HODLR3D: hierarchical matrices for N-body problems in three dimensions-Reference-Cited by-同舟云学术

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HODLR3D: hierarchical matrices for N-body problems in three dimensions

Published:2024-03-02 Issue: Volume: Page:
ISSN:1017-1398
Container-title:Numerical Algorithms
language:en
Short-container-title:Numer Algor

Author:

A Kandappan V.,Gujjula Vaishnavi,Ambikasaran Sivaram

Funder

Women Leading IITM (India) 2022 in Mathematics

Board of Research in Nuclear Sciences, Department of Atomic Energy, India

MATRICS grant from the Science and Engineering Research Board, India

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11075-024-01765-4.pdf

Reference36 articles.

1. Gray, A., Moore, A.: N-body’ problems in statistical learning. Advances in neural information processing systems 13 (2000)

2. Litvinenko, A., Sun, Y., Genton, M.G., Keyes, D.E.: Likelihood approximation with hierarchical matrices for large spatial datasets. Computational Statistics & Data Analysis. 137, 115–132 (2019)

3. Coulier, P., Darve, E.: Efficient mesh deformation based on radial basis function interpolation by means of the inverse fast multipole method. Comput. Methods Appl. Mech. Eng. 308, 286–309 (2016)

4. Gumerov, N.A., Duraiswami, R.: Fast radial basis function interpolation via preconditioned Krylov iteration. SIAM J. Sci. Comput. 29(5), 1876–1899 (2007)

5. Hackbusch, W.: A sparse matrix arithmetic based on H-matrices. part i:Introduction to H-matrices. Computing. 62(2), 89–108 (1999)

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