Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/54399
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dc.contributor.authorChandra Chekurien_US
dc.contributor.authorThapanapong Rukkanchanunten_US
dc.contributor.authorChao Xuen_US
dc.date.accessioned2018-09-04T10:12:53Z-
dc.date.available2018-09-04T10:12:53Z-
dc.date.issued2015-01-01en_US
dc.identifier.issn16113349en_US
dc.identifier.issn03029743en_US
dc.identifier.other2-s2.0-84945535090en_US
dc.identifier.other10.1007/978-3-662-48350-3_27en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84945535090&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/54399-
dc.description.abstract© Springer-Verlag Berlin Heidelberg 2015. The notion of element-connectivity has found several important applications in network design and routing problems. We focus on a reduction step that preserves the element-connectivity [18,4,3], which when applied repeatedly allows one to reduce the original graph to a simpler one. This pre-processing step is a crucial ingredient in several applications. In this paper we revisit this reduction step and provide a new proof via the use of setpairs. Our main contribution is algorithmic results for several basic problems on element-connectivity including the problem of achieving the aforementioned graph simplification.We utilize the underlying submodularity properties of element-connectivity to derive faster algorithms.en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleOn element-connectivity preserving graph simplificationen_US
dc.typeBook Seriesen_US
article.title.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
article.volume9294en_US
article.stream.affiliationsUniversity of Illinois at Urbana-Champaignen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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