Filtering Algebraic Multigrid and Adaptive Strategies
Solving linear systems arising from systems of partial differential equations, multigrid and multilevel methods have proven optimal complexity and efficiency properties. Due to shortcomings of geometric approaches, algebraic multigrid methods have been developed. One example is the filtering algebraic multigrid method introduced by C. Wagner. This paper proposes a variant of Wagner's method with substantially improved robustness properties. The method is used in an adaptive, self-correcting framework and tested numerically.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 893975
- Report Number(s):
- UCRL-PROC-218762
- Country of Publication:
- United States
- Language:
- English
Sparse approximate inverse smoothers for geometric and algebraic multigrid
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journal | April 2002 |
Adaptive Smoothed Aggregation ($\alpha$SA)
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journal | January 2004 |
Adaptive Algebraic Multigrid
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journal | January 2006 |
Adaptive filtering
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journal | December 1997 |
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