Please use this identifier to cite or link to this item: https://doi.org/10.1023/A:1022977709811
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dc.titleSolution methodologies for the smallest enclosing circle problem
dc.contributor.authorXu, S.
dc.contributor.authorFreund, R.M.
dc.contributor.authorSun, J.
dc.date.accessioned2014-12-12T07:04:17Z
dc.date.available2014-12-12T07:04:17Z
dc.date.issued2003-04
dc.identifier.citationXu, S., Freund, R.M., Sun, J. (2003-04). Solution methodologies for the smallest enclosing circle problem. Computational Optimization and Applications 25 (1-3) : 283-292. ScholarBank@NUS Repository. https://doi.org/10.1023/A:1022977709811
dc.identifier.issn09266003
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/114876
dc.description.abstractGiven a set of circles C = {c1,..., cn} on the Euclidean plane with centers {(a1, b1),..., (an, bn)} and radii {r1,.... rn}, the smallest enclosing circle (of fixed circles) problem is to find the circle of minimum radius that encloses all circles in C. We survey four known approaches for this problem, including a second order cone reformulation, a subgradient approach, a quadratic programming scheme, and a randomized incremental algorithm. For the last algorithm we also give some implementation details. It turns out the quadratic programming scheme outperforms the other three in our computational experiment.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1023/A:1022977709811
dc.sourceScopus
dc.subjectComputational geometry
dc.subjectOptimization
dc.typeReview
dc.contributor.departmentDECISION SCIENCES
dc.description.doi10.1023/A:1022977709811
dc.description.sourcetitleComputational Optimization and Applications
dc.description.volume25
dc.description.issue1-3
dc.description.page283-292
dc.description.codenCPPPE
dc.identifier.isiut000181754700015
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