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Approximating MAX kCSP - Outperforming a random assignment with almost a linear factor
KTH, School of Computer Science and Communication (CSC), Numerical Analysis and Computer Science, NADA.
2005 (English)In: AUTOMATA, LANGUAGES AND PROGRAMMING, PROCEEDINGS / [ed] Caires, L; Italiano, GE; Monteiro, L; Palamidessi, C; Yung, M, 2005, Vol. 3580, 956-968 p.Conference paper, Published paper (Refereed)
Abstract [en]

An instance Of MAx kCSP consists of weighted k-ary constraints acting over a set of Boolean variables. The objective is to find an assignment to the Boolean variables such that the total weight of satisfied constraints is maximized. In this paper we provide a probabilistical polynomial time approximation algorithm that c(0)k(log k)(-1)2(-k)- approximates MAx kCSP, for a constant c(0) > 0.

Place, publisher, year, edition, pages
2005. Vol. 3580, 956-968 p.
Series
LECTURE NOTES IN COMPUTER SCIENCE, ISSN 0302-9743 ; 3580
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-42732ISI: 000230880500077Scopus ID: 2-s2.0-26444605774ISBN: 3-540-27580-0 (print)OAI: oai:DiVA.org:kth-42732DiVA: diva2:448064
Conference
32nd International Colloquium on Automata, Languages and Programming (ICALP 2005) Location: Lisbon, PORTUGAL Date: JUL 11-15, 2005
Note
QC 20111014Available from: 2011-10-14 Created: 2011-10-12 Last updated: 2011-10-14Bibliographically approved

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  • apa
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  • nn-NB
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  • Other locale
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Output format
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