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Binary Jumbled Pattern Matching on Trees and Tree-Like Structures

机译:在树木和树状结构上匹配二进制混乱的模式

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Binary jumbled pattern matching asks to preprocess a binary string S in order to answer queries (i, j) which ask for a substring of S that is of length i and has exactly j 1-bits. This problem naturally generalizes to vertex-labeled trees and graphs by replacing "substring" with "connected subgraph". In this paper, we give an O(n~2/ log~2 n)-time solution for trees, matching the currently best bound for (the simpler problem of) strings. We also give an O(g~(2/3)n~(4/3)/(log n)~(4/3))-time solution for strings that are compressed by a grammar of size g. This solution improves the known bounds when the string is compressible under many popular compression schemes. Finally, we prove that the problem is fixedparameter tractable with respect to the treewidth w of the graph, even for a constant number of different vertex-labels, thus improving the previous best nO(w) algorithm.
机译:二进制混乱模式匹配要求预处理二进制字符串S以应答查询(i,j),该查询(i,j)询问s的stem i的子字符串,并且具有恰好J 1位。通过用“连接的子图”替换“子字符串”,此问题自然地推广到顶点标记的树木和图表。在本文中,我们为树的O(n〜2 / log〜2 n)-time解决方案,匹配当前最好的绑定(更简单的问题)字符串。我们还给出了一个(g〜(2/3)n〜(4/3)/(log n)〜(4/3)) - 由尺寸g的语法压缩的字符串的时间解决方案。当串在许多流行的压缩方案下压缩时,该解决方案改善了已知边界。最后,我们证明了问题是固定参数,即使是图表的树木WIDTH W,即使对于不同的顶点标签的恒定数量,从而提高了先前的最佳NO(W)算法。

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