Geometric dynamics of optimization
Abstract
This paper investigates a family of dynamical systems arising from an evolutionary re-interpretation of certain optimal control and optimization problems. We focus particularly on the application in image registration of the theory of metamorphosis. Metamorphosis is a means of tracking the optimal changes of shape that are necessary for registration of images with various types of data structures, without requiring that the transformations of shape be diffeomorphisms, but penalizing them if they are not. The possibilities of this approach arc just beginning to be developed. In particular, metamorphosis and its related variants in the geometric approach to control and optimization can be expected to produce many exciting opportunities for new applications and analysis in geometric dynamics.
Additional Information
© 2013 International Press. Received: June 20, 2011; accepted (in revised form): May 4, 2012. Communicated by Andrea Bertozzi. We are grateful to A. M. Bloch, M. Bruveris, P. Constantin, C. J. Cotter, D. C. P. Ellis, B. A. Khesin, J. E. Marsden, D. Meier, A. Trouvé, F.-X. Vialard, and L. Younes for many useful and pleasant conversations about these and related matters. We also thank the referees for their thoughtful and constructive suggestions, which definitely improved the paper. The work by DDH was partially supported by a Wolfson Award from the Royal Society of London and an Advanced Grant from the European Research Council. FGB acknowledges the partial support of Swiss National Science Foundation grants 200020-117511 and of a Swiss National Science Foundation Postdoctoral Fellowship. TSR acknowledges the partial support of Swiss National Science Foundation grants 200020-117511, 200020-126630, and by the government grant of the Russian Federation for support of research projects implemented by leading scientists, Lomonosov Moscow State University under the agreement No. 11.G34.31.0054.Attached Files
Published - Gay-Balmaz_2013p163.pdf
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Additional details
- Eprint ID
- 36892
- Resolver ID
- CaltechAUTHORS:20130213-085449317
- Royal Society of London Wolfson Award
- European Research Council Advanced Grant
- 200020-11751
- Swiss National Science Foundation
- 200020-12630
- Swiss National Science Postdoctoral Fellowship
- Russian Federation government grant
- 11.G34.31.0054
- Lomonosov Moscow State University
- Created
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2013-02-13Created from EPrint's datestamp field
- Updated
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2020-03-09Created from EPrint's last_modified field