J
Javier de Frutos
Researcher at University of Valladolid
Publications - 64
Citations - 852
Javier de Frutos is an academic researcher from University of Valladolid. The author has contributed to research in topics: Finite element method & Navier–Stokes equations. The author has an hindex of 18, co-authored 63 publications receiving 710 citations.
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Analysis of the grad-div stabilization for the time-dependent Navier-Stokes equations with inf-sup stable finite elements
TL;DR: Taking into account the loss of regularity suffered by the solution of the Navier–Stokes equations at the initial time in the absence of nonlocal compatibility conditions of the data, error bounds of order O(h2)$\mathcal O( h^{2})$ in space are proved.
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Spatial effects and strategic behavior in a multiregional transboundary pollution dynamic game
TL;DR: In this article, a transboundary pollution differential game where pollution control is spatially distributed among a number of agents with predetermined spatial relationships is analyzed, and the authors evaluate the impact of the strategic and spatially dynamic behaviour of the agents on the design of equilibrium environmental policies.
Grad-div stabilization for the evolutionary Oseen problem with inf-sup stable finite elements
TL;DR: The main goal is to prove that adding a grad-div stabilization term to the Galerkin approximation has a stabilizing effect for small viscosity, and error bounds are obtained that do not depend on the inverse of the Viscosity in the case where the solution is sufficiently smooth.
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Grad-div Stabilization for the Evolutionary Oseen Problem with Inf-sup Stable Finite Elements
TL;DR: In this article, an approximation of the time-dependent Oseen problem using inf-sup stable mixed finite elements in a Galerkin method with grad-div stabilization is studied.
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A Spectral Element Method for the Navier--Stokes Equations with Improved Accuracy
Javier de Frutos,Julia Novo +1 more
TL;DR: This procedure improves the order of convergence for the approximations to the velocity and the pressure and choice of a discrete pressure space endowed with an inf-sup condition independent of the discretization parameter leads to optimal error bounds for the pressure.