Consensus Strings with Small Maximum Distance and Small Distance Sum

Algorithmica(2019)

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摘要
The parameterised complexity of various consensus string problems ( Closest String , Closest Substring , Closest String with Outliers ) is investigated in a more general setting, i. e., with a bound on the maximum Hamming distance and a bound on the sum of Hamming distances between solution and input strings. We completely settle the parameterised complexity of these generalised variants of Closest String and Closest Substring , and partly for Closest String with Outliers ; in addition, we answer some open questions from the literature regarding the classical problem variants with only one distance bound. Finally, we investigate the question of polynomial kernels and respective lower bounds.
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关键词
Consensus String Problems,Closest String,Closest Substring,Parameterised Complexity,Kernelisation
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