APPLICATION OF SIMULTANEOUS APPROXIMATION IN COMBINATORIAL OPTIMIZATION.

Andras Frank, Eva Tardos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

The authors present a preprocessing algorithm to make certain polynomial algorithms strongly polynomial. The running time of some of the known combinatorial optimization algorithms depends on the size of the objective function w. The preprocessing algorithm replaces w by an integral valued w OVER BAR whose size is polynomially bounded in the size of the combinatorial structure and which yields the same set of optimal solutions as w. It is shown how existing polynomial algorithms for finding the maximum-weight clique in a perfect graph and for the minimum cost submodular flow problem can be made strongly polynomial.

Original languageEnglish
Title of host publicationAnnual Symposium on Foundations of Computer Science (Proceedings)
PublisherIEEE
Pages459-463
Number of pages5
ISBN (Print)0818606444, 9780818606441
DOIs
Publication statusPublished - Jan 1 1985

Publication series

NameAnnual Symposium on Foundations of Computer Science (Proceedings)
ISSN (Print)0272-5428

ASJC Scopus subject areas

  • Hardware and Architecture

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  • Cite this

    Frank, A., & Tardos, E. (1985). APPLICATION OF SIMULTANEOUS APPROXIMATION IN COMBINATORIAL OPTIMIZATION. In Annual Symposium on Foundations of Computer Science (Proceedings) (pp. 459-463). (Annual Symposium on Foundations of Computer Science (Proceedings)). IEEE. https://doi.org/10.1109/sfcs.1985.8