Presentation 1993/5/27
Approximation Algorithms for DNF under Distributions with Limited Independence
Kazuyuki Amano, Akira Maruoka,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper we investigate the problem of approximating the fraction of truth assignments that satisfy a formula with some restricted form of DNF under distributions with limited independence between random variables.Let F be a DNF formula on n variables with m clauses in which each literal appears at most once.We prove if D is 「k log m」-wise independent then |Pr_D£F!- Pr _U£F!|【less than or equal】(1, 2)^Ω(k)>,where U denotes the uni form distribution,Pr_D£F! denotes the probability that F is satisf ied by a truth assignment chosen according to distribution D and similar for Pr_U£F!.It follows from this result,for formulas satis fying the restriction described above,we also prove that for any constant c that there exist a probability distribution D such that |Pr_D£F!- Pr_U£F!|【less than or equal】c holds and the size of t he sample space of D is polynomial in log n and m.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) DNF formula / deterministic algorithm / limited independence / probability distribution
Paper # COMP93-13,SS93-7
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Conference Information
Committee COMP
Conference Date 1993/5/27(1days)
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Paper Information
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) Approximation Algorithms for DNF under Distributions with Limited Independence
Sub Title (in English)
Keyword(1) DNF formula
Keyword(2) deterministic algorithm
Keyword(3) limited independence
Keyword(4) probability distribution
1st Author's Name Kazuyuki Amano
1st Author's Affiliation Graduate School of Information Sciences,Tohoku University()
2nd Author's Name Akira Maruoka
2nd Author's Affiliation Graduate School of Information Sciences,Tohoku University
Date 1993/5/27
Paper # COMP93-13,SS93-7
Volume (vol) vol.93
Number (no) 81
Page pp.pp.-
#Pages 8
Date of Issue