Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5090
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dc.creatorSun, Peng-
dc.creatorFreund, Robert M.-
dc.date2004-05-28T19:22:45Z-
dc.date2004-05-28T19:22:45Z-
dc.date2002-07-
dc.date.accessioned2013-10-09T02:37:34Z-
dc.date.available2013-10-09T02:37:34Z-
dc.date.issued2013-10-09-
dc.identifierhttp://hdl.handle.net/1721.1/5090-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionWe present a practical algorithm for computing the minimum volume n-dimensional ellipsoid that must contain m given points al,...,am C Rn . This convex constrained problem arises in a variety of applied computational settings, particularly in data mining and robust statistics. Its structure makes it particularly amenable to solution by interior-point methods, and it has been the subject of much theoretical complexity analysis. Here we focus on computation. We present a combined interior-point and active-set method for solving this problem. Our computational results demonstrate that our method solves very large problem instances (m = 30, 000 and n = 30) to a high degree of accuracy in under 30 seconds on a personal computer.-
dc.format1786129 bytes-
dc.formatapplication/pdf-
dc.languageen_US-
dc.publisherMassachusetts Institute of Technology, Operations Research Center-
dc.relationOperations Research Center Working Paper;OR 364-02-
dc.subjectEllipsoid, Newton's method, interior-point method, barrier method, active set, semidefinite program, data mining.-
dc.titleComputation of Minimum Volume Covering Ellipsoids-
dc.typeWorking Paper-
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