Research Article
Convergence Analysis of an Improved BFGS Method and Its Application in the Muskingum Model
Table 2
The numerical results for problems 1–17.
| N0 | Dim | MBFGS-MWWP | BFGS-WWP | NI | NFG | CPU time | NI | NFG | CPU time |
| 1 | 300 | 9 | 26 | 0.1251 | 9 | 26 | 1.0625 | 1 | 900 | 7 | 19 | 2.4063 | 7 | 19 | 2.4375 | 1 | 2700 | 7 | 21 | 34.6561 | 7 | 21 | 34.0131 | 2 | 300 | 279 | 598 | 4.6563 | 254 | 547 | 4.0052 | 2 | 900 | 660 | 1381 | 186.2312 | 700 | 1489 | 203.3942 | 2 | 2700 | 7 | 16 | 30.4691 | 7 | 16 | 30.5030 | 3 | 300 | 628 | 1471 | 8.7344 | 676 | 1472 | 9.2969 | 3 | 900 | 1000 | 2429 | 286.1406 | 1000 | 2598 | 275.7656 | 3 | 2700 | 1000 | 3086 | 5405.7969 | 1000 | 2999 | 5390.2344 | 4 | 300 | 733 | 1636 | 9.9219 | 733 | 1610 | 10.9375 | 4 | 900 | 1000 | 2371 | 278.4063 | 1000 | 2421 | 285.8281 | 4 | 2700 | 1000 | 2110 | 5408.3906 | 1000 | 2116 | 5375.0313 | 5 | 300 | 13 | 39 | 0.1875 | 15 | 45 | 0.2031 | 5 | 900 | 15 | 46 | 4.0313 | 15 | 46 | 3.8125 | 5 | 2700 | 15 | 46 | 74.1875 | 15 | 46 | 73.2188 | 6 | 300 | 8 | 33 | 0.0938 | 8 | 33 | 0.1406 | 6 | 900 | 13 | 49 | 3.4844 | 13 | 49 | 3.0625 | 6 | 2700 | 4 | 17 | 10.5001 | 4 | 17 | 10.3906 | 7 | 300 | 198 | 401 | 2.5625 | 198 | 401 | 2.5781 | 7 | 900 | 409 | 823 | 112.9531 | 409 | 823 | 111.6563 | 7 | 2700 | 883 | 1768 | 4735.7969 | 883 | 1768 | 4768.6094 | 8 | 300 | 22 | 48 | 0.4063 | 22 | 48 | 0.3281 | 8 | 900 | 31 | 66 | 8.3594 | 31 | 66 | 8.5156 | 8 | 2700 | 57 | 118 | 294.2188 | 57 | 118 | 292.7812 | 9 | 300 | 6 | 16 | 0.0625 | 13 | 28 | 0.1563 | 9 | 900 | 6 | 16 | 1.4063 | 13 | 28 | 3.2656 | 9 | 2700 | 6 | 16 | 24.7813 | 14 | 30 | 63.6563 | 10 | 300 | 2 | 9 | 0.0313 | 2 | 9 | 0 | 10 | 900 | 2 | 9 | 0.0469 | 2 | 9 | 0.0469 | 10 | 2700 | 2 | 9 | 0.1563 | 2 | 9 | 0.1563 | 11 | 300 | 46 | 94 | 0.6094 | 46 | 94 | 0.5781 | 11 | 900 | 67 | 136 | 18.0312 | 66 | 134 | 19.0021 | 11 | 2700 | 82 | 200 | 422.8906 | 97 | 196 | 533.4688 | 12 | 300 | 38 | 78 | 0.5313 | 38 | 78 | 0.5469 | 12 | 900 | 46 | 94 | 12.7031 | 46 | 94 | 12.6253 | 12 | 2700 | 66 | 134 | 340.4375 | 66 | 134 | 343.1406 | 13 | 300 | 14 | 34 | 0.1562 | 14 | 34 | 0.2031 | 13 | 900 | 15 | 42 | 3.9688 | 15 | 42 | 4.0156 | 13 | 2700 | 49 | 153 | 257.4219 | 49 | 151 | 250.4063 | 14 | 300 | 11 | 25 | 0.2813 | 11 | 25 | 0.3438 | 14 | 900 | 10 | 23 | 2.8594 | 10 | 23 | 2.5625 | 14 | 2700 | 6 | 15 | 25.1094 | 6 | 15 | 23.5313 | 15 | 300 | 13 | 32 | 0.3281 | 13 | 32 | 0.3906 | 15 | 900 | 14 | 34 | 3.8125 | 14 | 34 | 3.9219 | 15 | 2700 | 15 | 37 | 72.0156 | 15 | 37 | 75.4844 | 16 | 300 | 7 | 18 | 0.0625 | 7 | 18 | 0.0938 | 16 | 900 | 6 | 16 | 1.3281 | 6 | 16 | 1.2521 | 16 | 2700 | 6 | 18 | 24.4531 | 6 | 16 | 23.8906 | 17 | 300 | 98 | 199 | 1.2656 | 98 | 199 | 1.3281 | 17 | 900 | 88 | 182 | 23.9848 | 87 | 180 | 23.3281 | 17 | 2700 | 82 | 170 | 415.3125 | 82 | 171 | 405.2813 |
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