How to cite this Dataset
Hu, Guannan and Dance, Sarah (2021): MATLAB code for the localized Singular Value Decomposition approach of the Fast Multipole Method (the local SVD-FMM). University of Reading. Software. https://doi.org/10.17864/1947.329
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: https://orcid.org/0000-0003-4305-3658 and Dance, Sarah ORCID: https://orcid.org/0000-0003-1690-3338 |
| Rights-holders: | University of Reading |
| Data Publisher: | University of Reading |
| Publication Year: | 2021 |
| Data last accessed: | 10 December 2024 |
| 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 |
| Rights: | |
| Data Availability: | OPEN |
Altmetric
Actions (Log-in required)
View item