Greedy approximation via duality for packing, combinatorial auctions and routing

Research output: Contribution to journalConference articlepeer-review

22 Scopus citations

Abstract

We study simple greedy approximation algorithms for general class of integer packing problems. We provide a novel analysis based on the duality theory of linear programming. This enables to significantly improve on the approximation ratios of these greedy methods, and gives a unified analysis of greedy for many packing problems. We show matching lower bounds on the ratios of such greedy methods. Applications to some specific problems, including mechanism design for combinatorial auctions, are also shown.

Original languageEnglish (US)
Pages (from-to)615-627
Number of pages13
JournalLecture Notes in Computer Science
Volume3618
DOIs
StatePublished - 2005
Externally publishedYes
Event30th International Symposium on Mathematical Foundations of Computer Science 2005, MFCS 2005 - Gdansk, Poland
Duration: Aug 29 2005Sep 2 2005

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Greedy approximation via duality for packing, combinatorial auctions and routing'. Together they form a unique fingerprint.

Cite this