How well can primal-dual and local-ratio algorithms perform?

  • Authors:
  • Allan Borodin;David Cashman;Avner Magen

  • Affiliations:
  • University of Toronto, Canada;Altera Corporation, Canada;University of Toronto, Canada

  • Venue:
  • ACM Transactions on Algorithms (TALG)
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

We define an algorithmic paradigm, the stack model, that captures many primal-dual and local-ratio algorithms for approximating covering and packing problems. The stack model is defined syntactically and without any complexity limitations and hence our approximation bounds are independent of the P versus NP question. Using the stack model, we bound the performance of a broad class of primal-dual and local-ratio algorithms and supply a (log n+1)/2 inapproximability result for set cover, a 4/3 inapproximability for min Steiner tree, and a 0.913 inapproximability for interval scheduling on two machines.