Abstract
In this paper, we consider the matrices approximated in H 2 format. The direct solution, as well as the preconditioning of systems with such matrices, is a challenging problem. We propose a non-extensive sparse factorization of the H 2 matrix that allows to substitute direct H 2 solution with the solution of the system with an equivalent sparse matrix of the same size. The sparse factorization is constructed of parameters of the H 2 matrix. In the numerical experiments, we show the consistency of this approach in comparison with the other approximate block low-rank hierarchical solvers, such as HODLR [3], H2Lib [5], and IFMM [11].
Original language | English (US) |
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Article number | 52 |
Journal | Advances in Computational Mathematics |
Volume | 46 |
Issue number | 4 |
DOIs | |
State | Published - Jul 1 2020 |
Bibliographical note
Funding Information:Section 2 is supported by Russian Foundation for Basic Research grant 17-01-00854, Sections 3 and 4 are supported by Russian Foundation for Basic Research grant 16-31-60095, Sectiom 5 is supported by Russian Science Foundation grant 15-11-00033.
Publisher Copyright:
© 2020, Springer Science+Business Media, LLC, part of Springer Nature.
Keywords
- H matrix
- Preconditioning
- Sparse factorization
ASJC Scopus subject areas
- Computational Mathematics
- Applied Mathematics