带卷积核二分类网络的输出是不是有方向的？
做一个二分类网络分类0,1，
让0向0,1收敛，让1向1,0收敛，
与让0向1,0收敛，让1向0,1收敛
这两种做法是不是一样的？如果不同表明网络的输出是区分方向的。
做一个网络输入minst的0和1，将图片变成9*9的用1个3*3的卷积核，网络结构是81*30*2
画成图
简写成
S（minst0）81-（con3*3）49-30-2-（0,1）
S（minst1）81-（con3*3）49-30-2-（1,0）
w=w，w1=w1,w2=w2
具体的计算过程与《1个卷积核二分类0,1的神经网络的特征频率曲线》的计算过程是一样的，得到的数据为
|
f2[0] |
f2[1] |
迭代次数n |
最大准确率p-max |
δ |
耗时ms/次 |
耗时ms/199次 |
耗时ms/199次 |
|
0.2411763 |
0.7588776 |
2127.4171 |
0.99858156 |
0.1 |
1309.3467 |
260591 |
4.343183333 |
|
0.1464763 |
0.853536 |
2834.0352 |
0.997635934 |
0.01 |
1509.0704 |
300307 |
5.005116667 |
|
0.1412503 |
0.8587488 |
4015.2915 |
0.99858156 |
0.001 |
1907.1307 |
379538 |
6.325633333 |
|
0.1558263 |
0.8441735 |
5841.6281 |
0.99858156 |
1E-04 |
2465.4774 |
490630 |
8.177166667 |
|
0.1457744 |
0.8542256 |
6073.3266 |
0.99858156 |
9E-05 |
2583.2714 |
514074 |
8.5679 |
|
0.1558151 |
0.8441848 |
6143.0352 |
0.999054374 |
8E-05 |
2463.5176 |
490249 |
8.170816667 |
|
0.1105904 |
0.8894095 |
6350.3266 |
0.998108747 |
7E-05 |
2085.2764 |
414980 |
6.916333333 |
|
0.1105867 |
0.8894133 |
6458.5578 |
0.99858156 |
6E-05 |
2542.3367 |
505935 |
8.43225 |
|
0.1005315 |
0.8994685 |
6653.8543 |
0.999527187 |
5E-05 |
2592.8995 |
515996 |
8.599933333 |
|
0.0854515 |
0.9145484 |
7164.2412 |
0.99858156 |
4E-05 |
2762.7035 |
549792 |
9.1632 |
|
0.0854455 |
0.9145545 |
7741.0151 |
0.999054374 |
3E-05 |
2930.2412 |
583128 |
9.7188 |
|
0.1407148 |
0.8592852 |
8620.4975 |
0.999054374 |
0.00002 |
3195.1156 |
635834 |
10.59723333 |
|
0.2311599 |
0.7688401 |
10039.533 |
0.999054374 |
0.00001 |
3630.5477 |
722481 |
12.04135 |
|
0.2211097 |
0.7788903 |
10196.719 |
0.999054374 |
9E-06 |
3732.2714 |
742722 |
12.3787 |
|
0.1809083 |
0.8190917 |
10593.965 |
0.999054374 |
8E-06 |
3818.1809 |
759880 |
12.66466667 |
|
0.1507576 |
0.8492424 |
10720.116 |
0.999527187 |
0.000007 |
3862.8241 |
768702 |
12.8117 |
|
0.1758822 |
0.8241178 |
11246.02 |
0.999527187 |
0.000006 |
4295.4271 |
854806 |
14.24676667 |
|
0.1608065 |
0.8391935 |
11638.93 |
0.999054374 |
5E-06 |
4186.4673 |
833114 |
13.88523333 |
|
0.1959818 |
0.8040182 |
12563.347 |
0.99858156 |
4E-06 |
4471.2362 |
889777 |
14.82961667 |
|
0.1809059 |
0.8190941 |
13398.437 |
0.999527187 |
0.000003 |
4711.0352 |
937496 |
15.62493333 |
|
0.1758803 |
0.8241197 |
14808.271 |
0.999527187 |
0.000002 |
5189.6231 |
1032735 |
17.21225 |
|
0.2361813 |
0.7638187 |
17984.432 |
0.999527187 |
1E-06 |
5972.799 |
1188587 |
19.80978333 |
在《1个卷积核二分类0,1的神经网络的特征频率曲线》中已经计算了
S（minst0）81-（con3*3）49-30-2-（1,0）
S（minst1）81-（con3*3）49-30-2-（0,1）
