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Combining sparsity and dynamics: an efficient way

Abstract

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.
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Dates and versions

hal-01096259 , version 1 (17-12-2014)

Identifiers

  • HAL Id : hal-01096259 , version 1

Cite

Angélique Drémeau, Patrick Héas, Cédric Herzet. Combining sparsity and dynamics: an efficient way. international - Traveling Workshop on Interactions between Sparse models and Technology (iTwist), Aug 2014, Namur, Belgium. ⟨hal-01096259⟩
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