Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Preconditioners for low order thin plate spline approximations

Simple item page
dc.contributor.authorStals, Linda
dc.contributor.authorRoberts, Stephen
dc.date.accessioned2015-12-08T22:13:54Z
dc.date.issued2008
dc.date.updated2016-02-24T10:35:13Z
dc.description.abstractA commonly used method for fitting smooth functions to noisy data is the thin-plate spline method. Traditional thin-plate splines use radial basis functions and consequently require the solution of a dense linear system of equations whose dimension grows
dc.identifier.isbn9783540751991
dc.identifier.urihttp://hdl.handle.net/1885/29999
dc.publisherSpringer
dc.relation.ispartofDomain Decomposition Methods in Science and Engineering XVII
dc.relation.isversionof1st Edition
dc.subjectKeywords: Basis functions; Finite element grid; Ill-conditioned; Iterative solvers; Linear system of equations; Low order; Low-order polynomials; Noisy data; Number of datum; Preconditioner; Preconditioners; Radial basis functions; Regularisation; Schwarz method; S
dc.titlePreconditioners for low order thin plate spline approximations
dc.typeBook chapter
local.bibliographicCitation.lastpage646
local.bibliographicCitation.placeofpublicationGermany
local.bibliographicCitation.startpage639
local.contributor.affiliationStals, Linda, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationRoberts, Stephen, College of Physical and Mathematical Sciences, ANU
local.contributor.authoruidStals, Linda, u4042952
local.contributor.authoruidRoberts, Stephen, u8602296
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor010301 - Numerical Analysis
local.identifier.ariespublicationu4085724xPUB70
local.identifier.doi10.1007/978-3-540-75199-1_80
local.identifier.scopusID2-s2.0-78651541829
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Stals_Preconditioners_for_low_order_2008.pdf
Size:
116.27 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS