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Correcting a Space-Efficient Simulation Algorithm

机译:纠正空节空效仿真算法

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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kripke结构上计算模拟预购的高效算法,但仅提出了两个空间复杂性与算法输出的大小相同的顺序。其中,具有最佳时间复杂度的那个利用模拟问题的表示作为广义粗构分区问题。它基于一个定点运算符,用于获得作为分区对序列的极限的广义粗构分区。我们表明该定点理论有缺陷,并且该算法不正确。虽然我们没有看到如何修复定点运算符,但我们纠正了算法,而不会影响其空间和时间复杂度。

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