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Table 1 Comparison of efficiency with other method

From: New cautious BFGS algorithm based on modified Armijo-type line search

Functions

Algorithm

Dim

GV

NI

NF

CT

Rosenbrock

CBFGS

2

6.2782e-007

35

74

0.0310s

NCBFGS

2

1.1028e-007

40

70

0.0310s

Freudenstein and Roth

CBFGS

2

7.9817e-007

28

82

0.0310s

NCBFGS

2

2.7179e-007

11

25

0.0320s

Beale

CBFGS

2

7.2275e-007

40

55

0.0310s

NCBFGS

2

3.1136e-007

18

23

0.0470s

Brown badly

CBFGS

2

7.7272e-007

36

223

0.0310s

NCBFGS

2

0

29

50

0.0620s

Broyden tridiagonal

CBFGS

4

7.5723e-007

26

126

0.0320s

NCBFGS

4

3.8712e-007

15

21

0.0310s

Powell singular

CBFGS

4

9.9993e-007

13,993

14,031

2.4530s

NCBFGS

4

9.4607e-007

31

38

0.0320s

Kowalik and Osborne

CBFGS

4

9.9783e-007

3126

3128

2.1250s

NCBFGS

4

4.4454e-007

30

45

0.0470s

Brown almost-linear

CBFGS

6

9.5864e-007

263

300

0.1100s

NCBFGS

6

1.2290e-007

22

30

0.0160s

Discrete boundary

CBFGS

6

8.6773e-007

79

85

0.0470s

NCBFGS

6

3.3650e-007

14

17

0.0320s

Variably dimensioned

CBFGS

8

3.4688e-008

7

51

0.0470s

NCBFGS

8

3.1482e-007

10

21

0.0320s

Extended Rosenbrock

CBFGS

8

8.2943e-007

91

190

0.0470s

NCBFGS

8

7.7959e-007

99

149

0.0320s

Extended Powell singular

CBFGS

8

9.9975e-007

6154

6199

1.4690s

NCBFGS

8

6.5685e-007

42

55

0.0630s

Brown almost-linear

CBFGS

8

9.8392e-007

364

379

0.1880s

NCBFGS

8

4.8080e-007

20

27

0.0780s

Broyden tridiagonal

CBFGS

9

4.4261e-007

38

86

0.0470s

NCBFGS

9

6.2059e-007

41

56

0.0310s

Linear-rank1

CBFGS

10

-

-

-

-

NCBFGS

10

2.6592e-007

4

15

0.0310s

Linear-full rank

CBFGS

12

9.5231e-007

18

36

0.0160s

NCBFGS

12

9.4206e-016

2

3

0.0150s