We provide an efficient algorithm that determines an $r$-best solution for nonlinear functions of the total weight of an independent set, where $r$ depends only on certain Frobenius numbers of the individual weights and is independent of the size of the ground set. In contrast, we show that finding an optimal (0-best) solution requires exponential time.