w=w，w1=w1,w2=w2
的迭代次数曲线n（δ），
将这两个网络的迭代次数进行对比
|
迭代次数n |
迭代次数n |
|
|
1001 |
110 |
δ |
|
2081.1307 |
2127.4171 |
0.1 |
|
2850.2362 |
2834.0352 |
0.01 |
|
4126.9095 |
4015.2915 |
0.001 |
|
5887.7085 |
5841.6281 |
1E-04 |
|
5996.6633 |
6073.3266 |
9E-05 |
|
6169.3367 |
6143.0352 |
8E-05 |
|
6184.608 |
6350.3266 |
7E-05 |
|
6469.7286 |
6458.5578 |
6E-05 |
|
6686.593 |
6653.8543 |
5E-05 |
|
7160.3367 |
7164.2412 |
4E-05 |
|
7711.4724 |
7741.0151 |
3E-05 |
|
8744.005 |
8620.4975 |
0.00002 |
|
9885.6583 |
10039.533 |
0.00001 |
|
9949.0955 |
10196.719 |
9E-06 |
|
10597.784 |
10593.965 |
8E-06 |
|
10781.608 |
10720.116 |
0.000007 |
|
11409.869 |
11246.02 |
0.000006 |
|
11777.724 |
11638.93 |
5E-06 |
|
12539.734 |
12563.347 |
4E-06 |
|
13767.377 |
13398.437 |
0.000003 |
|
14645.296 |
14808.271 |
0.000002 |
|
18080.935 |
17984.432 |
1E-06 |
画成图
这两条曲线几乎是重合的，都可以用
来近似。所以这个区分0和1的二分类网络
d2（minst0,1）81-con（3*3）49-30-2-（2*k） ,k∈(0,1)
的输出应该是不区分方向的。
实验数据
学习率 0.1
权重初始化方式
Random rand1 =new Random();
int ti1=rand1.nextInt(98)+1;
int xx=1;
if(ti1%2==0)
{
xx=-1;
}
tw[a][b]=xx*((double)ti1/x);
第一层第二层和卷积核的权重的初始化的x分别为1000,1000,200
f2[0] f2[1] 迭代次数n 最大准确率p-max δ 耗时ms/次
0.0918955 0.9046263 1385 0.995744681 0.1 2436
0.0798198 0.9205971 1517 0.989598109 0.1 1298
0.0931223 0.9026465 2145 0.996217494 0.1 1485
0.0830756 0.9150718 1635 0.992434988 0.1 1189
0.0844626 0.9134437 1061 0.854373522 0.1 985
0.0838786 0.9160991 2613 0.987234043 0.1 1534
0.9031641 0.0931996 1710 0.994326241 0.1 1204
0.0941372 0.9068454 2741 0.974940898 0.1 1502
0.0836891 0.9144765 1791 0.987234043 0.1 1189
0.089033 0.9125634 2077 0.963593381 0.1 1282
0.0729872 0.9259194 2011 0.993853428 0.1 1251
0.0977476 0.9035985 1701 0.965957447 0.1 1173
0.0903166 0.9095001 2827 0.982033097 0.1 1516
0.0917574 0.9109313 1275 0.990543735 0.1 1064
0.0826948 0.9188549 1529 0.912056738 0.1 1142
0.0951456 0.9016119 1907 0.971158392 0.1 1376
0.0952271 0.9022723 2591 0.98392435 0.1 1455
0.0969415 0.90029 2037 0.979196217 0.1 1282
0.0940438 0.9101264 1691 0.96501182 0.1 1188
0.0830119 0.9163061 1663 0.995271868 0.1 1142
0.0892669 0.9097102 1609 0.997635934 0.1 1157
0.9020706 0.0972484 2518 0.969739953 0.1 1407
0.0855182 0.919829 2961 0.971158392 0.1 1548
0.073552 0.9263168 3181 0.952245863 0.1 1642
0.08832 0.9147871 1885 0.996217494 0.1 1235
0.095532 0.9034275 1791 0.980141844 0.1 1235
0.0859315 0.9155214 949 0.991962175 0.1 955
0.0676409 0.9322273 2879 0.937588652 0.1 1532
0.0640907 0.9348024 2037 0.988179669 0.1 1251
0.0897017 0.9075329 2401 0.987706856 0.1 1376
