Combining sparsity and dynamics: an efficient way
Résumé
Most linear sparse representation algorithms can be straightforwardly extended to non-linear models. Their performance however, relies on an efficient computation of the gradient of the objective function. In this paper, we focus on a particular non-linear model, defined as the nested composition of functions and propose to resort to a well-known technique from the theory of optimal control to compute the gradient. As a proof of con-cept, this computation is then implemented into the optimization procedure proposed byCan es et al., and applied to a geophysical dynamical model.
Origine : Fichiers produits par l'(les) auteur(s)
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