Research Article
Convergence Analysis of an Improved BFGS Method and Its Application in the Muskingum Model
Table 3
The numerical results for problems 18–34.
| N0 | Dim | MBFGS-MWWP | BFGS-WWP | NI | NFG | CPU time | NI | NFG | CPU time |
| 18 | 300 | 3 | 10 | 0.0312 | 3 | 10 | 0.0312 | 18 | 900 | 3 | 10 | 0.5468 | 3 | 10 | 0.4844 | 18 | 2700 | 3 | 10 | 9.3438 | 3 | 10 | 9.0032 | 19 | 300 | 3 | 9 | 0.0312 | 3 | 10 | 0.0312 | 19 | 900 | 3 | 9 | 0.5468 | 3 | 10 | 0.5312 | 19 | 2700 | 3 | 9 | 10.1718 | 3 | 10 | 9.6254 | 20 | 300 | 11 | 32 | 0.1875 | 8 | 27 | 0.0625 | 20 | 900 | 13 | 55 | 2.4687 | 10 | 29 | 1.8281 | 20 | 2700 | 16 | 48 | 65.7812 | 13 | 40 | 45.4531 | 21 | 300 | 47 | 122 | 0.5781 | 50 | 114 | 0.7187 | 21 | 900 | 58 | 141 | 16.2101 | 50 | 125 | 13.2567 | 21 | 2700 | 58 | 149 | 295.1718 | 42 | 108 | 207.6562 | 22 | 300 | 6 | 21 | 0.0937 | 7 | 30 | 0.1093 | 22 | 900 | 6 | 21 | 1.3906 | 7 | 30 | 1.5937 | 22 | 2700 | 6 | 21 | 25.1562 | 7 | 30 | 29.0781 | 23 | 300 | 114 | 393 | 1.8593 | 113 | 378 | 1.5937 | 23 | 900 | 152 | 523 | 42.8906 | 190 | 628 | 52.0468 | 23 | 2700 | 245 | 854 | 1304.2521 | 209 | 693 | 1105.5625 | 24 | 300 | 94 | 338 | 1.1562 | 31 | 161 | 0.2813 | 24 | 900 | 93 | 361 | 22.9531 | 17 | 127 | 1.9375 | 24 | 2700 | 24 | 129 | 74.7656 | 25 | 136 | 79.4375 | 25 | 300 | 686 | 1823 | 8.7812 | 734 | 1908 | 9.7031 | 25 | 900 | 1000 | 3200 | 280.9687 | 1000 | 2465 | 272.8751 | 25 | 2700 | 969 | 2867 | 5167.4062 | 1000 | 2791 | 5395.4062 | 26 | 300 | 4 | 15 | 0.0312 | 4 | 15 | 0.0312 | 26 | 900 | 4 | 15 | 0.6093 | 4 | 15 | 0.6406 | 26 | 2700 | 4 | 15 | 10.4681 | 4 | 15 | 10.1093 | 27 | 300 | 7 | 18 | 0.0937 | 7 | 18 | 0.1563 | 27 | 900 | 13 | 30 | 3.3125 | 13 | 30 | 3.7031 | 27 | 2700 | 28 | 60 | 139.2031 | 28 | 60 | 149.8593 | 28 | 300 | 88 | 255 | 1.3593 | 84 | 245 | 1.4843 | 28 | 900 | 103 | 288 | 28.2187 | 102 | 295 | 27.3125 | 28 | 2700 | 131 | 328 | 694.8125 | 128 | 330 | 669.3593 | 29 | 300 | 4 | 15 | 0.0312 | 4 | 15 | 0.0312 | 29 | 900 | 4 | 15 | 0.6562 | 4 | 15 | 0.4218 | 29 | 2700 | 4 | 15 | 10.3906 | 4 | 15 | 6.2968 | 30 | 300 | 207 | 419 | 2.7521 | 207 | 419 | 2.8281 | 30 | 900 | 444 | 893 | 122.4375 | 444 | 893 | 120.4687 | 30 | 2700 | 863 | 1728 | 4608.9843 | 863 | 1728 | 4734.1093 | 31 | 300 | 11 | 31 | 0.1406 | 11 | 31 | 0.1562 | 31 | 900 | 13 | 49 | 3.3593 | 13 | 49 | 3.8281 | 31 | 2700 | 16 | 58 | 79.8751 | 16 | 58 | 91.4531 | 32 | 300 | 13 | 44 | 0.1562 | 13 | 45 | 0.2031 | 32 | 900 | 12 | 33 | 3.0468 | 12 | 33 | 3.2521 | 32 | 2700 | 72 | 223 | 367.9531 | 83 | 235 | 435.4687 | 33 | 300 | 4 | 11 | 0.0312 | 4 | 11 | 0.0312 | 33 | 900 | 4 | 11 | 0.7187 | 4 | 11 | 0.6562 | 33 | 2700 | 4 | 11 | 12.5156 | 4 | 11 | 12.7812 | 34 | 300 | 3 | 9 | 0 | 3 | 9 | 0.0312 | 34 | 900 | 3 | 9 | 0.5625 | 3 | 9 | 0.5121 | 34 | 2700 | 4 | 10 | 14.7187 | 4 | 10 | 14.2031 |
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