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dc.contributor.authorSun, Pengen_US
dc.contributor.authorFreund, Robert M.en_US
dc.date.accessioned2004-05-28T19:22:45Z
dc.date.available2004-05-28T19:22:45Z
dc.date.issued2002-07en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/5090
dc.description.abstractWe 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.en_US
dc.format.extent1786129 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherMassachusetts Institute of Technology, Operations Research Centeren_US
dc.relation.ispartofseriesOperations Research Center Working Paper;OR 364-02en_US
dc.subjectEllipsoid, Newton's method, interior-point method, barrier method, active set, semidefinite program, data mining.en_US
dc.titleComputation of Minimum Volume Covering Ellipsoidsen_US
dc.typeWorking Paperen_US
dc.contributor.departmentMassachusetts Institute of Technology. Operations Research Center


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