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On deterministic approximation of DNF
Authors:M Luby  B Veličković
Affiliation:(1) International Computer Science Institute, Berkeley;(2) University of California, 94720 Berkeley, CA, USA;(3) Equipe de Logique, Université Paris VII, Paris, France
Abstract:We develop several quasi-polynomial-time deterministic algorithms for approximating the fraction of truth assignments that satisfy a disjunctive normal form formula. The most efficient algorithm computes for a given DNF formulaF onn variables withm clauses and epsi > 0 an estimateY such that ¦PrF] –Y¦leepsi in time which is 
$$(m\log (n))^{\exp (O(\sqrt {\log \log (m)} ))}$$
, for any constantepsi. Although the algorithms themselves are deterministic, their analysis is probabilistic and uses the notion of limited independence between random variables.Research supported in part by National Science Foundation Operating Grant CCR-9016468, National Science Foundation Operating Grant CCR-9304722, United States-Israel Binational Science Foundation Grant No. 89-00312, United States-Israel Binational Science Foundation Grant No. 92-00226, and ESPRIT Basic Research Grant EC-US 030.Research partially done while visiting the International Computer Science Institute and while at Carnegie Mellon University.
Keywords:Approximation algorithms  #P-complete  Derandomization  DNF formula  Small sample spaces
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