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Designing High-Quality Approximation Algorithms for Combinatorial Optimization Problems

Takao ASANO, Kenichiro IWAMA, Hideyuki TAKADA, Yoshiko YAMASHITA

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Summary :

For NP-hard combinatorial optimization problems, approximation algorithms with high performances have been proposed. In many of these algorithms, mathematical programming techniques have been used and proved to be very useful. In this survey, we present recent mathematical programming techniques as well as classic fundamental techniques, by showing how these techniques are used in designing high-quality approximation algorithms for NP-hard combinatorial optimization problems.

Publication
IEICE TRANSACTIONS on Information Vol.E83-D No.3 pp.462-479
Publication Date
2000/03/25
Publicized
Online ISSN
DOI
Type of Manuscript
INVITED SURVEY PAPER
Category
Approximate Algorithms for Combinatorial Problems

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