Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/456491
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Computer Science and Engineering | |
dc.date.accessioned | 2023-02-06T10:39:47Z | - |
dc.date.available | 2023-02-06T10:39:47Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/456491 | - |
dc.description.abstract | In this research work we study the Steiner tree ST problem in the distributed setting Given a connected undirected graph with non negative edge weights and a subset of terminal nodes the goal of the ST problem is to find a minimum cost tree spanning the terminals The first contribution is a deterministic distributed algorithm for the ST problem DST algorithm in the CONGEST model which guarantees an approximation factor of 2 1 226 710 8217 1 226 8222 8220 where 226 8222 8220 is the number of leaf nodes in the optima... | |
dc.format.extent | Not Available | |
dc.language | English | |
dc.relation | Not Available | |
dc.rights | self | |
dc.title | Algorithms for some steiner tree problems on graphs | |
dc.title.alternative | Not available | |
dc.creator.researcher | Saikia, Parikshit | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Theory and Methods | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | Not Available | |
dc.contributor.guide | Karmakar, Sushanta | |
dc.publisher.place | Guwahati | |
dc.publisher.university | Indian Institute of Technology Guwahati | |
dc.publisher.institution | Department of Computer Science and Engineering | |
dc.date.registered | 2015 | |
dc.date.completed | 2020 | |
dc.date.awarded | 2020 | |
dc.format.dimensions | Not Available | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_fulltext.pdf | Attached File | 3.08 MB | Adobe PDF | View/Open |
04_abstract.pdf | 454.56 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 299.75 kB | Adobe PDF | View/Open |
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