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The solution of large-scale optimization and control problems increasingly relies on advanced iterative methods capable of exploiting …

Iterative methods lie at the heart of modern scientific computing, providing efficient and scalable solvers for large-scale systems …

Dans ce minisymposium, nous proposons d’explorer les avancées récentes en calcul scientifique parallèle pour la résolution …

Pricing American options is more complicated than pricing European options, because they can be exercised at any time, and one thus …

This paper focuses on the application of time domain decomposition to solve partial differential equations constrained optimization …

We present here the classical Schwarz method with a time domain decomposition applied to unconstrained parabolic optimal control …

Optimization and inverse problems are ubiquitous in applied mathematics, with applications ranging from engineering and physics to …

PDE-constrained optimization problems play an important role in numerous fields of application, ranging from engineering and physics to …

We present the Dirichlet-Neumann (DN) and Neumann-Neumann (NN) methods applied to the optimal control problems arising from elliptic …

This research school, which is exclusively dedicated to young researchers (PhD students, post-docs…), focuses on this research …