The Strong Convergence of Prediction-Correction and Relaxed Hybrid Steepest-Descent Method for Variational Inequalities

Table 1

Numerical results for the PRH method and the EC method.

Asymmetric matrix	𝑐0=0.1,  𝜃𝑛=0.8, tolerance = 10^−4
	Condition 10		Condition 12		EC method
𝑛	It	cpu	It	cpu	It	cpu	tolerance
100	201	8.34	130	5.35	100	14.46	8.289𝑒+000
200	333	75.44	208	47.14	100	94.30	1.010𝑒+002
300	443	318.02	272	174.70	100	302.29	4.899𝑒+002
400	543	789.16	330	446.00	100	686.83	9.628𝑒+002
500	647	1747.70	388	972.18	100	1287.36	1.756𝑒+003
1000	1082	19884.30	634	11502.13	100	9220.50	9.826𝑒+003
2000	>2000	>150000	1052	128504.67	100	>74640.41	>5.597𝑒 + 003