Abstract
The parameterised complexity of the Closest Substring Problem and the Consensus Patterns Problem with respect to the parameter \((\ell - m)\) is investigated, where \(\ell \) is the maximum length of the input strings and m is the length of the solution string. We present an exact exponential time algorithm for both problems, which is based on an alphabet reduction. Furthermore, it is shown that for most combinations of \((\ell - m)\) and one of the classical parameters (m, \(\ell \), number of input strings k, distance d), we obtain fixed-parameter tractability, but even for constant \((\ell - m)\) and constant alphabet size, both problems are \({{\mathrm{\mathsf {NP}}}}\)-hard.
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Notes
- 1.
- 2.
By \({{\mathrm{\mathcal {O}}}}^*\) we denote the \({{\mathrm{\mathcal {O}}}}\)-notation that suppresses polynomial factors.
- 3.
In all tables, \(\mathbf p \) means that the label of this column is treated as a parameter and an integer entry means that the result holds even if this parameter is set to the given constant; problems that are hard for \({{\mathrm{\mathsf {W}}}}[1]\) are not in \({{\mathrm{\mathsf {FPT}}}}\) (under complexity theoretical assumptions, see [4]).
References
Bulteau, L., Hüffner, F., Komusiewicz, C., Niedermeier, R.: Multivariate algorithmics for np-hard string problems. EATCS Bull. 114, 31–73 (2014)
Evans, P.A., Smith, A.D., Wareham, H.T.: On the complexity of finding common approximate substrings. Theoret. Comput. Sci. 306, 407–430 (2003)
Fellows, M.R., Gramm, J., Niedermeier, R.: On the parameterized intractability of motif search problems. Combinatorica 26, 141–167 (2006)
Flum, J., Grohe, M.: Parameterized Complexity Theory. Springer-Verlag, New York (2006)
Frances, M., Litman, A.: On covering problems of codes. Theor. Comput. Sys. 30, 113–119 (1997)
Gramm, J., Niedermeier, R., Rossmanith, P.: Fixed-parameter algorithms for closest string and related problems. Algorithmica 37, 25–42 (2003)
Kratochvíl, J., Kr̆ivánek, M.: On the computational complexity of codes in graphs. In: Chytil, M.P., Koubek, V., Janiga, L. (eds.) Mathematical Foundations of Computer Science 1988. LNCS, pp. 396–404. Springer, Heidelberg (1988)
Marx, D.: Closest substring problems with small distances. SIAM J. Comput. 38, 1382–1410 (2008)
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Schmid, M.L. (2015). Finding Consensus Strings with Small Length Difference Between Input and Solution Strings. In: Italiano, G., Pighizzini, G., Sannella, D. (eds) Mathematical Foundations of Computer Science 2015. MFCS 2015. Lecture Notes in Computer Science(), vol 9235. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48054-0_45
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DOI: https://doi.org/10.1007/978-3-662-48054-0_45
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