University of Reading Research Data Archive

MATLAB code for the localized Singular Value Decomposition approach of the Fast Multipole Method (the local SVD-FMM)

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Description

The local SVD-FMM is a new numerical approximation method for the fast computation of matrix-vector products. The acronym SVD stands for singular value decomposition and FMM stands for fast multipole method. This MATLAB code was written for the numerical experiments in a related publication, which show the application of the method to numerical weather prediction data assimilation. However, the code can be adapted to a wider range of applications, provided that the matrices therein are generated in the way described in the Methods section at the bottom of the README file. More information can be found in the related publication.

Resource Type: Software
Creators: Hu, Guannan ORCID logoORCID: https://orcid.org/0000-0003-4305-3658 and Dance, Sarah ORCID logoORCID: https://orcid.org/0000-0003-1690-3338
Rights-holders: University of Reading
Data Publisher: University of Reading
Publication Year: 2021
Data last accessed: 21 July 2022
DOI: https://doi.org/10.17864/1947.329
Metadata Record URL: https://researchdata.reading.ac.uk/id/eprint/329
Organisational units: Science > School of Mathematical, Computational and Physical Sciences > Department of Mathematics and Statistics
Science > School of Mathematical, Computational and Physical Sciences > Department of Meteorology
Participating Organisations: University of Reading
Keywords: local SVD-FMM, matrix-vector products
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