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Search rep 1 (of 5)
random seed = 406932
gen best_like time optPrecision
0 -13490.0811 1 0.5
10 -13374.29999 1 0.5
20 -13374.23319 1 0.5
30 -13374.20572 1 0.5
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6600 -13317.49972 83 0.01
6610 -13317.49972 83 0.01
6620 -13317.49972 83 0.01
6630 -13317.49972 83 0.01
6640 -13317.49972 83 0.01
6650 -13317.49972 83 0.01
6660 -13317.49972 83 0.01
6670 -13317.49972 84 0.01
6680 -13317.49966 84 0.01
6690 -13317.49966 84 0.01
6700 -13317.49966 84 0.01
6710 -13317.49966 84 0.01
6720 -13317.49966 84 0.01
6730 -13317.49953 84 0.01
6740 -13317.49953 84 0.01
6750 -13317.49953 85 0.01
6760 -13317.49953 85 0.01
6770 -13317.49953 85 0.01
6780 -13317.49953 85 0.01
6790 -13317.49953 85 0.01
6800 -13317.49953 85 0.01
6810 -13317.49953 85 0.01
6820 -13317.49953 86 0.01
6830 -13317.49953 86 0.01
6840 -13317.49953 86 0.01
6850 -13317.49953 86 0.01
6860 -13317.49953 86 0.01
6870 -13317.49953 86 0.01
6880 -13317.49953 86 0.01
6890 -13317.49953 87 0.01
6900 -13317.49953 87 0.01
6910 -13317.49952 87 0.01
6920 -13317.49952 87 0.01
6930 -13317.49952 87 0.01
6940 -13317.49952 87 0.01
6950 -13317.49952 87 0.01
6960 -13317.49952 88 0.01
6970 -13317.49952 88 0.01
6980 -13317.49949 88 0.01
6990 -13317.49949 88 0.01
7000 -13317.49949 88 0.01
7010 -13317.49949 88 0.01
7020 -13317.49949 88 0.01
7030 -13317.49949 89 0.01
7040 -13317.49949 89 0.01
7050 -13317.49949 89 0.01
7060 -13317.49949 89 0.01
7070 -13317.49849 89 0.01
7080 -13317.49849 89 0.01
7090 -13317.49849 89 0.01
7100 -13317.49849 90 0.01
7110 -13317.49829 90 0.01
7120 -13317.49829 90 0.01
7130 -13317.49829 90 0.01
7140 -13317.49829 90 0.01
7150 -13317.49829 90 0.01
7160 -13317.49829 90 0.01
7170 -13317.49829 90 0.01
7180 -13317.49829 91 0.01
7190 -13317.49829 91 0.01
7200 -13317.49829 91 0.01
7210 -13317.49829 91 0.01
7220 -13317.49829 91 0.01
7230 -13317.49829 91 0.01
7240 -13317.49829 92 0.01
7250 -13317.49829 92 0.01
7260 -13317.49651 92 0.01
7270 -13317.49651 92 0.01
7280 -13317.49651 92 0.01
7290 -13317.49651 92 0.01
7300 -13317.49651 92 0.01
7310 -13317.49651 93 0.01
7320 -13317.49651 93 0.01
7330 -13317.49651 93 0.01
7340 -13317.49651 93 0.01
7350 -13317.49651 93 0.01
7360 -13317.49651 93 0.01
7370 -13317.49651 93 0.01
7380 -13317.49651 94 0.01
7390 -13317.49651 94 0.01
7400 -13317.49651 94 0.01
7410 -13317.49651 94 0.01
7420 -13317.49651 94 0.01
7430 -13317.49651 94 0.01
7440 -13317.49651 94 0.01
7450 -13317.49651 95 0.01
7460 -13317.49651 95 0.01
7470 -13317.49651 95 0.01
7480 -13317.49651 95 0.01
7490 -13317.49651 95 0.01
7500 -13317.49651 95 0.01
7510 -13317.49651 96 0.01
7520 -13317.49651 96 0.01
7530 -13317.49651 96 0.01
7540 -13317.49651 96 0.01
7550 -13317.49651 96 0.01
7560 -13317.49651 96 0.01
7570 -13317.49651 96 0.01
7580 -13317.49651 97 0.01
7590 -13317.49651 97 0.01
7600 -13317.49651 97 0.01
7610 -13317.49651 97 0.01
7620 -13317.49651 97 0.01
7630 -13317.4964 97 0.01
7640 -13317.4964 97 0.01
7650 -13317.4964 98 0.01
7660 -13317.4964 98 0.01
7670 -13317.4964 98 0.01
7680 -13317.4964 98 0.01
7690 -13317.4964 98 0.01
7700 -13317.4964 98 0.01
7710 -13317.4964 98 0.01
7720 -13317.4964 98 0.01
7730 -13317.49638 99 0.01
7740 -13317.49638 99 0.01
7750 -13317.49638 99 0.01
