Minimizing weighted completion time on a single machine

Chandra Chekuri, Rajeev Motwani

Research output: Contribution to conferencePaperpeer-review

Abstract

An efficient combinatorial 2 approximation problem is developed to minimize weighted completion time on a single machine. The algorithm is based on solving minimum cuts, and hence is more efficient. Further, combined with a conversion algorithm, efficient combinatorial algorithms are obtained for several single and parallel machine variants in a unified way. A factor 2 integrality gap for the linear ordering relaxation is shown.

Original languageEnglish (US)
PagesS873-S874
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 10th Annual ACM-SIAM Symposium on Discrete Algorithms - Baltimore, MD, USA
Duration: Jan 17 1999Jan 19 1999

Other

OtherProceedings of the 1999 10th Annual ACM-SIAM Symposium on Discrete Algorithms
CityBaltimore, MD, USA
Period1/17/991/19/99

ASJC Scopus subject areas

  • Software
  • General Mathematics

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