0.0940082 0.9065706 3333 0.944208038 0.1 1705
0.0971152 0.9024912 1879 0.973995272 0.1 1220
0.0716113 0.9281594 2011 0.995271868 0.1 1266
0.0931201 0.9045947 2623 0.952718676 0.1 1470
0.0909724 0.9103361 1519 0.984397163 0.1 1110
0.0873522 0.9134335 2191 0.968321513 0.1 1314
0.0882078 0.9106281 1297 0.978250591 0.1 1063
0.0883779 0.9136339 2037 0.928605201 0.1 1267
0.9030424 0.0986761 3404 0.984869976 0.1 1736
0.0836599 0.9159279 2893 0.965484634 0.1 1532
0.0849537 0.9141356 4315 0.56501182 0.1 2096
0.0904113 0.9084643 1155 0.950827423 0.1 1017
0.9087873 0.0884825 1108 0.992907801 0.1 1001
0.9190575 0.0825382 1628 0.996217494 0.1 1141
0.093094 0.9094179 2635 0.975413712 0.1 1423
0.0605209 0.9389768 1529 0.949881797 0.1 1126
0.9216436 0.0781049 1748 0.994799054 0.1 1267
0.0908275 0.9100627 2531 0.957446809 0.1 1438
0.0970077 0.9054682 1707 0.993380615 0.1 1173
0.0812816 0.9197462 2411 0.921040189 0.1 1392
0.0925023 0.904693 1181 0.990543735 0.1 1016
0.0897577 0.9109933 1353 0.962647754 0.1 1048
0.0782579 0.923333 2557 0.859101655 0.1 1407
0.9007403 0.0993219 1456 0.982033097 0.1 1126
0.9006499 0.0981926 2166 0.969267139 0.1 1282
0.099006 0.9055966 1973 0.997635934 0.1 1251
0.0915325 0.9108243 2403 0.98108747 0.1 1361
0.0896048 0.9136179 2623 0.987234043 0.1 1454
0.0708025 0.931208 2191 0.874231678 0.1 1313
0.0781941 0.9213062 3139 0.975886525 0.1 1595
0.0923513 0.9107473 1791 0.992907801 0.1 1173
0.0787194 0.9222158 1791 0.98250591 0.1 1204
0.0613122 0.9389185 2011 0.982033097 0.1 1267
0.9040336 0.0964279 1330 0.98250591 0.1 1063
0.0994287 0.9027197 3181 0.994799054 0.1 1610
0.0830864 0.9151399 1885 0.995271868 0.1 1220
0.9202744 0.0806773 1628 0.996690307 0.1 1142
0.9355448 0.064511 3444 0.957446809 0.1 1713
0.0887176 0.9128166 3545 0.911111111 0.1 1719
0.0887114 0.9132998 2685 0.997635934 0.1 1439
0.9057745 0.0940197 1330 0.983451537 0.1 1063
0.0854123 0.9149257 2191 0.944208038 0.1 1298
0.0948298 0.9037977 3873 0.997635934 0.1 1799
0.0937084 0.9016181 1837 0.943735225 0.1 1189
0.0938232 0.9069922 1935 0.991962175 0.1 1219
0.0949829 0.906513 1917 0.992434988 0.1 1220
0.9080569 0.0941639 1732 0.990070922 0.1 1188
0.085275 0.9145513 1691 0.983451537 0.1 1158
0.0995751 0.9003359 2169 0.988179669 0.1 1298
0.0982863 0.9030504 2347 0.995271868 0.1 1344
0.0959792 0.9035774 2531 0.994326241 0.1 1407
0.071437 0.9283703 3879 0.922931442 0.1 1846
0.092627 0.9083269 2089 0.970685579 0.1 1267
0.0982484 0.9010628 2037 0.981560284 0.1 1266
0.0836601 0.9146665 2635 0.979196217 0.1 1454
0.0871151 0.9135222 2635 0.961702128 0.1 1437
