Infinite Dimensional Singularly Perturbed Dynamical Systems (Theory and Applications)
FR
Schémas et stratégies pour la propagation et l analyse des incertitudes dans la simulation d écoulements
FR
Structured matrix methods for computations on Bernstein basis polynomials
This thesis considers structure preserving matrix methods for computations on Bernstein polynomials whose coefficients are corrupted by noise. The ill-posed operations of greatest common divisor computations and polynomial division are considered, and it is shown that structure preserving matrix methods yield excellent results. With respect to grea...
Advanced stochastic approximation frameworks and their applications
This thesis makes two extensions to the standard stochastic approximation framework in order to study learning algorithms in different environments. In particular, the aim of this has been to study fictitious play and stochastic fictitious play in more complex frameworks than the usual, normal form game environment. However, these stochastic approx...
Advanced stochastic approximation frameworks and their applications
United Kingdom
Hybrid evolutionary alogrithms and local search techniques
United Kingdom
A Grounded Theory of emergent benefit in pervasive game experiences
United Kingdom
Développement et évaluation de la méthode de Galerkin discontinue pour la simulation des grandes échelles des écoulement...
FR
Development of the Discontinuous Galerkin method for the large-eddy simulation of turbulent flows / Développement et éva...
Cette thèse vise à développer et évaluer la méthode de Galerkin discontinue (DG) pour la simulationdes grandes échelles (LES) des écoulements turbulents. L approche DG présente un nombre d avantages intéressants pour la LES : ordre élevé, stencil compact, prise en compte des maillages non structurés et expression de la solution numérique dans une b...
Contributions to the Bayesian analysis of mixture models
Mixture models can be used to approximate irregular densities or to model heterogeneity. ·When a density estimate is needed, then we can approximate any distribution on the real line using an infinite number of normals (Ferguson (1983)). On the other hand, when a mLxture model is used to model heterogeneity, there is a proper interpretation for eac...
