Research Article
Convergence Analysis of an Improved BFGS Method and Its Application in the Muskingum Model
Table 4
The numerical results for problems 35–51.
| N0 | Dim | MBFGS-MWWP | BFGS-WWP | NI | NFG | CPU time | NI | NFG | CPU time |
| 35 | 300 | 5 | 13 | 0.0625 | 5 | 13 | 0.0625 | 35 | 900 | 5 | 13 | 1.0937 | 5 | 13 | 1.0781 | 35 | 2700 | 5 | 13 | 19.5937 | 5 | 13 | 18.1093 | 36 | 300 | 45 | 118 | 0.8751 | 45 | 116 | 0.9375 | 36 | 900 | 47 | 122 | 13.5937 | 55 | 145 | 15.4375 | 36 | 2700 | 64 | 171 | 324.6562 | 64 | 167 | 316.7968 | 37 | 300 | 251 | 507 | 3.5625 | 251 | 507 | 3.7031 | 37 | 900 | 577 | 1159 | 160.8751 | 577 | 1159 | 176.6251 | 37 | 2700 | 869 | 1741 | 4684.3281 | 869 | 1741 | 4743.0937 | 38 | 300 | 5 | 15 | 0.0625 | 5 | 15 | 0.0625 | 38 | 900 | 5 | 15 | 1.0468 | 5 | 15 | 1.1718 | 38 | 2700 | 5 | 15 | 19.7343 | 5 | 15 | 18.9218 | 39 | 300 | 19 | 72 | 0.2522 | 19 | 67 | 0.3281 | 39 | 900 | 23 | 87 | 6.2656 | 21 | 81 | 5.2521 | 39 | 2700 | 34 | 118 | 173.1123 | 35 | 120 | 181.7812 | 40 | 300 | 485 | 1162 | 7.2187 | 520 | 1055 | 7.4375 | 40 | 900 | 506 | 1162 | 143.3437 | 731 | 1468 | 198.0625 | 40 | 2700 | 528 | 1270 | 2713.4218 | 829 | 1664 | 4167.6718 | 41 | 300 | 12 | 34 | 0.1718 | 12 | 34 | 0.1718 | 41 | 900 | 12 | 34 | 2.9062 | 12 | 34 | 3.0468 | 41 | 2700 | 12 | 34 | 56.5231 | 12 | 34 | 53.7968 | 42 | 300 | 18 | 60 | 0.2187 | 16 | 55 | 0.1875 | 42 | 900 | 4 | 21 | 0.0781 | 4 | 21 | 0.0468 | 42 | 2700 | 4 | 21 | 0.2968 | 4 | 21 | 0.3125 | 43 | 300 | 15 | 38 | 0.2656 | 15 | 38 | 0.2343 | 43 | 900 | 18 | 44 | 5.4062 | 18 | 44 | 4.6875 | 43 | 2700 | 19 | 46 | 94.0312 | 20 | 48 | 92.6562 | 44 | 300 | 29 | 71 | 0.4375 | 27 | 70 | 0.3752 | 44 | 900 | 47 | 120 | 13.0937 | 83 | 204 | 22.3593 | 44 | 2700 | 87 | 203 | 443.7031 | 99 | 224 | 494.0937 | 45 | 300 | 56 | 131 | 0.7812 | 63 | 146 | 0.9531 | 45 | 900 | 75 | 178 | 20.8281 | 90 | 209 | 25.4843 | 45 | 2700 | 81 | 190 | 414.4218 | 124 | 265 | 615.4062 | 46 | 300 | 70 | 157 | 0.9375 | 90 | 196 | 1.67187 | 46 | 900 | 121 | 276 | 34.6718 | 117 | 258 | 32.5468 | 46 | 2700 | 174 | 401 | 916.8752 | 199 | 416 | 1049.3437 | 47 | 300 | 110 | 225 | 2.2968 | 110 | 225 | 2.3752 | 47 | 900 | 219 | 446 | 73.8437 | 219 | 446 | 68.9843 | 47 | 2700 | 346 | 702 | 1940.3437 | 346 | 702 | 1948.3437 | 48 | 300 | 90 | 183 | 1.6252 | 90 | 183 | 1.7031 | 48 | 900 | 75 | 157 | 20.5625 | 75 | 157 | 20.0468 | 48 | 2700 | 144 | 291 | 741.3751 | 144 | 291 | 716.9375 | 49 | 300 | 197 | 399 | 2.6718 | 197 | 399 | 3.0781 | 49 | 900 | 422 | 849 | 117.1562 | 422 | 849 | 116.6562 | 49 | 2700 | 882 | 1766 | 4726.1875 | 882 | 1766 | 4725.7031 | 50 | 300 | 185 | 375 | 4.1718 | 185 | 375 | 4.0312 | 50 | 900 | 395 | 795 | 116.1562 | 395 | 795 | 112.3906 | 50 | 2700 | 859 | 1720 | 4628.0468 | 859 | 1720 | 4585.6251 | 51 | 300 | 24 | 58 | 0.3125 | 24 | 58 | 0.3125 | 51 | 900 | 21 | 56 | 5.7031 | 30 | 78 | 8.2523 | 51 | 2700 | 33 | 80 | 163.7812 | 27 | 72 | 127.3593 |
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