Research Article

A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations

Table 8

Numerical results on Problem 8.

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

26/78/0.111/7.185e − 0725/99/0.130/7.229e − 0725/90/0.117/2.263e − 07
25/76/0.106/9.350e − 0725/102/0.137/4.114e − 0725/90/0.127/2.314e − 07
27/82/0.126/2.437e − 0725/102/0.132/7.922e − 0725/90/0.120/2.314e − 07
27/82/0.116/7.926e − 0722/87/0.119/8.501e − 0725/90/0.123/2.321e − 07
27/82/0.115/4.741e − 0725/102/0.136/4.135e − 0725/90/0.121/2.312e − 07
27/82/0.118/8.941e − 0722/87/0.115/8.500e − 0725/90/0.121/2.321e − 07
28/84/0.119/3.899e − 0722/87/0.115/9.315e − 0725/90/0.117/2.265e − 07
28/84/0.604/1.713e − 0725/102/0.691/9.284e − 0726/93/0.638/2.269e − 07
29/88/0.622/2.518e − 0728/118/0.791/4.552e − 0726/93/0.637/2.296e − 07
28/85/0.599/3.829e − 0728/118/0.793/5.796e − 0726/93/0.638/2.296e − 07
28/85/0.605/2.585e − 0727/113/0.767/6.928e − 0726/93/0.637/2.299e − 07
27/82/0.584/9.499e − 0727/114/0.769/9.214e − 0726/93/0.642/2.295e − 07
28/85/0.608/2.580e − 0727/113/0.764/6.927e − 0726/93/0.641/2.299e − 07
26/78/0.555/4.908e − 0728/116/0.792/4.679e − 0726/93/0.641/2.271e − 07
26/78/1.127/8.270e − 0726/109/1.495/5.490e − 0726/93/1.302/2.271e − 07
27/81/1.160/4.953e − 0731/141/1.881/7.790e − 0727/96/1.320/2.292e − 07
28/84/1.218/2.377e − 0731/141/1.874/5.803e − 0727/96/1.338/2.292e − 07
28/85/1.212/6.599e − 0733/141/1.895/3.126e − 0727/96/1.332/2.294e − 07
28/84/1.230/3.886e − 0730/137/1.810/8.937e − 0727/96/1.333/2.291e − 07
28/85/1.233/6.600e − 0733/141/1.884/3.132e − 0727/96/1.336/2.294e − 07
25/75/1.111/8.550e − 0728/121/1.715/7.546e − 0727/96/1.391/2.273e − 07