Research Article

Generalized Quadratic Augmented Lagrangian Methods with Nonmonotone Penalty Parameters

Table 2

Result of Example 3.2.


18.4614 (−0.0072, 0.9963, 1.9907, −1.0058) −43.8610
324.2390 (−0.0011, 0.9997, 1.9998, −1.0033) −44.0076
948.5455 (−0.0012, 0.9997, 1.9998, −1.0036) −44.0083

1 8.4430 (0.0017, 1.0017, 2.0063, −1.0073) −44.1314
3 24.7705 (−0.0028, 0.9992, 1.9994, −1.0086) −44.0186
9 48.7133(−0.0014, 0.9996, 1.9997, −1.0044) −44.0097

1 3.8876 (0.0025, 1.0017, 2.0054, −1.0027) −44.1018
3 9.8546 (−0.0027, 0.9992, 1.9994, −1.0085) −44.0190
7 48.2683(0.0005, 1.0002, 2.0006, −0.9987) −44.0050

17.7614 (0.0025, 1.0007, 2.0032, −1.0019) −44.0657
324.6380 (−0.0023, 0.9993, 1.9995, −1.0072) −44.0186
7 48.5943(−0.0012, 0.9997, 1.9998, −1.0036) −44.0081