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Numerical results for the paper "A Sequential Quadratic Programming Algorithm for Solving General Nonlinear Programming Problems”  

2011-09-03 18:50:30|  分类: My paper |  标签: |举报 |字号 订阅

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Numerical results in Guo’s paper ( A Sequential Quadratic Programming Algorithm for Solving General Nonlinear Programming Problems).

 

Table 1. Numerical results for figure 1, Compared with ALGO C by the number of iterations.

Problem number

ALGO 1

Algorithm C

 

Ni

Fv

Ni

Fv

HS006

9

3.3610e-15

19

1.3870e-19

HS007

12

-1.7321e+00

9

-1.7321e+00

HS008

4

-1

1

-1.0000e+00

HS009

8

-5.0000e-01

30

-4.9487e-01

HS014

7

1.3935e+00

5

1.3935e+00

HS026

33

2.9315e-18

21

1.1529e-08

HS027 

29

4.0000e-02

196

4.0000e-02

HS028

10

2.7198e-13

16

1.7747e-13

HS032

7

1.0000e+00

6

1.0000e+00

HS039 

13

-1.0000e+00

15

-1.0000e+00

HS040 

5

-2.5000e-01

6

-2.5000e-01

HS042 

9

1.3858e+01

9

1.3858e+01

HS046

247

1.4607e-19

338

3.6244e-07      

HS047 

25

2.3040e-15

35

9.4583e-11

HS048

9

3.8096e-14

12

3.0524e-12

HS049 

46

4.9478e-21

252

4.3567e-10

HS050 

20

1.1870e-11

280

5.5813e-12

HS051 

8

1.8492e-11

10

1.1323e-09

HS052 

45

5.3266e+00

8

5.3266e+00

HS053

11

4.0930e+00

15

4.0930e+00

HS054

9

1.9286e-01

1

-8.4499e-286

HS056

17

-3.4560e+00

27

-3.4560e+00

HS060

9

3.2568e-02

15

3.2568e-02

HS062

14

-2.6266e+04

8

-2.6273e+04

HS063

8

9.6172e+02

18

9.6173e+02

HS073

4

2.9894e+01

21

2.9894e+01

HS077

26

2.4151e-01

80

2.2831e-01

HS078

6

-2.9197e+00

7

-2.9197e+00

HS079

19

7.8777e-02

11

7.8777e-02

HS080

15

5.3950e-02

14

5.3950e-02

HS081

20

5.3950e-02

16

5.3950e-02

HS099

17

-7.8400e+08

10

-8.3108e+08

HS107

15

5.0550e+03

11

5.0550e+03

HS111

442

-4.7720e+01

1281

-4.7761e+01

HS112

37

-4.7761e+01

500

-4.7761e+01

 

 

 

 

 

Notes: the above all test problems have equality constraints, results for ALGO C come from the paper “Y.L. Wang, L.F. Chen, and G.P. He, Sequential systems of linear equations method for general constrained optimization without strict complementarity, J. Computat. Appl. Math. 182(2005), pp. 447-471.”

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