A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations

Table 3

Numerical results on Problem 3.

Init (n)	LJJ CGPM	PDY	ATTCGP
	Itr/NF/Tcpu/	Itr/NF/Tcpu/	Itr/NF/Tcpu/
	14/43/0.013/4.708e − 07	6/19/0.006/8.620e − 08	17/69/0.016/4.344e − 07
	14/43/0.011/5.456e − 07	17/68/0.021/7.903e − 07	17/69/0.016/4.628e − 07
	14/43/0.012/7.328e − 07	18/72/0.017/4.221e − 07	17/69/0.016/6.140e − 07
	14/43/0.012/3.474e − 07	19/76/0.019/4.688e − 07	16/65/0.017/9.030e − 07
	14/43/0.011/7.314e − 07	18/72/0.018/4.221e − 07	17/69/0.016/6.128e − 07
	14/43/0.011/3.474e − 07	19/76/0.019/4.690e − 07	16/65/0.015/9.029e − 07
	14/43/0.013/3.474e − 07	19/76/0.018/4.688e − 07	16/65/0.014/9.030e − 07
	15/46/0.058/2.722e − 07	19/77/0.095/6.950e − 07	17/69/0.071/9.714e − 07
	15/46/0.053/3.154e − 07	18/72/0.083/6.418e − 07	18/73/0.086/3.373e − 07
	15/46/0.058/4.238e − 07	18/72/0.079/9.439e − 07	18/73/0.076/4.476e − 07
	14/43/0.054/7.768e − 07	20/80/0.096/3.801e − 07	17/69/0.072/6.582e − 07
	15/46/0.055/4.236e − 07	18/72/0.080/9.438e − 07	18/73/0.078/4.474e − 07
	14/43/0.053/7.768e − 07	20/80/0.092/3.801e − 07	17/69/0.072/6.582e − 07
	14/43/0.056/7.768e − 07	20/80/0.091/3.801e − 07	17/69/0.079/6.582e − 07
	15/46/0.114/3.849e − 07	19/77/0.191/9.829e − 07	18/73/0.164/4.478e − 07
	15/46/0.122/4.461e − 07	19/77/0.189/7.449e − 07	18/73/0.176/4.770e − 07
	15/46/0.119/5.993e − 07	19/77/0.196/9.210e − 07	18/73/0.165/6.330e − 07
	15/46/0.124/2.841e − 07	19/77/0.190/6.666e − 07	17/69/0.164/9.308e − 07
	15/46/0.121/5.992e − 07	19/77/0.202/9.209e − 07	18/73/0.172/6.328e − 07
	15/46/0.121/2.841e − 07	19/77/0.190/6.666e − 07	17/69/0.163/9.308e − 07
	15/46/0.118/2.841e − 07	19/77/0.200/6.666e − 07	17/69/0.162/9.308e − 07