Publisher DOI: 10.1016/j.camwa.2018.10.042
Title: Domain decomposition methods in scattered data interpolation with conditionally positive definite radial basis functions
Language: English
Authors: Le Borne, Sabine 
Wende, Michael 
Issue Date: 15-Feb-2019
Source: Computers and Mathematics with Applications 4 (77): 1178-1196 (2019-02-15)
Journal or Series Name: Computers and mathematics with applications 
Abstract (english): © 2018 Elsevier Ltd Scattered data interpolation using conditionally positive definite radial basis functions (RBFs) requires the solution of a symmetric saddle-point system. Based on an approximation of the system matrix as a hierarchical matrix, we solve the system iteratively using the GMRes algorithm and a domain decomposition preconditioner. The novelty of our work lies in the proposed solution of the subdomain problems using the nullspace method with an orthogonal basis represented as a sequence of Householder reflectors. The resulting positive definite subdomain systems are solved either directly or using an inner GMRes iteration with H-Cholesky preconditioning. Numerical tests demonstrate the effectiveness of this solution process for up to N=160000 centers in two and three dimensions. © 2018 Elsevier Ltd
URI: http://hdl.handle.net/11420/2327
ISSN: 0898-1221
Institute: Mathematik E-10 
Type: (wissenschaftlicher) Artikel
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