Skip navigation
Skip navigation

Fitting multidimensional data using gradient penalties and the sparse grid combination technique

Garcke, Jochen; Hegland, Markus

Description

Sparse grids, combined with gradient penalties provide an attractive tool for regularised least squares fitting. It has earlier been found that the combination technique, which builds a sparse grid function using a linear combination of approximations on

dc.contributor.authorGarcke, Jochen
dc.contributor.authorHegland, Markus
dc.date.accessioned2015-12-08T22:43:13Z
dc.date.available2015-12-08T22:43:13Z
dc.identifier.issn0010-485X
dc.identifier.urihttp://hdl.handle.net/1885/37176
dc.description.abstractSparse grids, combined with gradient penalties provide an attractive tool for regularised least squares fitting. It has earlier been found that the combination technique, which builds a sparse grid function using a linear combination of approximations on
dc.publisherSpringer
dc.sourceComputing
dc.subjectKeywords: Amplification; Curve fitting; Partial differential equations; Combination technique; High-dimensional data; Regression; Regularisation; Sparse grids; Laws and legislation Combination technique; High-dimensional data; Regression; Regularisation; Sparse grids
dc.titleFitting multidimensional data using gradient penalties and the sparse grid combination technique
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume84
dc.date.issued2009
local.identifier.absfor010399 - Numerical and Computational Mathematics not elsewhere classified
local.identifier.ariespublicationu9209279xPUB145
local.type.statusPublished Version
local.contributor.affiliationGarcke, Jochen, Technische Universitat Berlin
local.contributor.affiliationHegland, Markus, College of Physical and Mathematical Sciences, ANU
local.bibliographicCitation.issue1-2
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage25
local.identifier.doi10.1007/s00607-009-0027-x
dc.date.updated2016-02-24T11:54:44Z
local.identifier.scopusID2-s2.0-63049098297
local.identifier.thomsonID000264319500001
CollectionsANU Research Publications

Download

There are no files associated with this item.


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator