Research Article

Generalized Quadratic Augmented Lagrangian Methods with Nonmonotone Penalty Parameters

Table 1

Result of Example 3.1.


12.5147 (0.6722, 0.6722) 0.4029
42.5147 (0.6950, 0.6950) 0.3675
62.5147(0.7071, 0.7071) 0.3431

1 10.4139 (0.6612, 0.6612) 0.3924
3 10.4139 (0.6981, 0.6981) 0.3526
5 10.4139 (0.7071, 0.7071) 0.3432

1 17.5462 (0.6517, 0.6517) 0.3676
3 17.5462 (0.6992, 0.6992)0.3450
5 17.5462(0.7071, 0.7071) 0.3432

117.5462 (0.6388, 0.6388) 0.3033
317.5462 (0.7273, 0.7273) 0.3230
517.5462(0.7071, 0.7071) 0.3431