Parallelisation of sparse grids for large scale data analysis
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Garcke, Jochen; Hegland, Markus; Nielsen, Ole
Description
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]
Collections | ANU Research Publications |
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Date published: | 2006 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/25697 |
Source: | ANZIAM Journal |
DOI: | 10.1017/S1446181100003382 |
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01_Garcke_Parallelisation_of_sparse_2006.pdf | 149.47 kB | Adobe PDF | ![]() |
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