A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations

Table 1

Numerical results on Problem 1.

Init (n)	LJJ CGPM	PDY	ATTCGP
	Itr/NF/Tcpu/	Itr/NF/Tcpu/	Itr/NF/Tcpu/
	8/23/0.025/3.939e − 07	16/49/0.043/9.317e − 07	20/62/0.047/6.199e − 07
	7/19/0.016/4.751e − 07	15/46/0.035/5.458e − 07	18/55/0.036/6.052e − 07
	10/28/0.011/4.686e − 07	12/37/0.015/8.832e − 07	14/43/0.017/9.585e − 07
	16/43/0.030/1.287e − 08	17/52/0.036/5.220e − 07	25/79/0.035/7.025e − 07
	11/31/0.021/4.987e − 07	14/44/0.024/4.552e − 07	16/50/0.021/7.025e − 07
	16/43/0.030/1.291e − 08	17/52/0.039/5.225e − 07	25/79/0.031/5.167e − 07
	16/43/0.029/1.287e − 08	17/52/0.037/5.220e − 07	25/79/0.034/7.025e − 07
	8/23/0.096/8.808e − 07	18/57/0.229/9.221e − 07	21/65/0.238/5.544e − 07
	8/21/0.078/1.062e − 08	16/49/0.185/4.039e − 07	19/58/0.207/5.413e − 07
	10/28/0.059/4.686e − 07	12/37/0.080/8.832e − 07	14/43/0.093/9.585e − 07
	16/43/0.150/2.881e − 08	18/57/0.212/6.743e − 07	27/86/0.187/8.395e − 07
	11/31/0.105/4.987e − 07	14/44/0.129/4.552e − 07	16/50/0.123/7.025e − 07
	16/43/0.151/2.883e − 08	18/57/0.215/6.743e − 07	27/86/0.191/8.174e − 07
	16/43/0.151/2.881e − 08	18/57/0.215/6.743e − 07	27/86/0.193/8.395e − 07
	9/25/0.185/1.246e − 08	19/63/0.500/7.471e − 07	21/65/0.496/7.841e − 07
	8/21/0.159/1.502e − 08	16/49/0.377/5.712e − 07	19/58/0.412/7.655e − 07
	10/28/0.129/4.686e − 07	12/37/0.193/8.832e − 07	14/43/0.186/9.585e − 07
	16/43/0.307/4.076e − 08	18/57/0.436/9.535e − 07	28/89/0.412/5.734e − 07
	11/31/0.207/4.987e − 07	14/44/0.251/4.552e − 07	16/50/0.236/7.025e − 07
	16/43/0.306/4.077e − 08	18/57/0.430/9.536e − 07	28/89/0.443/6.548e − 07
	16/43/0.320/4.076e − 08	18/57/0.429/9.535e − 07	28/89/0.419/5.734e − 07