A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations

Table 4

Numerical results on Problem 4.

Init (n)	LJJ CGPM	PDY	ATTCGP
	Itr/NF/Tcpu/	Itr/NF/Tcpu/	Itr/NF/Tcpu/
	7/18/0.007/7.770e − 08	17/52/0.017/7.653e − 07	20/61/0.019/8.152e − 07
	4/9/0.003/8.351e − 08	15/46/0.015/5.283e − 07	18/55/0.016/6.852e − 07
	7/17/0.005/4.317e − 08	12/37/0.010/8.833e − 07	15/46/0.012/5.849e − 07
	10/26/0.008/9.622e − 07	17/52/0.015/4.108e − 07	20/61/0.019/5.400e − 07
	8/21/0.006/6.150e − 08	13/40/0.011/7.409e − 07	16/49/0.014/4.741e − 07
	10/26/0.008/9.639e − 07	17/52/0.017/4.109e − 07	20/61/0.016/5.401e − 07
	10/26/0.008/9.622e − 07	17/52/0.015/4.108e − 07	20/61/0.016/5.400e − 07
	7/18/0.025/1.737e − 07	19/60/0.079/5.509e − 07	21/64/0.085/7.292e − 07
	4/9/0.015/1.867e − 07	16/49/0.064/3.907e − 07	19/58/0.065/6.128e − 07
	7/17/0.020/4.317e − 08	12/37/0.038/8.833e − 07	15/46/0.045/5.849e − 07
	11/28/0.037/2.153e − 08	17/52/0.065/9.187e − 07	21/64/0.081/4.830e − 07
	8/21/0.025/6.151e − 08	13/40/0.051/7.410e − 07	16/49/0.055/4.742e − 07
	11/28/0.038/2.154e − 08	17/52/0.071/9.187e − 07	21/64/0.097/4.830e − 07
	11/28/0.035/2.153e − 08	17/52/0.067/9.187e − 07	21/64/0.077/4.830e − 07
	7/18/0.050/2.457e − 07	20/65/0.168/4.909e − 07	22/67/0.162/4.125e − 07
	4/9/0.032/2.641e − 07	16/49/0.132/5.525e − 07	19/58/0.143/8.667e − 07
	7/17/0.040/4.317e − 08	12/37/0.087/8.833e − 07	15/46/0.096/5.849e − 07
	11/28/0.082/3.045e − 08	19/60/0.179/4.622e − 07	21/64/0.174/6.831e − 07
	8/21/0.062/6.151e − 08	13/40/0.106/7.410e − 07	16/49/0.118/4.742e − 07
	11/28/0.077/3.046e − 08	19/60/0.167/4.622e − 07	21/64/0.172/6.831e − 07
	11/28/0.071/3.045e − 08	19/60/0.158/4.622e − 07	21/64/0.161/6.831e − 07