Carmen Rodrigo
University of Zaragoza
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Featured researches published by Carmen Rodrigo.
SIAM Journal on Scientific Computing | 2014
Francisco José Gaspar; Yvan Notay; Cornelis W. Oosterlee; Carmen Rodrigo
We consider the multigrid solution of the generalized Stokes equations with a segregated (i.e., equationwise) Gauss--Seidel smoother based on a Uzawa-type iteration. We analyze the smoother in the framework of local Fourier analysis, and obtain an analytic bound on the smoothing factor showing uniform performance for a family of Stokes problems. These results are confirmed by the numerical computation of the two-grid convergence factor for different types of grids and discretizations. Numerical results also show that the actual convergence of the W-cycle is approximately the same as that obtained by a Vanka smoother, despite this latter smoother being significantly more costly per iteration step.
SIAM Journal on Scientific Computing | 2010
Carmen Rodrigo; Francisco José Gaspar; Cornelis W. Oosterlee; Irad Yavneh
The full multigrid (FMG) algorithm is often claimed to achieve so-called discretization-level accuracy. In this paper, this notion is formalized by defining a worst-case relative accuracy measure, denoted
Numerical Linear Algebra With Applications | 2009
Francisco José Gaspar; Francisco Javier Lisbona; Jose L. Gracia; Carmen Rodrigo
E_{FMG}^{\ell}
Mathematical Modelling and Analysis | 2010
Francisco José Gaspar; Francisco Javier Lisbona; Carmen Rodrigo
, which compares the total error of the
Journal of Computational and Applied Mathematics | 2010
Francisco José Gaspar; Jose L. Gracia; Francisco Javier Lisbona; Carmen Rodrigo
\ell
Journal of Computational and Applied Mathematics | 2017
Xiaozhe Hu; Carmen Rodrigo; Francisco José Gaspar; Ludmil Zikatanov
-level FMG solution against the inherent discretization error. This measure can be used for tuning algorithmic components so as to obtain discretization-level accuracy. A Fourier analysis is developed for estimating
Numerical Linear Algebra With Applications | 2017
Peiyao Luo; Carmen Rodrigo; Francisco José Gaspar; Cornelis W. Oosterlee
E_{FMG}^{\ell}
Concurrency and Computation: Practice and Experience | 2017
Alexander Grebhahn; Carmen Rodrigo; Norbert Siegmund; Francisco José Gaspar; Sven Apel
, and the resulting estimates are confirmed by numerical tests.
Numerical Linear Algebra With Applications | 2013
P. Salinas; Carmen Rodrigo; Francisco José Gaspar; Francisco Javier Lisbona
Multigrid methods for a stencil-based implementation of a finite element method for planar elasticity, using semi-structured triangular grids, are presented. Local Fourier Analysis (LFA) is applied to identify the correct multigrid components. To this end, LFA for multigrid methods on regular triangular grids is extended to the case of the problem of planar elasticity, although its application to other systems is straightforward. For the discrete elasticity operator obtained with linear finite elements, different collective smoothers such as three-color smoother and some zebra-type smoothers are analyzed, and LFA results for these smoothers are shown. The multigrid method is constructed in block-wise form. In particular, different smoothers and different numbers of preand postsmoothing steps are considered in each triangle of the coarsest triangulation of the domain. Some numerical experiments are presented to illustrate the efficiency of this multigrid algorithm.
Applied Mathematics and Computation | 2012
Carmen Rodrigo; Francisco José Gaspar; Francisco Javier Lisbona
Abstract An efficient multigrid finite element method for vector problems on triangular anisotropic semi‐structured grids is proposed. This algorithm is based on zebra line‐type smoothers to overcome the difficulties arising when multigrid is applied on stretched meshes. In order to choose the type of multigrid cycle and the number of pre‐ and post‐smoothing steps, a three‐grid Fourier analysis is done. To this end, local Fourier analysis (LFA) on triangular grids for scalar problems is extended to the vector case. To illustrate the good performance of the method, a system of reaction‐diffusion is considered as model problem. A very satisfactory global convergence factor is obtained by using a V(0,2)‐cycle for domains triangulated with highly anisotropic meshes.