7760 -13317.49638 99 0.01
7770 -13317.49638 99 0.01
7780 -13317.49638 99 0.01
7790 -13317.49638 99 0.01
7800 -13317.49638 100 0.01
Score after final optimization: -13317.4756
Final -13317.4756 102 0.01
Search rep 2 (of 5)
random seed = 459000111
gen best_like time optPrecision
0 -13325.02307 103 0.5
10 -13324.51715 103 0.5
20 -13324.51715 103 0.5
30 -13324.00223 103 0.5
40 -13323.4358 104 0.5
50 -13323.20651 104 0.5
60 -13323.05858 104 0.5
70 -13322.72526 104 0.5
80 -13322.72116 104 0.5
90 -13322.1786 104 0.5
100 -13322.06157 104 0.5
110 -13321.99279 104 0.5
120 -13321.87016 104 0.5
130 -13321.87016 105 0.5
140 -13321.61574 105 0.5
150 -13321.48941 105 0.5
160 -13321.18067 105 0.5
170 -13321.10628 105 0.5
180 -13321.05786 105 0.5
190 -13321.05554 105 0.5
200 -13320.98992 105 0.5
210 -13320.91141 105 0.5
220 -13320.89396 105 0.5
230 -13320.89396 106 0.5
240 -13320.84072 106 0.5
250 -13320.71324 106 0.5
260 -13320.71324 106 0.5
270 -13320.67877 106 0.5
280 -13320.67877 106 0.5
290 -13320.67877 106 0.5
300 -13320.25334 106 0.5
310 -13320.15569 106 0.5
320 -13320.06637 106 0.5
330 -13320.06637 106 0.5
340 -13320.04345 106 0.5
350 -13320.02502 106 0.5
360 -13319.88285 106 0.5
370 -13319.88285 107 0.5
380 -13319.68149 107 0.5
390 -13319.68149 107 0.5
400 -13319.68149 107 0.5
410 -13319.68149 107 0.5
420 -13319.67414 107 0.5
430 -13319.67414 107 0.5
440 -13319.67414 107 0.5
450 -13319.65574 107 0.5
460 -13319.58478 107 0.5
470 -13319.56491 107 0.5
480 -13319.55692 107 0.5
490 -13319.52813 107 0.5
500 -13319.46273 107 0.5
510 -13319.38792 107 0.402
520 -13319.375 107 0.402
530 -13319.3594 108 0.402
540 -13319.3594 108 0.402
550 -13319.33266 108 0.402
560 -13319.33266 108 0.402
570 -13319.32329 108 0.402
580 -13319.26312 108 0.402
590 -13319.26071 108 0.402
600 -13319.24262 108 0.402
610 -13319.20564 108 0.402
620 -13319.01061 108 0.402
630 -13319.00319 108 0.402
640 -13319.00319 108 0.402
650 -13319.00319 108 0.402
660 -13319.00246 108 0.402
670 -13318.88184 109 0.402
680 -13318.87742 109 0.402
690 -13318.84759 109 0.402
700 -13318.83515 109 0.402
710 -13318.81224 109 0.402
720 -13318.79535 109 0.402
730 -13318.79535 109 0.402
740 -13318.79102 109 0.402
750 -13318.78345 109 0.402
760 -13318.77696 109 0.402
770 -13318.77696 109 0.402
780 -13318.73097 109 0.402
790 -13318.73097 109 0.402
800 -13318.68164 110 0.402
810 -13318.67634 110 0.402
820 -13318.67226 110 0.402
830 -13318.66374 110 0.402
840 -13318.66374 110 0.402
850 -13318.63281 110 0.402
860 -13318.63066 110 0.402
870 -13318.62216 110 0.402
880 -13318.62038 110 0.402
890 -13318.61417 110 0.402
900 -13318.60552 110 0.402
910 -13318.6045 111 0.402
920 -13318.55982 111 0.402
930 -13318.55982 111 0.402
940 -13318.52384 111 0.402
950 -13318.50074 111 0.402
960 -13318.48382 111 0.402
970 -13318.45251 111 0.402
980 -13318.44831 111 0.402
990 -13318.44831 111 0.402
1000 -13318.44831 111 0.402
1010 -13318.42659 112 0.304
1020 -13318.42659 112 0.304
1030 -13318.42659 112 0.304
1040 -13318.42659 112 0.304
1050 -13318.42659 112 0.304
1060 -13318.42455 112 0.304
1070 -13318.38099 112 0.304
1080 -13318.38099 112 0.304
1090 -13318.37444 112 0.304
1100 -13318.37444 112 0.304
1110 -13318.37444 113 0.304
1120 -13318.35093 113 0.304
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1300 -13317.95278 114 0.304
