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Table 6 Test result for Problem 5

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

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

9

36

0.054204

15

60

0.014197

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

10

40

0.017794

16

64

0.014104

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

11

44

0.016521

16

64

0.019131

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

11

44

0.024269

15

60

0.013714

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

11

44

0.014339

17

68

0.013673

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

11

44

0.01843

17

68

0.015563

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

21

84

0.074477

17

68

0.012997

5000

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

9

36

0.089441

16

64

0.055828

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

11

44

0.12174

16

64

0.034553

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

11

44

0.034213

17

68

0.39755

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

11

44

0.094632

16

64

0.059572

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

12

48

0.26357

17

68

0.039368

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

12

48

0.099053

19

76

0.055029

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

22

88

0.15821

18

72

0.085236

10,000

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

9

36

0.27567

16

64

0.17337

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

11

44

0.10903

17

68

0.081115

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

11

44

0.13007

17

68

0.058728

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

12

48

0.063544

19

76

0.1323

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

12

48

0.062452

18

72

0.079782

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

12

48

0.10251

19

76

0.6484

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

24

96

0.20202

18

72

0.11402

50,000

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

10

40

0.22994

17

68

0.30098

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

12

48

0.36531

17

68

0.23896

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

13

52

0.23288

18

72

0.30252

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

14

56

0.64547

20

80

0.40897

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

15

60

0.31616

20

80

1.1317

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

16

64

0.75731

22

88

0.45799

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

21

84

0.47342

19

76

0.26783

100,000

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

10

40

0.41965

17

68

0.56148

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

12

48

0.46951

18

72

0.60414

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

12

48

0.42241

19

76

0.61453

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

15

60

0.98056

22

88

0.81583

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

15

60

1.0268

24

96

1.0713

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

17

68

1.0367

26

104

1.1566

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

20

80

0.81391

19

76

0.58601