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- W1884149265 abstract "In this paper, we compute the first linear kernel for the complementary problem of Maximal Strip Recovery (CMSR) -- a well-known NP-complete problem in computational genomics. Let k be the parameter which represents the size of the solution. The core of the technique is to first obtain a tight 18k bound on the parameterized solution search space, which is done through a mixed global rules and local rules, and via an inverse amortized analysis. Then we apply additional data-reduction rules to obtain a tight 84k kernel for the problem. Combined with the known algorithm using bounded degree search, we obtain the best FPT algorithm for CMSR to this date, running in O(2.36kk2+n2) time." @default.
- W1884149265 created "2016-06-24" @default.
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- W1884149265 date "2012-01-01" @default.
- W1884149265 modified "2023-09-26" @default.
- W1884149265 title "A Linear Kernel for the Complementary Maximal Strip Recovery Problem" @default.
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- W1884149265 doi "https://doi.org/10.1007/978-3-642-31265-6_28" @default.
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