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Fast and Space-Efficient Location of Heavy or Dense Segments in Run-Length Encoded Sequences

机译:在运行长度编码序列中的沉重或密集段的快速和空间有效位置

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This paper considers several variations of an optimization problem with potential applications in such areas as biomolecular sequence analysis and image processing. Given a sequence of items, each with a weight and a length, the goal is to find a subsequence of consecutive items of optimal value, where value is either total weight or total weight divided by total length. There may also be a specified lower and/or upper bound on the acceptable length of subsequences. This paper shows that all the variations of the problem are solvable in linear time and space even with non-uniform item lengths and divisible items, implying that run-length encoded sequences can be handled in time and space linear in the number of runs. Furthermore, some problem variations can be solved in constant space. Also, these time and space bounds suffice for certain problem variations in which we call for reporting of many "good" subsequences.
机译:本文考虑了在这些区域中的潜在应用的优化问题的几种变化,作为生物分子序列分析和图像处理。给定一系列物品,每个项目具有重量和长度,目标是找到连续的最佳值的子项,其中值是总重量或总重量除以总长度。在可接受的子序列上也可能存在指定的较低和/或上限。本文表明,即使具有非均匀项目长度和可分隔的项目,也可以在线性时间和空间中解决问题的所有变化,这意味着可以在运行数量的时间和空间线性中处理运行长度编码的序列。此外,可以在恒定空间中解决一些问题变化。此外,这些时间和空间范围足以满足某些问题变体,我们要求报告许多“好”子序列。

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