Research Article
Hierarchical Matrices Method and Its Application in Electromagnetic Integral Equations
Table 1
The regression index of different levels of ML-SAI and conventional SAI preconditioning.
| ā | Regression index | Number of unknowns | 957 | 3,972 | 16,473 | 65,892 |
| -Mat. | | 5.568 | 2.297 | 1.371 | 1.042 | | 0.1311 | 0.2440 | 0.3155 | 0.4237 | | 0.08925 | 0.2034 | 0.2523 | 0.2816 | | 1.116E-6 | 0.1112 | 0.1828 | 0.2165 | ML-FMA | None | 5.723 | 2.415 | 1.355 | 0.989 | SAI | 0.1052 | 0.2237 | 0.2844 | 0.3125 |
|
|