Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7681
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dc.contributor.authorLi Y.Y.en_US
dc.contributor.authorProf. LEUNG Kwong Saken_US
dc.contributor.authorWong C.K.en_US
dc.date.accessioned2023-03-30T04:24:26Z-
dc.date.available2023-03-30T04:24:26Z-
dc.date.issued1998-
dc.identifier.citationProceedings - IEEE International Symposium on Circuits and Systems, 1998, vol. 6, pp. 241 - 243en_US
dc.identifier.issn02714310-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7681-
dc.description.abstractWe consider Steiner minimal trees (SMT) in the plane, where only orientations with angle iπ/σ, 0≤i≤σ-1 and σ an integer, are allowed. The orientations define a metric, called the orientation metric, λσ, in a natural way. In particular, λ2 metric is the rectilinear metric and the Euclidean metric can be regarded as λ∞ metric. In this paper, we provide a method to find an optimal λσ SMT for 3 or 4 points by analyzing the topology of λσ SMT's in great details. Utilizing these results and based on the idea of loop detection first proposed in, we further develop an O(n2) time heuristic for the general λσ SMT problem, including the Euclidean metric. Experiments performed on publicly available benchmark data for 12 different metrics, plus the Euclidean metric, demonstrate the efficiency of our algorithms and the quality of our results.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofProceedings - IEEE International Symposium on Circuits and Systemsen_US
dc.titleOn orientation metric and Euclidean Steiner tree constructionsen_US
dc.typeConference Proceedingsen_US
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
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