Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/4015
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dc.creatorXu, Sheng-
dc.creatorFreund, Robert M.-
dc.creatorSun, Jie-
dc.date2003-12-23T03:14:50Z-
dc.date2003-12-23T03:14:50Z-
dc.date2002-01-
dc.date.accessioned2013-10-09T02:33:46Z-
dc.date.available2013-10-09T02:33:46Z-
dc.date.issued2013-10-09-
dc.identifierhttp://hdl.handle.net/1721.1/4015-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionGiven a set of circles C = {c₁, ..., cn}on the Euclidean plane with centers {(a₁, b₁), ..., (an, b<sub>n</sub>)}and radii {r₁..., r<n},the smallest enclosing circle (of fixed circles) problem is to ï¬ nd 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.descriptionSingapore-MIT Alliance (SMA)-
dc.format175555 bytes-
dc.formatapplication/pdf-
dc.languageen_US-
dc.relationHigh Performance Computation for Engineered Systems (HPCES);-
dc.subjectcomputational geometry-
dc.subjectoptimization-
dc.titleSolution Methodologies for the Smallest Enclosing Circle Problem-
dc.typeArticle-
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