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DC Field | Value | Language |
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dc.contributor.author | Wattana Jindaluang | en_US |
dc.contributor.author | Jakarin Chawachat | en_US |
dc.contributor.author | Varin Chouvatut | en_US |
dc.contributor.author | Jittat Fakcharoenphol | en_US |
dc.contributor.author | Sanpawat Kantabutra | en_US |
dc.date.accessioned | 2018-09-05T03:30:51Z | - |
dc.date.available | 2018-09-05T03:30:51Z | - |
dc.date.issued | 2017-01-01 | en_US |
dc.identifier.issn | 01252526 | en_US |
dc.identifier.other | 2-s2.0-85010824713 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85010824713&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/56835 | - |
dc.description.abstract | © 2017, Chiang Mai University. All rights reserved. This paper considers a movement problem that minimizes the maximum movement of pebbles on a graph to form a path from source vertex s to destination vertex t. The best known algorithm for this problem is a 7-approximation algorithm developed by Berman, Demaine, and Zadimoghaddam in 2011. We refine the analysis of Berman et. al. to obtain an (3 + ϵ)-approximation algorithm for any constant ϵ > 0. This problem is a subroutine used by Berman et. al. for finding a solution to the connectivity movement problem. Using our improved algorithm as a subroutine, the approximation ratio for the connectivity movement problem improves from 136 to 104 + ϵ. | en_US |
dc.subject | Biochemistry, Genetics and Molecular Biology | en_US |
dc.subject | Chemistry | en_US |
dc.subject | Materials Science | en_US |
dc.subject | Mathematics | en_US |
dc.subject | Physics and Astronomy | en_US |
dc.title | An improved approximation algorithm for the s-t path movement problem | en_US |
dc.type | Journal | en_US |
article.title.sourcetitle | Chiang Mai Journal of Science | en_US |
article.volume | 44 | en_US |
article.stream.affiliations | Kasetsart University | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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