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
Link To Document :
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