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Parallelisation of sparse grids for large scale data analysis

Hegland, Markus; Nielsen, Ole; Garcke, Jochen

Description

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
URI: http://hdl.handle.net/1885/88490
Source: Computational Science - ICCS 2003

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