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On Minimizing Pattern Splitting in Multi-track String Matching

机译:多轨字符串匹配中的模式分割最小化

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Given a pattern string P = p_1p_2 ... p_m and K parallel text strings T = {T~k = t_1~k ... t_n~k | 1 ≤ k ≤ K} over an integer alphabet Σ, our task is to find the smallest integer K > 0 such that P can be split into K pieces P = P~1 ... P~k, where each P~i has an occurrence in some text track T~(k_i) and these partial occurrences retain the order. We study some variations of this minimum splitting problem, such as splittings with limited gaps and transposition invariance, and show how to use sparse dynamic programming to solve the variations efficiently. In particular, we show that the minimum splitting problem can be interpreted as a shortest path problem on line segments.
机译:给定一个模式字符串P = p_1p_2 ... p_m和K个并行文本字符串T = {T〜k = t_1〜k ... t_n〜k | 1≤k≤K}在整数字母Σ上,我们的任务是找到最小的整数K> 0,以使P可以分解为K个块P = P〜1 ... P〜k,其中每个P〜i具有在某些文本轨道T〜(k_i)中出现一个事件,并且这些部分事件保留了顺序。我们研究了这种最小分裂问题的一些变体,例如有限的间隙和转座不变性,并展示了如何使用稀疏动态编程有效地解决这些变体。特别是,我们表明最小分割问题可以解释为线段上的最短路径问题。

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