TY - JOUR
T1 - Two sides tangential filtering decomposition
AU - Grigori, Laura
AU - Nataf, Frédéric
AU - Niu, Qiang
N1 - Funding Information:
L. Grigori and F. Nataf are supported by French National Research Fund Agency (ANR) through COSINUS program (project PETAL no ANR-08-COSI-009). Q. Niu is supported by XJTLU research fund and part of his work was performed during his visit at INRIA Sacley funded by China Scholarship Council .
PY - 2011/2/15
Y1 - 2011/2/15
N2 - In this paper we study a class of preconditioners that satisfy the so-called left and/or right filtering conditions. For practical applications, we use a multiplicative combination of filtering based preconditioners with the classical ILU(0) preconditioner, which is known to be efficient. Although the left filtering condition has a more sound theoretical motivation than the right one, extensive tests on convectiondiffusion equations with heterogeneous and anisotropic diffusion tensors reveal that satisfying left or right filtering conditions lead to comparable results. On the filtering vector, these numerical tests reveal that e=[1,⋯,1]T is a reasonable choice, which is effective and can avoid the preprocessing needed in other methods to build the filtering vector. Numerical tests show that the composite preconditioners are rather robust and efficient for these problems with strongly varying coefficients.
AB - In this paper we study a class of preconditioners that satisfy the so-called left and/or right filtering conditions. For practical applications, we use a multiplicative combination of filtering based preconditioners with the classical ILU(0) preconditioner, which is known to be efficient. Although the left filtering condition has a more sound theoretical motivation than the right one, extensive tests on convectiondiffusion equations with heterogeneous and anisotropic diffusion tensors reveal that satisfying left or right filtering conditions lead to comparable results. On the filtering vector, these numerical tests reveal that e=[1,⋯,1]T is a reasonable choice, which is effective and can avoid the preprocessing needed in other methods to build the filtering vector. Numerical tests show that the composite preconditioners are rather robust and efficient for these problems with strongly varying coefficients.
KW - Frequency filtering decomposition
KW - Linear systems of equations
KW - Preconditioner
UR - http://www.scopus.com/inward/record.url?scp=79251593521&partnerID=8YFLogxK
U2 - 10.1016/j.cam.2010.11.016
DO - 10.1016/j.cam.2010.11.016
M3 - Article
AN - SCOPUS:79251593521
SN - 0377-0427
VL - 235
SP - 2647
EP - 2661
JO - Journal of Computational and Applied Mathematics
JF - Journal of Computational and Applied Mathematics
IS - 8
ER -