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pro vyhledávání: '"Oulghelou, M."'
Generally, reduced order models of fluid flows are obtained by projecting the Navier-Stokes equations onto a reduced subspace spanned by vector functions that carry the meaningful information of the dynamics. A common method to generate such subspace
Externí odkaz:
http://arxiv.org/abs/2304.14183
Publikováno v:
In Journal of Computational Physics 15 December 2024 519
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 December 2024 432 Part A
Autor:
Oulghelou, M., Allery, C.
A new application of subspaces interpolation for the construction of nonlinear Parametric Reduced Order Models (PROMs) is proposed. This approach is based upon the Riemannian geometry of the manifold formed by the quotient of the set of full-rank N-b
Externí odkaz:
http://arxiv.org/abs/2009.11231
Optimal control of turbulent mixed-convection flows has attracted considerable attention from researchers. Numerical algorithms such as Genetic Algorithms (GAs) are powerful tools that allow to perform global optimization. These algorithms are partic
Externí odkaz:
http://arxiv.org/abs/2009.06724
Autor:
Oulghelou, M., Allery, C.
Most genetic algorithms (GAs) used in literature to solve control problems are time consuming and involve important storage memory requirements. In fact, the search in GAs is iteratively performed on a population of chromosomes (control parameters).
Externí odkaz:
http://arxiv.org/abs/1903.03611
Autor:
Oulghelou, M., Allery, C.
Approximating solutions of non-linear parametrized physical problems by interpolation presents a major challenge in terms of accuracy. In fact, pointwise interpolation of such solutions is rarely efficient and leads generally to incorrect results. Ho
Externí odkaz:
http://arxiv.org/abs/1901.03177
Publikováno v:
In Computers and Fluids 15 June 2022 241
Autor:
Oulghelou, M., Allery, C.
Publikováno v:
In Journal of Computational Physics 1 February 2021 426
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