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Finding Maximum Noncrossing Subset of Nets Using Longest Increasing Subsequence

机译:使用最长递增子序列查找网络的最大非交叉子集

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摘要

In the problem of maximum noncrossing subset of nets, the current algorithms of using either dynamic programming or the longest common subsequence have the complexity of O(n2). In order to reduce the complexity of the existing algorithms, a more efficient algorithm of using longest increasing subsequence is introduced in this paper. The effectiveness of the algorithm with a time consuming complexity of O(nlogn) is illustrated through the theoretical analysis and by demonstrating the experiment results of corresponding C++ program.
机译:在网络的最大非交叉子集问题中,当前使用动态规划或最长公共子序列的算法的复杂度为O(n2)。为了降低现有算法的复杂度,本文提出了一种使用最长递增子序列的更有效算法。通过理论分析和演示相应C ++程序的实验结果,说明了算法的有效性,该算法具有耗时的O(nlogn)复杂度。

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