A new parallel sparse approximation inverse preconditioner in MLFMA
| Autor: | Dong-Ming Zhou, Dao-Pu Xiang, Jianguo He |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Mathematical optimization
Preconditioner Linear system MathematicsofComputing_NUMERICALANALYSIS Inverse Sparse approximation Incomplete LU factorization Computer Science::Numerical Analysis Mathematics::Numerical Analysis Robustness (computer science) Concurrent computing Algorithm Sparse matrix Mathematics |
| Zdroj: | 2010 International Conference on Microwave and Millimeter Wave Technology. |
| DOI: | 10.1109/icmmt.2010.5525277 |
| Popis: | We investigate a new parallel preconditioning technique in the iterative solution of large sparse linear system arising from electromagnetic scattering simulation involving three-dimensional conducting bodies with arbitrary shapes. Previous studies are focused on using static or matrix pattern based incomplete LU (ILU) preconditioners in a localized preconditioner implementation. Our current studies is concerned about preconditioner performance for solving large problems with tens of millions of unknowns, we use a global sparse approximate inverse preconditioner with a static sparsity pattern to achieve robustness and efficiency. |
| Databáze: | OpenAIRE |
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