Skip navigation
Skip navigation

Parallelisation of sparse grids for large scale data analysis

Hegland, Markus; Nielsen, Ole; Garcke, Jochen


Sparse Grids (SG), due to Zenger, 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 combination technique prescribes how approximations on simple grids can be combined to approximate the high dimensional functions. It can be improved by iterative refinement. Fitting sparse grids admits the exploitation of parallelism at...[Show more]

CollectionsANU Research Publications
Date published: 2003
Type: Conference paper
Source: Computational Science - ICCS 2003


There are no files associated with this item.

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

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator