Fitting multidimensional data using gradient penalties and the sparse grid combination technique
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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.author | Garcke, Jochen | |
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dc.contributor.author | Hegland, Markus | |
dc.date.accessioned | 2015-12-08T22:43:13Z | |
dc.date.available | 2015-12-08T22:43:13Z | |
dc.identifier.issn | 0010-485X | |
dc.identifier.uri | http://hdl.handle.net/1885/37176 | |
dc.description.abstract | 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.publisher | Springer | |
dc.source | Computing | |
dc.subject | Keywords: 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.title | Fitting multidimensional data using gradient penalties and the sparse grid combination technique | |
dc.type | Journal article | |
local.description.notes | Imported from ARIES | |
local.identifier.citationvolume | 84 | |
dc.date.issued | 2009 | |
local.identifier.absfor | 010399 - Numerical and Computational Mathematics not elsewhere classified | |
local.identifier.ariespublication | u9209279xPUB145 | |
local.type.status | Published Version | |
local.contributor.affiliation | Garcke, Jochen, Technische Universitat Berlin | |
local.contributor.affiliation | Hegland, Markus, College of Physical and Mathematical Sciences, ANU | |
local.bibliographicCitation.issue | 1-2 | |
local.bibliographicCitation.startpage | 1 | |
local.bibliographicCitation.lastpage | 25 | |
local.identifier.doi | 10.1007/s00607-009-0027-x | |
dc.date.updated | 2016-02-24T11:54:44Z | |
local.identifier.scopusID | 2-s2.0-63049098297 | |
local.identifier.thomsonID | 000264319500001 | |
Collections | ANU Research Publications |
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