Upper and Lower Bounds for Weak Backdoor Set Detection
| Autoři | |
|---|---|
| Rok publikování | 2013 |
| Druh | Článek ve sborníku |
| Konference | Lecture Notes in Computer Science |
| Fakulta / Pracoviště MU | |
| Citace | NEELDHARA, Misra, Sebastian ORDYNIAK, Venkatesh RAMAN a Stefan SZEIDER. Upper and Lower Bounds for Weak Backdoor Set Detection. In Matti J{\"a}rvisalo and Allen Van Gelder. Lecture Notes in Computer Science. Helsinki: Springer, 2013, s. 394-402. ISBN 978-3-642-39070-8. Dostupné z: https://dx.doi.org/10.1007/978-3-642-39071-5_29. |
| Doi | http://dx.doi.org/10.1007/978-3-642-39071-5_29 |
| Obor | Teorie informace |
| Klíčová slova | satisfiability; weak backdoor sets;parameterized complexity; upper bounds; lower bounds |
| Popis | We obtain upper and lower bounds for running times of exponential time algorithms for the detection of weak backdoor sets of 3CNF formulas, considering various base classes. These results include (omitting polynomial factors), (i)~a 4.54^k algorithm to detect whether there is a weak backdoor set of at most k variables into the class of Horn formulas; (ii)~a 2.27^k algorithm to detect whether there is a weak backdoor set of at most k variables into the class of Krom formulas. These bounds improve an earlier known bound of 6^k. We also prove a 2^k lower bound for these problems, subject to the Strong Exponential Time Hypothesis. |
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