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Upper and Lower Bounds for Weak Backdoor Set Detection

机译:弱后门设定检测的上限和下限

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摘要

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:考虑到各种基础类,我们获得了用于检测3CNF公式的弱后门组的指数时间算法的上下界。这些结果包括(省略多项式因子),(Ⅰ)4.54〜K算法检测是否存在最多K变量的弱后门集合到喇叭公式的类别; (Ⅱ)A 2.27〜k算法检测是否有一个最多的k变量弱的后门套装进入Krom公式的类。这些界限改善了6〜k的早期已知界限。我们还证明了这些问题的2〜k下限,受强大指数时间假设。

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