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| Content Provider | Springer Nature Link |
|---|---|
| Author | Niedermeier‡, Rolf Gramm, Jens Fellows, Michael R. |
| Copyright Year | 2006 |
| Abstract | We show that Closest Substring, one of the most important problems in the field of consensus string analysis, is W[1]-hard when parameterized by the number k of input strings (and remains so, even over a binary alphabet). This is done by giving a “strongly structure-preserving” reduction from the graph problem Clique to Closest Substring. This problem is therefore unlikely to be solvable in time O(f(k)•nc) for any function f of k and constant c independent of k, i.e., the combinatorial explosion seemingly inherent to this NP-hard problem cannot be restricted to parameter k. The problem can therefore be expected to be intractable, in any practical sense, for k ≥ 3. Our result supports the intuition that Closest Substring is computationally much harder than the special case of Closest String, althoughb othp roblems are NP-complete. We also prove W[1]-hardness for other parameterizations in the case of unbounded alphabet size. Our W[1]-hardness result for Closest Substring generalizes to Consensus Patterns, a problem arising in computational biology. |
| Ending Page | 167 |
| Page Count | 27 |
| Starting Page | 141 |
| File Format | |
| ISSN | 02099683 |
| e-ISSN | 14396912 |
| Journal | Combinatorica |
| Issue Number | 2 |
| Volume Number | 26 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2006-01-01 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Analysis of algorithms and problem complexity Complexity of computation (including implicit computational complexity) Mathematics Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.) Combinatorics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Discrete Mathematics and Combinatorics Computational Mathematics |
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