TY - JOUR
T1 - Overlapping domain decomposition method by radial basis functions
AU - Zhou, X.
AU - Hon, Y. C.
AU - Li, Jichun
PY - 2003/1
Y1 - 2003/1
N2 - In this paper, overlapping domain decomposition with both multiplicative and additive Schwarz iterative techniques are incorporated into the radial basis functions for solving partial differential equations. These decomposition techniques circumvent the ill-conditioning problem resulted from using the radial basis functions as a global interpolant. Both the multiplicative and additive Schwarz iterative techniques achieve high performances even without the Krylov subspace accelerators. The effectiveness of the algorithms are demonstrated by performing numerical experiments for both a regular elliptic problem and a singularly perturbed elliptic problem respectively. © 2002 IMACS. Published by Elsevier Science B.V. All rights reserved.
AB - In this paper, overlapping domain decomposition with both multiplicative and additive Schwarz iterative techniques are incorporated into the radial basis functions for solving partial differential equations. These decomposition techniques circumvent the ill-conditioning problem resulted from using the radial basis functions as a global interpolant. Both the multiplicative and additive Schwarz iterative techniques achieve high performances even without the Krylov subspace accelerators. The effectiveness of the algorithms are demonstrated by performing numerical experiments for both a regular elliptic problem and a singularly perturbed elliptic problem respectively. © 2002 IMACS. Published by Elsevier Science B.V. All rights reserved.
KW - Domain decomposition
KW - Parallel computation
KW - Radial basis functions
KW - Singularly perturbed problem
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0037215232&origin=recordpage
U2 - 10.1016/S0168-9274(02)00107-1
DO - 10.1016/S0168-9274(02)00107-1
M3 - RGC 21 - Publication in refereed journal
SN - 0168-9274
VL - 44
SP - 241
EP - 255
JO - Applied Numerical Mathematics
JF - Applied Numerical Mathematics
IS - 1-2
ER -