Research Article

A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations

Table 7

Numerical results on Problem 7.

Init (n)LJJ CGPMPDYATTCGP
Itr/NF/Tcpu/Itr/NF/Tcpu/Itr/NF/Tcpu/

1/4/0.007/0.000e + 0013/66/0.081/2.258e − 0719/116/0.142/8.849e − 07
12/49/0.061/2.701e − 0712/61/0.077/6.969e − 0717/103/0.122/8.750e − 07
10/41/0.026/5.307e − 0711/56/0.030/4.009e − 0714/85/0.041/8.584e − 07
15/62/0.072/2.133e − 0716/83/0.086/4.425e − 0726/159/0.091/4.365e − 07
15/59/0.066/5.118e − 0716/84/0.088/4.508e − 0718/106/0.101/8.553e − 07
15/62/0.072/2.138e − 0716/83/0.085/4.515e − 0726/155/0.087/9.530e − 07
15/62/0.073/2.133e − 0716/83/0.085/4.425e − 0726/159/0.089/4.365e − 07
1/4/0.032/0.000e + 0015/81/0.524/3.287e − 0720/122/0.733/6.965e − 07
12/49/0.308/6.039e − 0713/66/0.409/3.777e − 0718/109/0.629/6.887e − 07
10/41/0.115/5.307e − 0711/56/0.157/4.009e − 0714/85/0.220/8.584e − 07
15/62/0.371/4.775e − 0715/78/0.454/5.902e − 0714/92/0.297/0.000e + 00
15/59/0.317/5.108e − 0716/84/0.487/4.212e − 0718/106/0.497/8.553e − 07
15/62/0.375/4.777e − 0715/78/0.470/5.902e − 0715/97/0.344/0.000e + 00
15/62/0.413/4.775e − 0715/78/0.575/5.902e − 0714/92/0.319/0.000e + 00
1/4/0.065/0.000e + 0015/81/1.075/4.648e − 0720/122/1.634/9.850e − 07
12/49/0.642/8.540e − 0713/66/1.206/5.342e − 0718/109/1.369/9.740e − 07
10/41/0.301/5.307e − 0711/56/0.390/4.009e − 0714/85/0.484/8.584e − 07
15/62/0.765/6.754e − 0715/78/0.923/8.346e − 0718/158/0.959/0.000e + 00
15/59/0.627/5.107e − 0716/84/0.893/4.176e − 0718/106/0.994/8.553e − 07
15/62/0.752/6.755e − 0715/78/0.926/8.346e − 0723/158/0.999/0.000e + 00
15/62/0.759/6.754e − 0715/78/0.962/8.346e − 0718/158/0.941/0.000e + 00