Block preconditioners for linear systems arising from multiscale collocation with compactly supported RBFs
KAUST Grant NumberKUK- C1-013-04
Online Publication Date2015-04-30
Print Publication Date2015-08
Permanent link to this recordhttp://hdl.handle.net/10754/597686
MetadataShow full item record
Abstract© 2015John Wiley & Sons, Ltd. Symmetric collocation methods with RBFs allow approximation of the solution of a partial differential equation, even if the right-hand side is only known at scattered data points, without needing to generate a grid. However, the benefit of a guaranteed symmetric positive definite block system comes at a high computational cost. This cost can be alleviated somewhat by considering compactly supported RBFs and a multiscale technique. But the condition number and sparsity will still deteriorate with the number of data points. Therefore, we study certain block diagonal and triangular preconditioners. We investigate ideal preconditioners and determine the spectra of the preconditioned matrices before proposing more practical preconditioners based on a restricted additive Schwarz method with coarse grid correction. Numerical results verify the effectiveness of the preconditioners.
CitationFarrell P, Pestana J (2015) Block preconditioners for linear systems arising from multiscale collocation with compactly supported RBFs. Numerical Linear Algebra with Applications 22: 731–747. Available: http://dx.doi.org/10.1002/nla.1984.
SponsorsWe thank the referees for their helpful comments that improved the paper. This work was supported in part by award KUK- C1-013-04, made by King Abdullah University of Science and Technology (KAUST).