Title:
Approximation Schemes for Planar Graphs: A Survey of Methods
Approximation Schemes for Planar Graphs: A Survey of Methods
dc.contributor.author | Klein, Philip | |
dc.contributor.corporatename | Georgia Institute of Technology. Algorithms, Randomness and Complexity Center | en_US |
dc.contributor.corporatename | Brown University. Dept. of Computer Science | en_US |
dc.date.accessioned | 2017-04-10T17:23:30Z | |
dc.date.available | 2017-04-10T17:23:30Z | |
dc.date.issued | 2017-03-27 | |
dc.description | Presented on March 27, 2017 at 11:00 a.m. in the Klaus Advanced Computing Building, room 1116E. | en_US |
dc.description | Phil Klein is Professor of Computer Science at Brown University. His research area is algorithms for finding optimal and approximately optimal solutions to optimization problems in graphs and networks. | en_US |
dc.description | Runtime: 56:45 minutes | en_US |
dc.description.abstract | In addressing an NP-hard problem in combinatorial optimization, one way to cope is to use an approximation scheme, an algorithm that, for any given ϵ>0, produces a solution whose value is within a 1+ϵ factor of optimal. For many problems on graphs, obtaining such accurate approximations is NP-hard if the input is allowed to be any graph but is tractable if the input graph is required to be planar. Research on polynomial-time approximation schemes for optimization problems in planar graphs goes back to the pioneering work of Lipton and Tarjan (1977) and Baker (1983). Since then, however, the scope of problems amenable to approximation has broadened considerably. In this talk I will outline some of the approaches used, especially those that have led to recent results. | en_US |
dc.format.extent | 56:45 minutes | |
dc.identifier.uri | http://hdl.handle.net/1853/56627 | |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | Algorithms and Randomness Center (ARC) Colloquium | |
dc.subject | Approximation algorithms | en_US |
dc.subject | Planar graphs | en_US |
dc.title | Approximation Schemes for Planar Graphs: A Survey of Methods | en_US |
dc.type | Moving Image | |
dc.type.genre | Lecture | |
dspace.entity.type | Publication | |
local.contributor.corporatename | Algorithms and Randomness Center | |
local.contributor.corporatename | College of Computing | |
local.relation.ispartofseries | ARC Colloquium | |
relation.isOrgUnitOfPublication | b53238c2-abff-4a83-89ff-3e7b4e7cba3d | |
relation.isOrgUnitOfPublication | c8892b3c-8db6-4b7b-a33a-1b67f7db2021 | |
relation.isSeriesOfPublication | c933e0bc-0cb1-4791-abb4-ed23c5b3be7e |
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