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Volumn 63, Issue 2, 2001, Pages 11-

Simplest random K-satisfiability problem

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[No Author keywords available]

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EID: 85035298160     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.63.026702     Document Type: Article
Times cited : (7)

References (33)
  • 1
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    • Computational Complexity (Addison-Wesley, Reading, MA 1994)
    • M. Garey and D.S. Johnson, Computers and Intractability; A Guide to the Theory of NP-Completeness (Freeman, San Francisco, 1979);C. Papadimitriou, Computational Complexity (Addison-Wesley, Reading, MA 1994).
    • Papadimitriou, C.1
  • 3
    • 85035293467 scopus 로고    scopus 로고
    • Y.-T. Fu and P.W. Anderson, in Lectures in the Sciences of Complexity, edited by D. Stein (Addison-Wesley, Reading, MA, 1989), p. 815
    • Y.-T. Fu and P.W. Anderson, in Lectures in the Sciences of Complexity, edited by D. Stein (Addison-Wesley, Reading, MA, 1989), p. 815.
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    • D. Mitchell, B. Selman, and H. Levesque, in Proceedings of the Tenth National Conference on Artificial Intelligence (AAAI-92) (AAAI Press, Menlo Park, CA, 1992) p. 459
    • D. Mitchell, B. Selman, and H. Levesque, in Proceedings of the Tenth National Conference on Artificial Intelligence (AAAI-92) (AAAI Press, Menlo Park, CA, 1992) p. 459.
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    • Artif. Intel. 81, issue 1-2 (1996)
    • Artif. Intel. 81, issue 1-2 (1996).
  • 11
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    • this context, the study of Boolean satisfiability (Formula presented)-SAT) problems has played a major role, allowing for both theoretical and numerical analysis. An instance of random K-SAT consists of a set of (Formula presented) random logical clauses over N Boolean variables. Each clause contains exactly K variables which are connected by logical OR operations and appear negated with probability 1/2. The important computational question is whether there exists an assignment to the variables that simultaneously satisfies all clauses (“constraints”) for a given instance. When (Formula presented) crosses a critical value (Formula presented) and for (Formula presented), the probability of finding solutions vanishes abruptly, i.e., (Formula presented) identifies the so-called satisfiable to unsatifiable (SAT/UNSAT) transition. At the same point and for (Formula presented), hard computational instances cluster, leading to an exponential median search cost for the most efficient known algorithms. The random K-SAT problem therefore provides a good model for the study of the onset of true intractability of “typical” instances of NP-complete problems. Moreover, recents results 7 have pointed out a clear connection between typical-case computational complexity and the type of threshold phenomena taking place at (Formula presented)
    • In this context, the study of Boolean satisfiability (Formula presented)-SAT) problems has played a major role, allowing for both theoretical and numerical analysis. An instance of random K-SAT consists of a set of (Formula presented) random logical clauses over N Boolean variables. Each clause contains exactly K variables which are connected by logical OR operations and appear negated with probability 1/2. The important computational question is whether there exists an assignment to the variables that simultaneously satisfies all clauses (“constraints”) for a given instance. When (Formula presented) crosses a critical value (Formula presented) and for (Formula presented), the probability of finding solutions vanishes abruptly, i.e., (Formula presented) identifies the so-called satisfiable to unsatifiable (SAT/UNSAT) transition. At the same point and for (Formula presented), hard computational instances cluster, leading to an exponential median search cost for the most efficient known algorithms. The random K-SAT problem therefore provides a good model for the study of the onset of true intractability of “typical” instances of NP-complete problems. Moreover, recents results 7 have pointed out a clear connection between typical-case computational complexity and the type of threshold phenomena taking place at (Formula presented)
  • 12
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    • Proceedings of the 17th International Symposium on Mathematical Foundations of Computer Science in Lecture Notes in Computer Science Vol. 629 (Springer, Berlin, 1992), p. 264
    • A. Goerdt, in Proceedings of the 17th International Symposium on Mathematical Foundations of Computer Science in Lecture Notes in Computer Science Vol. 629 (Springer, Berlin, 1992), p. 264.
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  • 23
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    • B. Selman, H.A. Kautz and B. Cohen, Cliques, Coloring, and Satisfiability, edited by D.S. Johnson and M.A. Trick, DIMACS Series in Discrete Mathematics and Theoretical Computer Science Vol. 26 (AMS, Providence, RI, 1996)
    • B. Selman, H.A. Kautz and B. Cohen, Cliques, Coloring, and Satisfiability, edited by D.S. Johnson and M.A. Trick, DIMACS Series in Discrete Mathematics and Theoretical Computer Science Vol. 26 (AMS, Providence, RI, 1996).
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    • J.M. Crawford and L.D. Auton, in Proceedings of the Eleventh National Conference on Artificial Intelligence (AAAI-93) (AAI Press, Menlo Park, CA, 1993), p. 21
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    • e-print, e-print arXiv
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  • 33
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    • Similarly to what happens in Max-(Formula presented)SAT. See, for instance, P. Beame, R. Karp, T. Pitassi, and M. Saks, in Proceedings of the Thirtieth Annual ACM Symposium on Theory of Computing (ACM, New York, 1998), p. 561
    • Similarly to what happens in Max-(Formula presented)SAT. See, for instance, P. Beame, R. Karp, T. Pitassi, and M. Saks, in Proceedings of the Thirtieth Annual ACM Symposium on Theory of Computing (ACM, New York, 1998), p. 561.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.