Theory and Modern Applications
Table 1 The GPIU algorithm for solving Example 1 with different choices of parameters for \(\alpha =1.5\)
N | M | (ω, δ, s) | CPU (s) | Iter | Error |
|---|---|---|---|---|---|
26 | 93 | (0.8, 0.8, 0.2) | 0.0541 | 9.85 | 2.27e − 07 |
(0.8, 0.9, 0.2) | 0.0465 | 6.97 | 2.16e − 07 | ||
(0.9, 0.9, 0.1) | 0.0672 | 6.98 | 2.14e − 07 | ||
(1, 0.99, 0.01) | 0.0432 | 4 | 2.72e − 08 | ||
(1, 1.1, 0.1) | 0.0498 | 6.98 | 2.16e − 07 | ||
27 | 259 | (0.8, 0.8, 0.2) | 0.4028 | 9.73 | 5.20e − 07 |
(0.8, 0.9, 0.2) | 0.3590 | 6.95 | 5.02e − 07 | ||
(0.9, 0.9, 0.1) | 0.3599 | 6.95 | 5.02e − 07 | ||
(1, 0.99, 0.01) | 0.3286 | 3.98 | 1.73e − 07 | ||
(1, 1.1, 0.1) | 0.4187 | 6.95 | 5.03e − 07 | ||
28 | 728 | (0.8, 0.8, 0.2) | 3.7215 | 9.66 | 1.23e − 06 |
(0.8, 0.9, 0.2) | 3.1373 | 6.93 | 1.18e − 06 | ||
(0.9, 0.9, 0.1) | 3.2618 | 6.93 | 1.18e − 06 | ||
(1, 0.99, 0.01) | 3.4343 | 3.93 | 5.68e − 07 | ||
(1, 1.1, 0.1) | 3.4742 | 6.93 | 1.18e − 06 | ||
29 | 2054 | (0.8, 0.8, 0.2) | 57.9257 | 9.61 | 2.96e − 06 |
(0.8, 0.9, 0.2) | 56.3505 | 6.92 | 2.78e − 06 | ||
(0.9, 0.9, 0.1) | 55.5128 | 6.92 | 2.78e − 06 | ||
(1, 0.99, 0.01) | 53.3056 | 3.92 | 1.27e − 06 | ||
(1, 1.1, 0.1) | 56.5414 | 6.91 | 2.79e − 06 |