FPT Algorithms with Polynomial Memory for the Convex String Recoloring Problem
dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Bodlaender, H.L. | |
dc.contributor.author | Hagenaars, C.A. | |
dc.date.accessioned | 2018-08-28T17:00:45Z | |
dc.date.available | 2018-08-28T17:00:45Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/30699 | |
dc.description.abstract | The Convex String Recoloring (CSR) problem measures the Hamming distance between a string of colored vertices to a convex string. This is a special case of the Convex Tree Recoloring (CTR) problem, which measures the Hamming distance to a perfect phylogeny, which was popularized by Moran and Snir. It has been shown that even if the input graphs are restricted to strings, the problem is still NP-complete. In 2008 Bar-Yehuda et al. came up with a dynamic programming approach the can solve the CSR in O^*(2^k) using exponential space. In this paper, it is shown that the CSR problem can be solved in O^*(2^k) time using only polynomial space. | |
dc.description.sponsorship | Utrecht University | |
dc.format.extent | 295398 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.title | FPT Algorithms with Polynomial Memory for the Convex String Recoloring Problem | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.courseuu | Computing Science |