Presentation 2006-03-23
Increasing the Success Probability of PPSZ-type Satisfiability Testing
Kazuo IWAMA, Suguru TAMAKI,
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Abstract(in English) Recently, [Iwama, Tamaki, SODA04] gave a new worst-case upper bound for 3SAT by modifying the PPSZ-type algorithm in [Paturi et. al., FOCS98] by making use of the local-search-type one in [Schoning, Algorithmica 02]. We propose a different kind of modification in this paper. Recall that the analysis of the first algorithm (denoted by PPSZ) assumes that each bit of the initial assignment coincides that of a satisfying assignment with probability one half. Our idea is that if we can increase this probability, i.e., if we can use a "better" initial assignment, then the success probability of PPSZ should increase. To get this better assignment we use the second algorithm (denoted by SCH). Note that the local search starts with a random assignment and gradually approaches to a satisfying assignment z. In the middle of this process, there should be the moment that the current assignment a^* is close to z and to use PPSZ with this assignment a^* has a better success probability than to continue SCH. In this paper we prove that this conjecture is true under some assumption on the uniformity of probability.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) CNF Satisfiability / Probabilistic Algorithm / Complexity
Paper # COMP2005-63
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Committee COMP
Conference Date 2006/3/16(1days)
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Registration To Theoretical Foundations of Computing (COMP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Increasing the Success Probability of PPSZ-type Satisfiability Testing
Sub Title (in English)
Keyword(1) CNF Satisfiability
Keyword(2) Probabilistic Algorithm
Keyword(3) Complexity
1st Author's Name Kazuo IWAMA
1st Author's Affiliation School of Informatics, Kyoto University()
2nd Author's Name Suguru TAMAKI
2nd Author's Affiliation School of Informatics, Kyoto University
Date 2006-03-23
Paper # COMP2005-63
Volume (vol) vol.105
Number (no) 680
Page pp.pp.-
#Pages 6
Date of Issue