Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47202
Title: Incomplete factorization for preconditioning shifted linear systems arising in wind modelling
Authors: Florez, E. 
García, M. D.
Rodríguez-Jiménez, E.
Sarmiento, H.
Suárez, A.
Montero, G. 
UNESCO Clasification: 12 Matemáticas
1206 Análisis numérico
Keywords: Conjugate gradient
Genetic algorithms
Incomplete factorization
Mass consistent models
Preconditioning
Shifted linear systems
Wind modelling
Issue Date: 2008
Conference: 6th International Conference on Engineering Computational Technology, ECT 2008 
Abstract: The efficiency of a mass-consistent model for wind field adjustment depends on the stability parameter α. Each simulation with the wind model leads to the resolution of a linear system of equations, the matrix of which depends on a function ε(α), i.e., (M + εN) x ε = b ε , where M and N are constant, symmetric and positive definite. Since each value of ε (α) yields a different linear system, we have to solve a set of them. So we could either construct a different preconditioner for each of them and improve the convergence of PCG at the expense of a high computational cost. On the other hand, a single preconditioner constructed with the first value of ε may be used for all the systems. Here, an intermediate solution is proposed by using a preconditioner, which is constructed once at first and updated for each " at a low computational cost based on incomplete Cholesky factorization of A ε .
URI: http://hdl.handle.net/10553/47202
ISBN: 978-1-905088-24-9
Source: Proceedings of the 6th International Conference on Engineering Computational Technology
Appears in Collections:Actas de congresos
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