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首页> 外文期刊>電子情報通信学会技術研究報告. コンピュテ-ション. Theoretical Foundations of Computing >An O(1.787{sup}n)-time Algorithm for Detecting a Singleton Attractor in a Boolean Network Consisting of AND/OR Nodes
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An O(1.787{sup}n)-time Algorithm for Detecting a Singleton Attractor in a Boolean Network Consisting of AND/OR Nodes

机译:O(1.787 {sup} n)时间算法,用于在由AND / OR节点组成的布尔网络中检测单例吸引子

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摘要

The Boolean network (BN) is a mathematical model of genetic networks. It is known that detecting a singleton attractor is NP-hard even for AND/OR BNs (i.e., BNs consisting of AND/OR nodes), where singleton attractors correspond to steady states. Though a naive algorithm can detect a singleton attractor for an AND/OR BN in O(n2{sup}n) time, no O((2-ε){sup}n) (ε>0) time algorithm was known even for an AND/OR BN with non-restricted indegree, where n is the number of nodes in a BN. In this paper, we present an O(1.787{sup}n) time algorithm for detecting a singleton attractor of a given AND/OR BN.
机译:布尔网络(BN)是遗传网络的数学模型。众所周知,即使对于AND / OR BN(即,由AND / OR节点组成的BN),检测单子吸引子也是NP难的,其中,单子吸引子对应于稳态。尽管天真的算法可以在O(n2 {sup} n)时间内检测到一个AND / OR BN的单吸引子,但即使是这样,也没有O((2-ε){sup} n)(ε> 0)时间算法是已知的无限度的AND / OR BN,其中n是BN中的节点数。在本文中,我们提出了一种O(1.787 {sup} n)时间算法,用于检测给定AND / OR BN的单重吸引子。

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