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검색결과
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건)
Uniform solutions to
SAT
and Subset Sum by spiking neural P systems
AbstractWe continue the investigations concerning the possibility of using spiking neural P systems as a framework for solving computa
Lower bounds for random 3-
SAT
via differential equations
Abstract It is widely believed that the probability of satisfiability for random k-
SAT
formulae exhibits a sharp threshold
Bounded model checking of software using SMT solvers instead of
SAT
solvers
C bounded model checking (cbmc) has proved to be a successful approach to automatic software analysis. The key idea is to (i) build a
Threshold values of random K‐
SAT
from the cavity method
Abstract 10.1002/rsa.20090.abs Using the cavity equations of Mézard, Parisi, and Zecchina Science 297 (2002), 812; Mézard and Zecchi
Overview and analysis of the
SAT
Challenge 2012 solver competition
AbstractPrograms for the Boolean satisfiability problem (
SAT
), i.e.,
SAT
solvers, are nowadays used as core decision procedures for a
Is It the Music or Is It Selection Bias? A Nationwide Analysis of Music and Non-Music Students'
This study examined the college entrance examination scores of music and nonmusic students in the United States, drawing data from the
Analysis and occurrence of seven artificial sweeteners in German waste water and surface water a
AbstractA method for the simultaneous determination of seven commonly used artificial sweeteners in water is presented. The analytes w
Automating Boolean Set Operations in Mizar Proof Checking with the Aid of an External
SAT
Solver
In this paper we present the results of an experiment with employing an external
SAT
solver to strengthen the notion of obviousness of
New methods for 3-
SAT
decision and worst-case analysis
Abstract We prove the worst-case upper bound 1.5045.. n for the time complexity of 3-
SAT
decision, where n i
An improved deterministic local search algorithm for 3-
SAT
We slightly improve the pruning technique presented in Dantsin et al. (Theoret. Comput. Sci. 289 (2002) 69) to obtain an O*(1.473n) de
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