Block preconditioners for linear systems arising from multiscale collocation with compactly supported RBFs. Issue 4 (30th April 2015)

• Record Type: Journal Article
• Authors: Farrell, Patricio; Pestana, Jennifer
• Is Part Of: Numerical linear algebra with applications. Volume 22:Issue 4(2015:Jul.)
• Page Start: 731
• Page End: 747
• Publication Date: 2015-04-30
• Subjects: Algebras, Linear -- Periodicals; 512.5
• DOI: 10.1002/nla.1984
• Languages: English
• ISSNs: 1070-5325

Abstract

<abstract abstract-type="main" id="nla1984-abs-0001"> <title>Summary</title> <p id="nla1984-para-0001">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. Copyright © 2015 John Wiley &amp; Sons, Ltd.</p> </abstract>