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...

Full description

Bibliographic Details
Main Authors: Sun, Peng, Freund, Robert M.
Format: Working Paper
Language:en_US
Published: Massachusetts Institute of Technology, Operations Research Center 2004
Subjects:
Online Access:http://hdl.handle.net/1721.1/5090
_version_ 1826207424342654976
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