Abstract
In this paper, we present a preconditioner for large systems of linear equations based on the block decomposition for block-tridiagonal matrices. This decomposition is in many respects similar to the frequency-filtering method of Wittum [8] and also to the frequency-filtering decomposition of Wagner [4]-[6]. In contrast to these methods, our approach requires no pointwise filtering conditions but, as in [1], only averaged ones; this simplifies the implementation without any loss of efficiency. Theoretical analysis of the model problem leads to the convergence rate 1 - O(h1/3). Numerical experiments demonstrate similar convergence behaviour for a wider class of problems.
Original language | English (US) |
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Pages (from-to) | 269-295 |
Number of pages | 27 |
Journal | Numerische Mathematik |
Volume | 97 |
Issue number | 2 |
DOIs | |
State | Published - Apr 2004 |
Externally published | Yes |
ASJC Scopus subject areas
- Computational Mathematics
- Applied Mathematics