Computation of Minimum Volume Covering Ellipsoids
We 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...
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Format: | Working Paper |
Language: | en_US |
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Massachusetts Institute of Technology, Operations Research Center
2004
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Online Access: | http://hdl.handle.net/1721.1/5090 |
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author | Sun, Peng Freund, Robert M. |
author_facet | Sun, Peng Freund, Robert M. |
author_sort | Sun, Peng |
collection | MIT |
description | We 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. |
first_indexed | 2024-09-23T13:49:26Z |
format | Working Paper |
id | mit-1721.1/5090 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T13:49:26Z |
publishDate | 2004 |
publisher | Massachusetts Institute of Technology, Operations Research Center |
record_format | dspace |
spelling | mit-1721.1/50902019-04-12T08:15:28Z Computation of Minimum Volume Covering Ellipsoids Sun, Peng Freund, Robert M. Ellipsoid, Newton's method, interior-point method, barrier method, active set, semidefinite program, data mining. We 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. 2004-05-28T19:22:45Z 2004-05-28T19:22:45Z 2002-07 Working Paper http://hdl.handle.net/1721.1/5090 en_US Operations Research Center Working Paper;OR 364-02 1786129 bytes application/pdf application/pdf Massachusetts Institute of Technology, Operations Research Center |
spellingShingle | Ellipsoid, Newton's method, interior-point method, barrier method, active set, semidefinite program, data mining. Sun, Peng Freund, Robert M. Computation of Minimum Volume Covering Ellipsoids |
title | Computation of Minimum Volume Covering Ellipsoids |
title_full | Computation of Minimum Volume Covering Ellipsoids |
title_fullStr | Computation of Minimum Volume Covering Ellipsoids |
title_full_unstemmed | Computation of Minimum Volume Covering Ellipsoids |
title_short | Computation of Minimum Volume Covering Ellipsoids |
title_sort | computation of minimum volume covering ellipsoids |
topic | Ellipsoid, Newton's method, interior-point method, barrier method, active set, semidefinite program, data mining. |
url | http://hdl.handle.net/1721.1/5090 |
work_keys_str_mv | AT sunpeng computationofminimumvolumecoveringellipsoids AT freundrobertm computationofminimumvolumecoveringellipsoids |