A New Hybrid PRPFR Conjugate Gradient Method for Solving Nonlinear Monotone Equations and Image Restoration Problems

Table 4

Test results of the FR algorithm.

No.	Dim	FR algorithm
		NI/NF	CPU	GN
1	3000	29/371	0.203125	9.84E − 06
	9000	21/294	2.25	9.38E − 06
	30000	12/183	3.984375	9.11E − 06
	90000	5/80	2.09375	6.44E − 06
2	3000	13/50	0.078125	6.48E − 06
	9000	12/46	0.484375	7.47E − 06
	30000	11/42	0.984375	8.14E − 06
	90000	10/38	1.484375	9.72E − 06
3	3000	19999/266078	194	1.12E − 03
	9000	19999/265865	2918.28125	1.20E − 03
	30000	19999/265318	6049.65625	7.84E − 04
	90000	19999/266012	8251.859375	3.84E − 04
4	3000	24/72	0.046875	5.59E − 06
	9000	24/72	0.59375	9.65E − 06
	30000	25/75	1.28125	8.80E − 06
	90000	26/78	3.203125	7.62E − 06
5	3000	62/381	0.21875	7.73E − 06
	9000	69/462	3	9.20E − 06
	30000	101/767	12.609375	9.75E − 06
	90000	128/1215	26.90625	8.22E − 06
6	3000	26/165	0.109375	9.06E − 06
	9000	21/127	0.90625	6.10E − 06
	30000	22/134	1.9375	7.51E − 06
	90000	22/134	3.359375	5.31E − 06
7	3000	23/70	0.0625	5.30E − 06
	9000	23/70	0.40625	9.17E − 06
	30000	24/73	1.578125	8.37E − 06
	90000	25/76	1.90625	7.25E − 06
8	3000	1/3	0	3.19E − 08
	9000	1/3	0.078125	0.00E + 00
	30000	1/3	0.140625	0.00E + 00
	90000	1/3	0.03125	0.00E + 00
9	3000	1248/15399	4.46875	9.91E − 06
	9000	1544/19579	125.3125	9.87E − 06
	30000	1175/14881	203.828125	9.96E − 06
	90000	1027/13000	263.96875	9.91E − 06
10	3000	763/8892	2.640625	9.90E − 06
	9000	765/8912	53.84375	9.92E − 06
	30000	806/9498	127.421875	9.65E − 06
	90000	1572/20089	423.4375	9.97E − 06
11	3000	373/4072	1.078125	9.98E − 06
	9000	387/4226	24.71875	9.49E − 06
	30000	402/4393	57.828125	9.77E − 06
	90000	415/4537	97.296875	9.44E − 06
12	3000	10/36	0.0625	7.27E − 06
	9000	9/31	0.21875	5.83E − 06
	30000	6/19	0.234375	7.66E − 06
	90000	6/19	0.765625	3.95E − 06