A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations

Table 2

Numerical results on Problem 2.

Init (n)	LJJ CGPM	PDY	ATTCGP
	Itr/NF/Tcpu/	Itr/NF/Tcpu/	Itr/NF/Tcpu/
	5/11/0.018/1.718e − 08	18/55/0.078/3.324e − 07	21/64/0.087/7.557e − 07
	5/11/0.017/2.617e − 08	20/65/0.088/3.998e − 07	22/67/0.092/4.606e − 07
	5/11/0.017/2.717e − 08	20/65/0.091/4.150e − 07	22/67/0.096/4.782e − 07
	5/11/0.017/2.236e − 08	19/60/0.087/5.876e − 07	21/64/0.094/9.838e − 07
	5/11/0.018/2.717e − 08	20/65/0.092/4.149e − 07	22/67/0.096/4.780e − 07
	5/11/0.017/2.236e − 08	19/60/0.086/5.876e − 07	21/64/0.093/9.838e − 07
	5/11/0.018/2.236e − 08	19/60/0.086/5.876e − 07	21/64/0.094/9.838e − 07
	5/11/0.085/3.842e − 08	21/69/0.497/3.654e − 07	22/67/0.479/6.759e − 07
	5/11/0.086/5.855e − 08	23/82/0.574/7.076e − 07	23/70/0.494/4.120e − 07
	5/11/0.085/6.078e − 08	23/82/0.577/7.347e − 07	23/70/0.502/4.277e − 07
	5/11/0.087/5.002e − 08	22/77/0.561/7.324e − 07	22/67/0.505/8.800e − 07
	5/11/0.099/6.078e − 08	23/82/0.611/7.346e − 07	23/70/0.541/4.277e − 07
	5/11/0.086/5.002e − 08	22/77/0.549/7.324e − 07	22/67/0.487/8.800e − 07
	5/11/0.087/5.002e − 08	22/77/0.549/7.324e − 07	22/67/0.490/8.800e − 07
	5/11/0.171/5.434e − 08	23/82/1.148/6.568e − 07	22/67/1.083/9.559e − 07
	5/11/0.184/8.280e − 08	28/114/1.723/5.929e − 07	23/70/1.219/5.826e − 07
	5/11/0.188/8.596e − 08	28/114/1.564/6.155e − 07	23/70/1.007/6.049e − 07
	5/11/0.171/7.074e − 08	25/94/1.385/6.443e − 07	23/70/1.045/4.978e − 07
	5/11/0.180/8.596e − 08	28/114/1.677/6.155e − 07	23/70/1.077/6.049e − 07
	5/11/0.171/7.074e − 08	25/94/1.310/6.443e − 07	23/70/1.023/4.978e − 07
	5/11/0.178/7.074e − 08	25/94/1.319/6.443e − 07	23/70/1.030/4.978e − 07