Research Article
Approximate Crank–Nicolson Algorithm with Higher-Order PML Implementation for Plasma Simulation in Open Region Problems
Table 2
The memory consumption, CFLN, CPU time, iteration steps, and time reduction obtained by different PML algorithms.
| | PML algorithms | CFLN | Steps | Memory (GB) | CPU time (min) | Reduction (%) |
| | FDTD-PML | 1 | 32768 | 1.1 | 4.7 | ‐ | | CNDS-PML | 1 | 32768 | 1.8 | 52.9 | −1025.5 | | CNAFS-PML | 1 | 32768 | 2.5 | 75.1 | −1497.9 | | HO-PML | 1 | 32768 | 1.9 | 22.3 | −377.5 | | Proposed | 1 | 32768 | 3.3 | 81.6 | −1636.2 | | CNDS-PML | 16 | 3277 | 1.8 | 2.2 | 53.2 | | CNAFS-PML | 16 | 3277 | 2.5 | 2.6 | 44.7 | | Proposed | 16 | 3277 | 3.3 | 3.7 | 21.3 |
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