Research Article
Two Modified Three-Term Type Conjugate Gradient Methods and Their Global Convergence for Unconstrained Optimization
Table 1
The numerical results of Algorithm
1.
| | | | Nf | Ng | | |
| Rosenbrock | | 2 | 184 | 183 | 29.6 | | Freudenstein and Roth | | 2 | 77 | 78 | 96.2 | | Brown badly scaled | | 3 | 106 | 108 | 453.1 | | Beale | | 3 | 98 | 100 | 62.8 | | Brown and Dennis | | 20 | 77 | 79 | 100.1 | 85822.2 | Trigonometrix | | 100 | 10 | 12 | 45.3 | | Trigonometrix | | 1000 | 35 | 38 | 55.4 | | Trigonometrix | | 5000 | 74 | 78 | 103.3 | | Broyden tridiagonal | | 100 | 56 | 56 | 89.2 | | Broyden tridiagonal | | 1000 | 79 | 80 | 145.5 | | Broyden tridiagonal | | 5000 | 82 | 86 | 170.2 | | Broyden banded | | 100 | 11 | 11 | 78.2 | | Broyden banded | | 500 | 46 | 46 | 90.3 | | Power singular | | 4 | 113 | 116 | 77 | | Brown almost linear | | 100 | 25 | 28 | 46.5 | | Brown almost linear | | 1000 | 55 | 58 | 79.2 | | Watson | | 31 | 17 | 17 | 99.5 | | Discrete boundary value | | 100 | 42 | 42 | 36.2 | | Penalty function I | | 101 | 135 | 136 | 89.6 | | Penalty function II | | 200 | 56 | 56 | 70.2 | | Penalty function II | | 1000 | 102 | 105 | 144.6 | | Penalty function II | | 2000 | 256 | 256 | 403.4 | |
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