Skip to main content

Theory and Modern Applications

Table 4 Numerical results of Example 4

From: On q-BFGS algorithm for unconstrained optimization problems

Starting point

BFGS algorithm [23]

it

fe

ge

\(x^{*}\)

\(f(x^{*})\)

\((4 , 3)^{T}\)

31

173

33

\((0.999, 0.999)^{T}\)

7.75e − 16

\((-3, 1)^{T}\)

19

115

22

\((0.999, 0.999)^{T}\)

1.01e − 16

\((-1, 3)^{T}\)

30

172

35

\((1.000, 1.000)^{T}\)

6.33e − 17

\((-1.5, 3.7)^{T}\)

30

171

35

\((0.999, 0.999)^{T}\)

4.14e − 16

\((-1 , 4)^{T}\)

25

142

29

\((0.999 , 0.999)^{T}\)

1.62e − 16

\((1, -1)^{T}\)

15

91

17

\((1.000 , 1.000)^{T}\)

8.33e − 17

\((-4, 2)^{T}\)

27

158

33

\((0.999, 0.999)^{T}\)

1.87e − 15

\((-1, -4)^{T}\)

22

132

26

\((1.000 , 1.000)^{T}\)

3.02e − 16

\((-2, 2)^{T}\)

27

149

31

\((0.999 , 0.998)^{T}\)

8.51e − 15

\((-5, 6)^{T}\)

30

171

34

\((0.999 , 0.999)^{T}\)

4.02e − 16

\((-3, 6)^{T}\)

25

149

29

\((0.999, 0.999)^{T}\)

7.89e − 16

\((4, -5)^{T}\)

22

126

24

\((0.999 , 0.999)^{T}\)

3.90e − 16

\((4, -7)^{T}\)

21

128

24

\((1.000 , 1.000)^{T}\)

1.22e − 15

\((-5, -3)^{T}\)

22

125

23

\((0.999 , 0.999)^{T}\)

1.08e − 15

\((4, -5.6)^{T}\)

24

141

28

\((0.999 , 0.999)^{T}\)

3.96e − 16

\((-8, 2)^{T}\)

11

74

13

\((1.000 , 1.000)^{T}\)

4.03e − 16

\((-5, 7)^{T}\)

30

175

37

\((1.000 , 1.000)^{T}\)

2.70e − 16

\((-2, 6)^{T}\)

36

192

41

\((0.999 , 0.999)^{T}\)

7.46e − 17

\((1, -5)^{T}\)

16

97

20

\((1.000 , 1.000)^{T}\)

2.94e − 16

\((-3, -4)^{T}\)

26

151

30

\((0.999 , 0.999)^{T}\)

1.76e − 16

\((8, 1)^{T}\)

31

178

34

\((0.999 , 0.999)^{T}\)

7.60e − 16

\((3, -7)^{T}\)

12

77

15

\((0.999 , 0.999 )^{T}\)

1.30e − 16

\((4, -5)^{T}\)

22

126

24

\((0.999 , 0.999)^{T}\)

3.90e − 16

\((-5, -2)^{T}\)

21

125

24

\((1.000 , 1.000)^{T}\)

3.63e − 16

\((4, -6)^{T}\)

22

134

26

\((0.999 , 0.999)^{T}\)

7.36e − 16

\((3, -4)^{T}\)

18

110

23

\((0.999 , 0.999)^{T}\)

3.93e − 16

\((4, -4)^{T}\)

24

140

25

\((0.999 , 0.999)^{T}\)

3.97e − 16