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 |