| dc.contributor.author | Masri, Rola El. | |
| dc.date.accessioned | 2011-09-27T06:10:40Z | |
| dc.date.available | 2011-09-27T06:10:40Z | |
| dc.date.copyright | 2006 | en_US |
| dc.date.issued | 2011-09-27 | |
| dc.date.submitted | 2006-06-16 | |
| dc.identifier.uri | http://hdl.handle.net/10725/633 | |
| dc.description | Includes bibliographical references (leaves 56-57). | en_US |
| dc.description.abstract | The Hitting Set problem received a great deal of attention lately due to its plethora of applications in scientific domains. Many Algorithms have been developed to solve this problem by targeting the reduction of the worst-case run time. The most recent proposed algorithm employs a technique called pseudo-kernelization, introduced by F. Abu Khzam. Pseudo-kernelization seeks to find favorable conditions whose presence leads to a faster search strategy, and whose absence leads to a better reduction of the problem instance. When applied to the 3-Hitting Set problem, it provides a great improvement over the previously known algorithms. In this paper, we consider the algorithm ofH. Fernau, which has the best worst-case run time. We show that combining the methods used in Fernau's algorithm and the pseudokernelization technique gives the best run times for 3-Hitting Set. We provide empirical evidence that supports this claim. Moreover, we show how applying pseudo-kernelization to the general d-Hitting Set problem provides an improvement over the previously developed algorithms. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Algorithms | en_US |
| dc.subject | Parameter estimation | en_US |
| dc.title | Fixed-parameter algorithms for hitting set problems. (c2006) | en_US |
| dc.type | Thesis | en_US |
| dc.term.submitted | Spring | en_US |
| dc.author.degree | MS in Computer Science | en_US |
| dc.author.school | Arts and Sciences | en_US |
| dc.author.idnumber | 199308260 | en_US |
| dc.author.commembers | Dr. Nashaat Mansour | |
| dc.author.commembers | Dr. May Hamdan | |
| dc.author.woa | OA | en_US |
| dc.description.physdesc | 1 bound copy: x, 75 leaves; ill.; 30 cm. available at RNL. | en_US |
| dc.author.division | Computer Science | en_US |
| dc.author.advisor | Dr. Faisal N. Abu Khzam | |
| dc.identifier.doi | https://doi.org/10.26756/th.2006.28 | en_US |
| dc.publisher.institution | Lebanese American University | en_US |