A Smoothing Newton Method with a Mixed Line Search for Monotone Weighted Complementarity Problems

Table 2

The numerical results of Problem 2.

		Algorithm 1	Algorithm 1 in [5]	Algorithm 1 in [1]
		It/Cpu/Val	It/Cpu/Val	It/Cpu/Val
1000	1500	8/5.41e + 00/5.30e − 07	8/4.56e + 00/7.04e − 07	19/1.85e + 01/1.64e − 07
		9/5.64e + 00/5.32e − 08	9/4.78e + 00/7.03e − 09	20/2.00e + 01/1.25e − 07
		8/4.58e + 00/7.84e − 07	8/4.66e + 00/2.68e − 08	15/1.41e + 01/1.10e − 07
		8/3.84e + 00/6.81e − 08	8/4.67e + 00/6.36e − 10	18/1.75e + 01/2.19e − 07
		8/4.22e + 00/2.96e − 08	9/4.89e + 00/8.51e − 09	17/18/5.41e − 07
1500	2000	9/1.19e + 01/6.63e − 08	9/1.13e + 01/3.42e − 10	21/5.45e + 01/2.53e − 07
		10/1.35e + 01/2.51e − 07	12/1.60e + 01/6.32e − 09	23/5.53e + 01/5.90e − 07
		8/1.07e + 01/1.22e − 07	9/1.23e + 01/1.61e − 08	22/5.48e + 01/8.99e − 07
		10/1.31e + 01/2.76e − 08	10/1.26e + 01/4.22e − 09	22/5.32e + 01/2.85e − 07
		9/1.23e + 01/6.89e − 08	10/1.28e + 01/7.38e − 08	20/4.80e + 01/9.96e − 07
2500	3000	10/5.18e + 01/1.65e − 08	12/5.68e + 01/5.01e − 07	33/2.92e + 02/8.33e − 07
		8/4.13e + 01/7.81e − 07	10/4.96e + 01/1.50e − 10	26/2.34e + 02/2.16e − 07
		10/4.80e + 01/1.03e − 09	12/5.99e + 01/3.24e − 08	39/3.63e + 02/6.98e − 07
		9/4.29e + 01/1.82e − 08	12/5.68e + 01/1.78e − 07	35/3.11e + 02/1.07e − 07
		9/4.53e + 01/7.03e − 07	10/4.86e + 01/9.47e − 08	30/2.71e + 02/2.00e − 07