Skip navigation
Skip navigation

Parallelisation of sparse grids for large scale data analysis

Garcke, Jochen; Hegland, Markus; Nielsen, Ole


Sparse grids are the basis for efficient high dimensional approximation and have recently been applied successfully to predictive modelling. They are spanned by a collection of simpler function spaces represented by regular grids. The sparse grid combination technique prescribes how approximations on a collection of anisotropic grids can be combined to approximate high dimensional functions. In this paper we study the parallelisation of fitting data onto a sparse grid. The computation can be...[Show more]

CollectionsANU Research Publications
Date published: 2006
Type: Journal article
Source: ANZIAM Journal
DOI: 10.1017/S1446181100003382


File Description SizeFormat Image
01_Garcke_Parallelisation_of_sparse_2006.pdf149.47 kBAdobe PDF    Request a copy

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

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator