Research Article
Two Modified Three-Term Type Conjugate Gradient Methods and Their Global Convergence for Unconstrained Optimization
Table 2
The numerical results of Algorithm
9.
| | | | Nf | Ng | | |
| Rosenbrock | 2 | 2 | 18 | 18 | 10 | | Freudenstein and Roth | 2 | 2 | 47 | 48 | 28.3 | | Brown badly scaled | 2 | 3 | 106 | 108 | 301.4 | | Beale | 2 | 3 | 40 | 40 | 31 | | Brown and Dennis | 4 | 20 | 23 | 23 | 36.4 | 85822.2 | Trigonometrix | 100 | 100 | 5 | 5 | 25 | | Trigonometrix | 1000 | 1000 | 20 | 21 | 40.3 | | Trigonometrix | 5000 | 5000 | 35 | 35 | 53.4 | | Power singular | 4 | 4 | 45 | 45 | 63.2 | | Broyden tridiagonal | 100 | 100 | 40 | 40 | 68 | | Broyden tridiagonal | 1000 | 1000 | 54 | 54 | 85.4 | | Broyden tridiagonal | 5000 | 5000 | 72 | 75 | 130.1 | | Broyden banded | 100 | 100 | 7 | 7 | 60.7 | | Broyden banded | 500 | 500 | 31 | 35 | 84.5 | | Brown almost linear | 100 | 100 | 25 | 28 | 33.5 | | Brown almost linear | 1000 | 1000 | 50 | 50 | 65.8 | | Watson | 31 | 31 | 14 | 17 | 75.6 | | Discrete boundary value | 100 | 100 | 42 | 42 | 30.4 | | Penalty function I | 100 | 101 | 55 | 56 | 69.1 | | Penalty function II | 100 | 200 | 41 | 41 | 64.3 | | Penalty function II | 500 | 1000 | 56 | 56 | 68 | | Penalty function II | 1000 | 2000 | 86 | 86 | 70.1 | |
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