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dc.contributor.authorSun, Peng
dc.contributor.authorFreund, Robert M.
dc.date.accessioned2003-12-14T23:22:42Z
dc.date.available2003-12-14T23:22:42Z
dc.date.issued2004-01
dc.identifier.urihttp://hdl.handle.net/1721.1/3896
dc.description.abstractWe present a practical algorithm for computing the minimum volume n-dimensional ellipsoid that must contain m given points a₁,..., am ∈ 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
dc.description.sponsorshipSingapore-MIT Alliance (SMA)en
dc.format.extent192207 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesHigh Performance Computation for Engineered Systems (HPCES);
dc.subjectellipsoiden
dc.subjectNewton’s methoden
dc.subjectinterior-point methoden
dc.subjectbarrier methoden
dc.subjectactive seten
dc.subjectsemidefinite programen
dc.subjectdata miningen
dc.subjectrobust statisticsen
dc.subjectclustering analysisen
dc.titleSummary Conclusions: Computation of Minimum Volume Covering Ellipsoids*en
dc.typeArticleen


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