Research Article
Convergence Analysis of an Improved BFGS Method and Its Application in the Muskingum Model
Table 5
The numerical results for problems 52–68.
| N0 | Dim | MBFGS-MWWP | BFGS-WWP | NI | NFG | CPU time | NI | NFG | CPU time |
| 52 | 300 | 3 | 13 | 0 | 3 | 13 | 0.0468 | 52 | 900 | 3 | 13 | 0.3437 | 3 | 13 | 0.2968 | 52 | 2700 | 3 | 13 | 5.6406 | 3 | 13 | 5.4062 | 53 | 300 | 314 | 634 | 4.1093 | 404 | 812 | 5.4063 | 53 | 900 | 927 | 1860 | 261.9531 | 1000 | 2004 | 270.2188 | 53 | 2700 | 1000 | 2004 | 5316.6406 | 1000 | 2002 | 5250.6406 | 54 | 300 | 25 | 78 | 0.3281 | 24 | 74 | 0.2969 | 54 | 900 | 28 | 88 | 7.3281 | 28 | 85 | 7.1406 | 54 | 2700 | 33 | 107 | 166.2181 | 37 | 116 | 183.0625 | 55 | 300 | 10 | 24 | 0.1406 | 20 | 42 | 0.2812 | 55 | 900 | 11 | 26 | 2.9062 | 21 | 44 | 5.2187 | 55 | 2700 | 11 | 26 | 50.9687 | 23 | 48 | 105.5123 | 56 | 300 | 311 | 626 | 3.7812 | 354 | 710 | 4.6252 | 56 | 900 | 921 | 1846 | 252.8593 | 1000 | 2002 | 271.5312 | 56 | 2700 | 1000 | 2002 | 5193.1251 | 1000 | 2000 | 4871.1241 | 57 | 300 | 77 | 199 | 1.2187 | 96 | 232 | 1.4531 | 57 | 900 | 7 | 29 | 1.6406 | 40 | 140 | 11.0781 | 57 | 2700 | 7 | 30 | 30.4531 | 15 | 75 | 65.8594 | 58 | 300 | 67 | 144 | 0.8751 | 73 | 154 | 1.2656 | 58 | 900 | 103 | 214 | 29.8431 | 103 | 214 | 28.1875 | 58 | 2700 | 28 | 88 | 124.1406 | 196 | 407 | 1044.9688 | 59 | 300 | 3 | 15 | 0.0312 | 3 | 15 | 0.0313 | 59 | 900 | 11 | 58 | 2.8125 | 11 | 58 | 3.2656 | 59 | 2700 | 24 | 111 | 107.3125 | 24 | 108 | 109.1093 | 60 | 300 | 71 | 166 | 0.9687 | 79 | 173 | 1.1875 | 60 | 900 | 133 | 295 | 42.2031 | 182 | 384 | 50.2031 | 60 | 2700 | 190 | 433 | 1024.2812 | 182 | 388 | 947.9062 | 61 | 300 | 68 | 172 | 0.9375 | 26 | 87 | 0.4375 | 61 | 900 | 7 | 29 | 1.7521 | 9 | 45 | 1.7656 | 61 | 2700 | 7 | 30 | 31.2812 | 19 | 90 | 82.3906 | 62 | 300 | 359 | 877 | 5.7181 | 391 | 908 | 6.3125 | 62 | 900 | 625 | 1452 | 182.9687 | 618 | 1415 | 168.5625 | 62 | 2700 | 622 | 1473 | 3372.6406 | 156 | 520 | 809.6251 | 63 | 300 | 157 | 371 | 2.5156 | 166 | 391 | 2.6562 | 63 | 900 | 236 | 571 | 67.6406 | 267 | 592 | 74.8906 | 63 | 2700 | 541 | 1216 | 2961.6875 | 493 | 1114 | 2569.2656 | 64 | 300 | 198 | 482 | 3.2131 | 202 | 485 | 3.2187 | 64 | 900 | 276 | 629 | 82.1562 | 21 | 112 | 5.4218 | 64 | 2700 | 3 | 12 | 9.9375 | 3 | 12 | 9.1406 | 65 | 300 | 51 | 114 | 1.0312 | 48 | 108 | 0.9062 | 65 | 900 | 51 | 122 | 15.4218 | 42 | 109 | 11.6562 | 65 | 2700 | 55 | 126 | 290.4844 | 77 | 179 | 379.0781 | 66 | 300 | 527 | 1187 | 10.2968 | 534 | 1211 | 10.1875 | 66 | 900 | 1000 | 2415 | 294.6251 | 1000 | 2442 | 285.8281 | 66 | 2700 | 1000 | 2494 | 5153.8281 | 1000 | 2544 | 4975.5468 | 67 | 300 | 6 | 21 | 0.0312 | 6 | 21 | 0 | 67 | 900 | 100 | 408 | 21.3281 | 12 | 33 | 0.1562 | 67 | 2700 | 10 | 29 | 0.9062 | 13 | 59 | 0.9843 | 68 | 300 | 11 | 26 | 0.1875 | 11 | 26 | 0.2031 | 68 | 900 | 11 | 26 | 3.2187 | 12 | 28 | 3.5156 | 68 | 2700 | 12 | 28 | 60.4375 | 12 | 28 | 52.7656 |
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