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1470 -13317.84599 116 0.304
1480 -13317.84599 116 0.304
1490 -13317.8336 116 0.304
1500 -13317.8239 116 0.304
1510 -13317.80593 116 0.206
1520 -13317.79398 117 0.206
1530 -13317.79398 117 0.206
1540 -13317.79398 117 0.206
1550 -13317.79398 117 0.206
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1570 -13317.77227 117 0.206
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1600 -13317.77227 117 0.206
1610 -13317.74288 117 0.206
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1790 -13317.70579 119 0.206
1800 -13317.70579 119 0.206
1810 -13317.69594 119 0.206
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1830 -13317.69282 120 0.206
1840 -13317.69019 120 0.206
1850 -13317.69019 120 0.206
1860 -13317.68284 120 0.206
1870 -13317.68284 120 0.206
1880 -13317.68284 120 0.206
1890 -13317.68284 120 0.206
1900 -13317.68284 120 0.206
1910 -13317.68284 120 0.206
1920 -13317.68284 121 0.206
1930 -13317.67989 121 0.206
1940 -13317.679 121 0.206
1950 -13317.679 121 0.206
1960 -13317.6759 121 0.206
1970 -13317.6759 121 0.206
1980 -13317.6759 121 0.206
1990 -13317.6759 121 0.206
2000 -13317.6463 121 0.206
2010 -13317.63954 121 0.108
2020 -13317.63954 122 0.108
2030 -13317.63954 122 0.108
2040 -13317.63954 122 0.108
2050 -13317.63546 122 0.108
2060 -13317.62927 122 0.108
2070 -13317.62927 122 0.108
2080 -13317.62927 122 0.108
2090 -13317.62927 122 0.108
2100 -13317.62927 122 0.108
2110 -13317.62651 123 0.108
2120 -13317.62301 123 0.108
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7300 -13317.48046 196 0.01
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7330 -13317.48046 197 0.01
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7380 -13317.48044 198 0.01
7390 -13317.48044 198 0.01
7400 -13317.48044 198 0.01
7410 -13317.48044 198 0.01
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7430 -13317.48044 198 0.01
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7450 -13317.48044 199 0.01
7460 -13317.48044 199 0.01
7470 -13317.48039 199 0.01
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7500 -13317.48039 199 0.01
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7570 -13317.48032 200 0.01
7580 -13317.48032 200 0.01
7590 -13317.48032 201 0.01
7600 -13317.48032 201 0.01
Score after final optimization: -13317.47562
Final -13317.47562 203 0.01
Search rep 3 (of 5)
random seed = 401425806
gen best_like time optPrecision
0 -13353.44503 205 0.5
10 -13324.06974 205 0.5
20 -13323.64916 205 0.5
30 -13323.40712 205 0.5
40 -13323.04703 205 0.5
50 -13322.97844 205 0.5
60 -13322.93355 205 0.5
70 -13322.88542 205 0.5
80 -13322.88542 205 0.5
90 -13322.88542 206 0.5
100 -13322.77988 206 0.5
110 -13322.71935 206 0.5
120 -13322.06842 206 0.5
130 -13321.99112 206 0.5
140 -13321.99112 206 0.5
150 -13321.98281 206 0.5
160 -13321.96558 206 0.5
170 -13321.86967 206 0.5
180 -13321.67566 206 0.5
190 -13321.46219 207 0.5
200 -13321.29083 207 0.5
210 -13321.23515 207 0.5
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580 -13319.37328 210 0.5
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600 -13319.05626 211 0.5
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1900 -13317.61383 223 0.206
