Many image analysis and computer vision problems have been expressed as the minimization of global energy functions describing the interactions between the observed data and the image representations to be extracted in a given task. In this note, we investigate a new comprehensive approach to minimi
Minimization of Energy Functionals Applied to Some Inverse Problems
✍ Scribed by C. Léonard
- Publisher
- Springer
- Year
- 2001
- Tongue
- English
- Weight
- 181 KB
- Volume
- 44
- Category
- Article
- ISSN
- 0095-4616
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📜 SIMILAR VOLUMES
## Abstract We investigate the interior regularity of minimizers for an obstacle problem of higher order that can be seen as a model for the behaviour of a plate subject to a rather general constitutive law including nonlinear elastic materials. Copyright © 2008 John Wiley & Sons, Ltd.
The Sobolev gradient technique has been discussed previously in this journal as an efficient method for finding energy minima of certain Ginzburg-Landau type functionals [S. Sial, J. Neuberger, T. Lookman, A. Saxena, Energy minimization using Sobolev gradients: application to phase separation and or
The conjugate gradient method is proposed for minimizing the secondarder A&. Formulae for derivatives are expressed in a constructive way: they specify to which derivatives and with which weight each integral (belonging to a non-redundant list) contrl%utes. The case of geminal functions is fully tre