activity
20182022
most citedError analysis of a residual-based stabilization-motivated POD-ROM for incompressible flows

15 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2022★ 15 cited

Error analysis of a residual-based stabilization-motivated POD-ROM for incompressible flows

Tomás Chacón Rebollo, Samuele Rubino, Mourad Oulghelou +1

This article presents error bounds for a velocity-pressure segregated POD reduced order model discretization of the Navier-Stokes equations. The stability is proven in L infinity (…

math.NA2020★ 1 cited

A Riemannian Barycentric Interpolation : Derivation of the Parametric Unsteady Navier-Stokes Reduced Order Model

M. Oulghelou, C. Allery

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 geome…

cs.CE2020

Data-Driven Optimization Approach for Inverse Problems : Application to Turbulent Mixed-Convection Flows

M. Oulghelou, C. Beghein, C. Allery

Optimal control of turbulent mixed-convection flows has attracted considerable attention from researchers. Numerical algorithms such as Genetic Algorithms (GAs) are powerful tools…

math.OC2019★ 2 cited

Hyper bi-calibrated interpolation on the Grassmann manifold for near real time flow control using genetic algorithm

M. Oulghelou, C. Allery

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 itera…

math.NA2018★ 5 cited

Non intrusive method for parametric model order reduction using a bi-calibrated interpolation on the Grassmann manifold

M. Oulghelou, C. Allery

Approximating solutions of non-linear parametrized physical problems by interpolation presents a major challenge in terms of accuracy. In fact, pointwise interpolation of such solu…