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首页> 外文期刊>ACM transactions on algorithms >Families with Infants: Speeding Up Algorithms for NP-Hard Problems Using FFT
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Families with Infants: Speeding Up Algorithms for NP-Hard Problems Using FFT

机译:有婴儿的家庭:使用FFT加快NP难题的算法

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Assume that a group of n people is going to an excursion and our task is to seat them into buses with several constraints each saying that a pair of people does not want to see each other in the same bus. This is a well-known graph coloring problem (with n being the number of vertices) and it can be solved in O*(2(n)) time by the inclusion-exclusion principle as shown by Bjorklund, Husfeldt, and Koivisto in 2009. Another approach to solve this problem in O*(2(n)) time is to use the Fast Fourier Transform (FFT). For this, given a graph G one constructs a polynomial PG(x) of degree O*(2(n)) with the following property: G is k-colorable if and only if the coefficient of x(m) (for some particular value of m) in the k-th power of P(x) is nonzero. Then, it remains to compute this coefficient using FFT.
机译:假设有一组n人要去旅行,我们的任务是将他们坐在有几个约束的公共汽车上,每个约束都说一对人不想在同一辆公共汽车上见到对方。这是一个众所周知的图着色问题(n是顶点数),可以通过Bjorklund,Husfeldt和Koivisto在2009年展示的包含-排除原理在O *(2(n))时间内解决。解决O *(2(n))时间问题的另一种方法是使用快速傅立叶变换(FFT)。为此,给定一个图G,可以构造具有以下性质的度为O *(2(n))的多项式PG(x):当且仅当x(m)的系数(对于某些特定值) P(x)的k次幂中m)的值不为零。然后,仍然需要使用FFT计算该系数。

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