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1940 -13317.59982 224 0.206
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1970 -13317.58087 224 0.206
1980 -13317.57192 224 0.206
1990 -13317.57178 224 0.206
2000 -13317.57178 225 0.206
2010 -13317.57 225 0.206
2020 -13317.57 225 0.206
2030 -13317.57 225 0.206
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2100 -13317.56112 226 0.206
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Score after final optimization: -13317.47554
Final -13317.47554 312 0.01
Search rep 4 (of 5)
random seed = 110869126
gen best_like time optPrecision
0 -13321.7448 313 0.5
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7600 -13317.49194 409 0.01
Score after final optimization: -13317.47563
Final -13317.47563 411 0.01
Search rep 5 (of 5)
random seed = 1432730019
gen best_like time optPrecision
0 -13474.52557 412 0.5
10 -13392.08788 412 0.5
20 -13391.3331 412 0.5
30 -13375.34983 412 0.5
40 -13325.12271 412 0.5
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60 -13324.85339 412 0.5
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80 -13324.2634 413 0.5
90 -13324.13502 413 0.5
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110 -13323.97991 413 0.5
120 -13323.78415 413 0.5
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6990 -13317.48718 498 0.01
7000 -13317.48718 498 0.01
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7020 -13317.48718 499 0.01
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7110 -13317.48707 500 0.01
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7760 -13317.4857 510 0.01
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7800 -13317.4857 510 0.01
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7850 -13317.48261 511 0.01
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7890 -13317.48261 512 0.01
7900 -13317.48261 512 0.01
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7950 -13317.48261 512 0.01
7960 -13317.48261 513 0.01
7970 -13317.48261 513 0.01
7980 -13317.48261 513 0.01
7990 -13317.48261 513 0.01
8000 -13317.48261 513 0.01
8010 -13317.48261 513 0.01
8020 -13317.48261 513 0.01
8030 -13317.48261 514 0.01
8040 -13317.48261 514 0.01
8050 -13317.48257 514 0.01
8060 -13317.48257 514 0.01
8070 -13317.48257 514 0.01
8080 -13317.48257 514 0.01
8090 -13317.48257 515 0.01
8100 -13317.48251 515 0.01
8110 -13317.48251 515 0.01
8120 -13317.48251 515 0.01
8130 -13317.48251 515 0.01
8140 -13317.48251 515 0.01
8150 -13317.48251 515 0.01
8160 -13317.48251 515 0.01
8170 -13317.48251 516 0.01
8180 -13317.48251 516 0.01
8190 -13317.48209 516 0.01
8200 -13317.48209 516 0.01
8210 -13317.48209 516 0.01
8220 -13317.48209 516 0.01
8230 -13317.48209 517 0.01
8240 -13317.48209 517 0.01
8250 -13317.48209 517 0.01
8260 -13317.48209 517 0.01
8270 -13317.48209 517 0.01
8280 -13317.48209 517 0.01
8290 -13317.48209 517 0.01
8300 -13317.48209 518 0.01
8310 -13317.48209 518 0.01
8320 -13317.48209 518 0.01
8330 -13317.48209 518 0.01
8340 -13317.48209 518 0.01
8350 -13317.48209 518 0.01
8360 -13317.48209 518 0.01
8370 -13317.48185 518 0.01
8380 -13317.48185 519 0.01
8390 -13317.48185 519 0.01
8400 -13317.48185 519 0.01
Score after final optimization: -13317.47556
Final -13317.47556 521 0.01
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