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The purpose of this paper is to introduce generalizations of the harmonic balance (or Galerkin method) that accelerate convergence relative to traditional harmonic balance

In the first step the cost function is approximated (or rather weighted) by a Gauss-Newton type method, and in the second step the first order topological derivative of the weighted

It has been observed that minimax rates of convergence in bandit problems and stochastic optimization might differ, which is not the case in our setting for our upper-bounds (one

The Boussinesq system with non-smooth boundary condi- tions : existence, relaxation and topology optimization.... In this paper, we tackle a topology optimization problem which

Dans chaque cas, nous avons utilisé le formalisme des observateurs par intervalles dé- veloppé dans (Mazenc, Bernard, 2011), (Raïssi et al., 2012) et (Dinh et al., 2014) (et

Even in supposedly quasi-static situations such as stress-strain experiments, episodes of shocks or quick rearrangements might happen (and are actually experimentally

We prove convergence in the sense of subsequences for functions with a strict stan- dard model, and we show that convergence to a single critical point may be guaranteed, if the

Run the algorithm on different type of images, with different level of noise (zero mean gaussian noise with standard deviation σ