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Upper and Lower Bounds for Weak Backdoor Set Detection

机译:上边界和下边界用于弱后门集检测

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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.
机译:考虑到各种基类,我们获得了用于检测3CNF公式的弱后门集的指数时间算法的运行时间的上限和下限。这些结果包括(省略多项式因子),(ⅰ)一种4.54〜k算法,用于检测Horn公式类别中是否存在最多k个变量的弱后门集; (ⅱ)一种2.27〜k算法,用于检测Krom公式类别中是否存在最多k个变量的弱后门集。这些界限将先前的已知界限提高到6k。根据强指数时间假说,我们还证明了这些问题的下界2k。

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