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Correcting a Space-Efficient Simulation Algorithm

机译:修正节省空间的仿真算法

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摘要

Although there are many efficient algorithms for calculating the simulation preorder on finite Kripke structures, only two have been proposed of which the space complexity is of the same order as the size of the output of the algorithm. Of these, the one with the best time complexity exploits the representation of the simulation problem as a generalised coarsest partition problem. It is based on a fixed-point operator for obtaining a generalised coarsest partition as the limit of a sequence of partition pairs. We show that this fixed-point theory is flawed, and that the algorithm is incorrect. Although we do not see how the fixed-point operator can be repaired, we correct the algorithm without affecting its space and time complexity.
机译:尽管有许多有效的算法可用于计算有限Kripke结构上的仿真预序,但仅提出了两种算法,其空间复杂度与算法输出的大小相同。其中,时间复杂度最高的人将模拟问题表示为广义的最粗分区问题。它基于定点运算符,用于获得广义的最粗分区作为分区对序列的限制。我们证明了这种定点理论是有缺陷的,并且该算法是不正确的。尽管我们看不到如何修复定点运算符,但我们在不影响其空间和时间复杂度的情况下对其进行了校正。

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