方法

初值点

最优解

最优值

迭代次数

精度

梯度法

(1, 1)

(6.9011, 3.1754)

157.6921

20

ε = 0.1

(7, 4)

(6.9473, 3.0935)

157.6910

17

ε = 0.1

(18, 18)

(6.8988, 3.1761)

157.6920

25

ε = 0.1

阻尼牛顿法

(1, 1)

(−9.3054, −5.9231)

0.1573

5

ε = 0.1

(5, 4)

(6.9216, 3.1381)

157.6933

5

ε = 0.1

(7, 4)

(6.9205, 3.1383)

157.6933

4

ε = 0.1

(18, 18)

(20.9756, 20.7512)

0.0812

2

ε = 0.1

DFP拟牛顿法

(1, 1)

(6.9201, 3.1403)

157.6933

11

ε = 0.1

(7, 4)

(6.9201, 3.1403)

157.6933

11

ε = 0.1

(20, 20)

(6.9201, 3.1403)

151.8361

190

ε = 0.1

GN算法

(1, 1)

(6.9202, 3.1402)

157.6933

10

ε 1 = 0.1 , ε 2 = 1

(5, 4)

(6.9206, 3.1399)

157.6933

5

ε 1 = 0.1 , ε 2 = 1

(7, 4)

(6.9303, 3.1271)

157.6929

5

ε 1 = 0.1 , ε 2 = 1

(18, 18)

(6.9214, 3.1393)

157.6933

25

ε 1 = 0.1 , ε 2 = 0.2

GNN算法

(1, 1)

(6.7779, 3.3778)

157.6579

10

ε 1 = 0.1 , ε 2 = 0.2

(5, 4)

(6.8070, 3.3347)

157.6579

5

ε 1 = 0.1 , ε 2 = 0.2

(7, 4)

(6.9608, 3.0714)

157.6883

5

ε 1 = 0.1 , ε 2 = 0.2

(18, 18)

(6.8112, 3.3338)

157.6574

20

ε 1 = 0.1 , ε 2 = 0.2