A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations

Table 6

Numerical results on Problem 6.

Init (n)	LJJ CGPM	PDY	ATTCGP
	Itr/NF/Tcpu/	Itr/NF/Tcpu/	Itr/NF/Tcpu/
	36/110/0.204/9.949e − 07	29/117/0.075/9.510e − 07	24/97/0.057/9.931e − 07
	11/34/0.026/5.671e − 07	25/101/0.063/7.366e − 07	25/101/0.058/8.628e − 07
	37/112/0.051/7.576e − 07	52/209/0.090/9.275e − 07	34/137/0.056/8.435e − 07
	20/62/0.041/7.165e − 07	17/69/0.047/7.590e − 07	16/65/0.032/2.846e − 07
	39/118/0.069/7.898e − 07	60/241/0.127/9.418e − 07	35/141/0.074/9.479e − 07
	20/62/0.042/7.506e − 07	17/69/0.047/7.591e − 07	16/65/0.029/2.849e − 07
	35/107/0.067/7.787e − 07	31/125/0.076/8.371e − 07	31/125/0.055/6.861e − 07
	37/113/0.376/6.935e − 07	30/123/0.413/7.657e − 07	23/93/0.288/8.910e − 07
	12/37/0.134/2.594e − 07	25/101/0.333/6.388e − 07	25/101/0.309/7.727e − 07
	37/112/0.281/7.576e − 07	52/209/0.490/9.275e − 07	34/137/0.311/8.435e − 07
	17/53/0.190/7.679e − 07	18/73/0.256/5.629e − 07	16/65/0.160/5.993e − 07
	39/118/0.365/7.898e − 07	60/241/0.678/9.417e − 07	35/141/0.389/9.479e − 07
	17/53/0.188/6.669e − 07	18/73/0.259/5.629e − 07	16/65/0.158/5.995e − 07
	35/107/0.352/9.085e − 07	29/117/0.390/9.530e − 07	30/121/0.286/8.457e − 07
	37/113/0.783/7.173e − 07	31/130/0.890/8.423e − 07	23/93/0.589/7.944e − 07
	12/37/0.280/3.661e − 07	24/97/0.661/9.622e − 07	25/101/0.628/7.387e − 07
	37/112/0.558/7.576e − 07	52/209/1.006/9.275e − 07	34/137/0.639/8.435e − 07
	17/53/0.377/6.159e − 07	19/79/0.566/7.772e − 07	16/65/0.334/8.412e − 07
	39/118/0.732/7.898e − 07	60/241/1.351/9.417e − 07	35/141/0.785/9.479e − 07
	17/53/0.374/6.332e − 07	19/79/0.572/7.772e − 07	16/65/0.335/8.413e − 07
	35/107/0.698/9.072e − 07	30/123/0.816/8.816e − 07	30/121/0.599/7.940e − 07