Rodolfo Bermejo
Technical University of Madrid
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Publication
Featured researches published by Rodolfo Bermejo.
SIAM Journal on Scientific Computing | 1999
Rodolfo Bermejo; Juan-Antonio Infante
We introduce a full approximation storage (FAS) multigrid algorithm to find the finite element solution for a class of nonlinear monotone elliptic problems. Since the solution of the problem is equivalent to minimize a strictly convex functional, we use a Polak--Ribiere conjugate gradient method as the nonlinear smoother in our algorithm. The advantage in so doing is that we do not have to calculate derivatives of operators. We prove local convergence of our algorithm and illustrate its performance by solving benchmark problems.
SIAM Journal on Numerical Analysis | 2012
Rodolfo Bermejo; P. Galán del Sastre; L. Saavedra
We introduce a second order in time modified Lagrange--Galerkin (MLG) method for the time dependent incompressible Navier--Stokes equations. The main ingredient of the new method is the scheme proposed to calculate in a more efficient manner the Galerkin projection of the functions transported along the characteristic curves of the transport operator. We present error estimates for velocity and pressure in the framework of mixed finite elements when either the mini-element or the
SIAM Journal on Scientific Computing | 2009
Rodolfo Bermejo; Jaime Carpio
P2/P1
Mathematical and Computer Modelling | 2009
Rodolfo Bermejo; Jaime Carpio; Jesús Ildefonso Díaz Díaz; L. Tello
Taylor--Hood element are used.
SIAM Journal on Scientific Computing | 2013
Jaime Carpio; Juan Luis Prieto; Rodolfo Bermejo
We propose in this paper a space-time adaptive algorithm based on the dual weighted residual (DWR) idea in the framework of a finite element method. Our algorithm consists of applying the DWR technique locally in each time interval
Numerische Mathematik | 2008
Pedro Galán del Sastre; Rodolfo Bermejo
I_n:=(t_{n-1},t_n]
SIAM Journal on Scientific Computing | 2013
Rodolfo Bermejo; Juan Luis Prieto
, and thus, we control the local or truncation error for a functional of the solution
Journal of Scientific Computing | 2011
Pedro Galán del Sastre; Rodolfo Bermejo
J(u)
SIAM Journal on Scientific Computing | 2015
Rodolfo Bermejo; Laura Saavedra
. The disadvantage of our method compared to the traditional DWR method is that having a good local error control does not guarantee that the global error will be bounded. However, the main advantage of our method is that we avoid solving backward in the whole time interval
NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2009: Volume 1 and Volume 2 | 2009
Rodolfo Bermejo; Juan Luis Prieto; Patrick Ilg; Manuel Laso
I:=(0,T]