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Table 9 Test result for Problem 8

From: A method with inertial extrapolation step for convex constrained monotone equations

DIM

\((x_{0}, x_{1})\)

IPDY

PDY

NI

NF

CPU

NI

NF

CPU

1000

\((x_{1},x_{2})\)

13

52

0.047278

17

68

0.017428

\((x_{2},x_{2})\)

12

48

0.018759

17

68

0.017513

\((x_{3},x_{3})\)

5

20

0.037937

5

20

0.006891

\((x_{4},x_{4})\)

7

28

0.01145

18

72

0.013338

\((x_{5},x_{5})\)

13

52

0.018218

19

76

0.017099

\((x_{6},x_{6})\)

13

51

0.019231

18

71

0.024026

\((x_{7},x_{7})\)

20

80

0.072003

19

76

0.024216

5000

\((x_{1},x_{2})\)

13

52

0.1766

18

72

0.31792

\((x_{2},x_{2})\)

13

52

0.062472

17

68

0.071077

\((x_{3},x_{3})\)

5

20

0.042518

5

20

0.016293

\((x_{4},x_{4})\)

7

28

0.18377

19

76

0.075083

\((x_{5},x_{5})\)

14

56

0.082247

20

80

0.05464

\((x_{6},x_{6})\)

14

55

0.051198

19

75

0.071584

\((x_{7},x_{7})\)

21

84

0.091359

19

76

0.49819

10,000

\((x_{1},x_{2})\)

13

52

0.071794

18

72

0.34353

\((x_{2},x_{2})\)

13

52

0.096188

18

72

0.10846

\((x_{3},x_{3})\)

5

20

0.08997

5

20

0.026613

\((x_{4},x_{4})\)

7

28

0.049831

20

80

0.094635

\((x_{5},x_{5})\)

14

56

0.1608

20

80

0.13325

\((x_{6},x_{6})\)

14

56

0.10315

21

84

0.23725

\((x_{7},x_{7})\)

22

88

0.21037

20

80

0.14349

50,000

\((x_{1},x_{2})\)

14

56

1.3873

19

76

0.8772

\((x_{2},x_{2})\)

13

52

0.48713

19

76

0.39603

\((x_{3},x_{3})\)

6

24

0.19012

5

20

0.12496

\((x_{4},x_{4})\)

8

32

0.212

21

84

0.51621

\((x_{5},x_{5})\)

15

60

0.47484

21

84

0.55585

\((x_{6},x_{6})\)

15

60

0.46325

21

84

0.56854

\((x_{7},x_{7})\)

23

92

0.71778

21

84

0.58178

100,000

\((x_{1},x_{2})\)

8

32

0.38132

20

80

0.90233

\((x_{2},x_{2})\)

14

56

0.84004

19

76

0.75693

\((x_{3},x_{3})\)

6

24

0.26154

5

20

0.18686

\((x_{4},x_{4})\)

16

64

1.0809

22

88

2.3305

\((x_{5},x_{5})\)

16

64

1.0547

22

88

1.1825

\((x_{6},x_{6})\)

16

64

1.0315

22

88

1.4144

\((x_{7},x_{7})\)

24

96

1.6254

20

80

1.1643