Linear convergence of a modified Frank-Wolfe algorithm for computing minimum-volume enclosing ellipsoids
Linear convergence of a modified Frank-Wolfe algorithm for computing minimum-volume enclosing ellipsoids
We show the linear convergence of a simple first-order algorithm for the minimum-volume enclosing ellipsoid problem and its dual, the D-optimal design problem of statistics. Using similar techniques, we show the linear convergence of the Frank–Wolfe algorithm with away steps applied to the simplex, under conditions different from those of Guélat and Marcotte. Computational tests confirm the attractive features of this method.
linear convergence, Frank-Wolfe algorithm, Minimum-volume ellipsoids, optimizing on a simplex
5-19
Ahipasaoglu, S. Damla
d69f1b80-5c05-4d50-82df-c13b87b02687
Sun, Peng
41499e73-cc73-4703-b992-8a1200cfebd4
Todd, Michael J.
7ab02b74-2513-4d34-93cc-d8663756a46c
February 2008
Ahipasaoglu, S. Damla
d69f1b80-5c05-4d50-82df-c13b87b02687
Sun, Peng
41499e73-cc73-4703-b992-8a1200cfebd4
Todd, Michael J.
7ab02b74-2513-4d34-93cc-d8663756a46c
Ahipasaoglu, S. Damla, Sun, Peng and Todd, Michael J.
(2008)
Linear convergence of a modified Frank-Wolfe algorithm for computing minimum-volume enclosing ellipsoids.
Optimization Methods and Software, 23 (1), .
(doi:10.1080/10556780701589669).
Abstract
We show the linear convergence of a simple first-order algorithm for the minimum-volume enclosing ellipsoid problem and its dual, the D-optimal design problem of statistics. Using similar techniques, we show the linear convergence of the Frank–Wolfe algorithm with away steps applied to the simplex, under conditions different from those of Guélat and Marcotte. Computational tests confirm the attractive features of this method.
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Published date: February 2008
Keywords:
linear convergence, Frank-Wolfe algorithm, Minimum-volume ellipsoids, optimizing on a simplex
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Local EPrints ID: 443143
URI: http://eprints.soton.ac.uk/id/eprint/443143
ISSN: 1055-6788
PURE UUID: 7d68a08a-f3fd-4cb7-aeb6-c94074d41d78
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Date deposited: 12 Aug 2020 16:32
Last modified: 11 Jul 2024 02:07
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Author:
Peng Sun
Author:
Michael J. Todd
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