DocumentCode
338458
Title
Complexity of k-SAT
Author
Impagliazzo, Russell ; Paturi, Ramamohan
Author_Institution
California Univ., San Diego, La Jolla, CA, USA
fYear
1999
fDate
1999
Firstpage
237
Lastpage
240
Abstract
The problem of k-SAT is to determine if the given k-CNF has a satisfying solution. It is a celebrated open question as to whether it requires exponential time to solve k-SAT for k⩾3. Define sk (for k⩾3) to be the infimum of {δ: there exists an O(2 δn) algorithm for solving k-SAT}. Define ETH (Exponential-Time Hypothesis) for k-SAT as follows: for k⩾3, sk >0. In other words, for k⩾3, k-SA does not have a subexponential-time algorithm. In this paper we show that sk is an increasing sequence assuming ETH for k-SAT: Let s∞ be the limit of sk. We in fact show that sk⩽(1-d/k) s∞ for some constant d>0
Keywords
computational complexity; exponential time; k-SAT complexity; subexponential-time algorithm; Algorithm design and analysis; Educational programs; NP-complete problem; Polynomials; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Complexity, 1999. Proceedings. Fourteenth Annual IEEE Conference on
Conference_Location
Atlanta, GA
ISSN
1093-0159
Print_ISBN
0-7695-0075-7
Type
conf
DOI
10.1109/CCC.1999.766282
Filename
766282
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