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Dive into the research topics where Rodolfo Bermejo is active.

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Featured researches published by Rodolfo Bermejo.


SIAM Journal on Scientific Computing | 1999

A Multigrid Algorithm for the p -Laplacian

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

A Second Order in Time Modified Lagrange--Galerkin Finite Element Method for the Incompressible Navier--Stokes Equations

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

A Space-Time Adaptive Finite Element Algorithm Based on Dual Weighted Residual Methodology for Parabolic Equations

Rodolfo Bermejo; Jaime Carpio

P2/P1


Mathematical and Computer Modelling | 2009

Mathematical and numerical analysis of a nonlinear diffusive climate energy balance model

Rodolfo Bermejo; Jaime Carpio; Jesús Ildefonso Díaz Díaz; L. Tello

Taylor--Hood element are used.


SIAM Journal on Scientific Computing | 2013

Anisotropic “Goal-Oriented” Mesh Adaptivity for Elliptic Problems

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

Error estimates of proper orthogonal decomposition eigenvectors and Galerkin projection for a general dynamical system arising in fluid models

Pedro Galán del Sastre; Rodolfo Bermejo

I_n:=(t_{n-1},t_n]


SIAM Journal on Scientific Computing | 2013

A Semi-Lagrangian Particle Level Set Finite Element Method for Interface Problems

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

Error Analysis for hp-FEM Semi-Lagrangian Second Order BDF Method for Convection-Dominated Diffusion Problems

Pedro Galán del Sastre; Rodolfo Bermejo

J(u)


SIAM Journal on Scientific Computing | 2015

Modified Lagrange--Galerkin Methods to Integrate Time Dependent Incompressible Navier--Stokes Equations

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

A Stochastic Semi‐Lagrangian Micro‐Macro Model for Liquid Crystalline Solutions

Rodolfo Bermejo; Juan Luis Prieto; Patrick Ilg; Manuel Laso

I:=(0,T]

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Jaime Carpio

Technical University of Madrid

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Laura Saavedra

Technical University of Madrid

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Pedro Galán del Sastre

Technical University of Madrid

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Juan Luis Prieto

Technical University of Madrid

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Manuel Laso

Technical University of Madrid

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Antonio A. Alonso

Spanish National Research Council

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Antonio García Dopico

Technical University of Madrid

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