0.9164123 0.0861173 3658 0.983451537 0.1 1752
0.0886664 0.9098712 2787 0.840661939 0.1 1485
0.0876074 0.911081 1297 0.980141844 0.1 1052
0.0710518 0.9270059 1865 0.980141844 0.1 1189
0.0917782 0.907369 2263 0.981560284 0.1 1329
0.9045489 0.0944371 3160 0.987234043 0.1 1579
0.0958964 0.9065593 1793 0.973522459 0.1 1219
0.0978651 0.9020264 1879 0.99858156 0.1 1251
0.9021119 0.0955855 1462 0.992907801 0.1 1095
0.0965871 0.904208 1353 0.968321513 0.1 1079
0.0912936 0.9118449 1603 0.857683215 0.1 1126
0.9138685 0.0861401 1492 0.992434988 0.1 1126
0.0824159 0.9172974 1297 0.991489362 0.1 1048
0.0977399 0.9027813 2411 0.924349882 0.1 1360
0.0717274 0.9289261 1791 0.964066194 0.1 1205
0.9075465 0.0901908 1628 0.994799054 0.1 1141
0.0801662 0.9203041 1885 0.929078014 0.1 1235
0.0861133 0.9119117 2411 0.990543735 0.1 1376
0.0767722 0.9268477 1995 0.934751773 0.1 1251
0.0893433 0.9100646 1149 0.995271868 0.1 1001
0.9019752 0.0949222 1688 0.971631206 0.1 1158
0.0993588 0.9004598 1769 0.997635934 0.1 1188
0.0780831 0.9206852 2037 0.984869976 0.1 1282
0.0891668 0.9079471 2169 0.992434988 0.1 1298
0.0676004 0.9323146 1691 0.96643026 0.1 1173
0.0906051 0.9136507 1353 0.9356974 0.1 1064
0.0926192 0.9093186 2663 0.878959811 0.1 1454
0.0980909 0.901738 1791 0.993380615 0.1 1204
0.064501 0.934963 1691 0.990070922 0.1 1141
0.0969721 0.9023536 2433 0.733333333 0.1 1392
0.0956786 0.9026648 2433 0.740425532 0.1 1423
0.0985789 0.9032014 2733 0.773995272 0.1 1470
0.0837607 0.9138993 2263 0.910165485 0.1 1422
0.096536 0.9035395 1663 0.976359338 0.1 1283
0.0926535 0.9077934 1707 0.996690307 0.1 1172
0.099917 0.9014411 1839 0.994799054 0.1 1205
0.0992554 0.9004117 1531 0.972576832 0.1 1126
0.0988953 0.9042308 2635 0.98534279 0.1 1422
0.0972985 0.9024443 1353 0.945153664 0.1 1064
0.9201846 0.0787356 2628 0.973522459 0.1 1454
0.0907212 0.9117 2263 0.942316785 0.1 1329
0.0913245 0.9099507 1839 0.987706856 0.1 1189
0.0986059 0.9029361 2037 0.995744681 0.1 1251
0.0970695 0.9009371 3325 0.988179669 0.1 1625
0.9181658 0.0811765 2066 0.984869976 0.1 1298
0.0986246 0.9007652 3545 0.872813239 0.1 1721
0.0941695 0.9079419 1043 0.98392435 0.1 985
0.0892491 0.9111828 1691 0.98534279 0.1 1173
0.0760374 0.9227085 2635 0.994799054 0.1 1454
0.911101 0.0878969 1492 0.994326241 0.1 1111
0.9049112 0.0953188 2810 0.972576832 0.1 1501
0.0865185 0.9119884 2593 0.992434988 0.1 1423
0.9345237 0.0694523 2070 0.984397163 0.1 1282
0.0901071 0.9080644 3181 0.802364066 0.1 1594
0.0966738 0.9014365 2411 0.960756501 0.1 1361
0.0799519 0.9197486 2433 0.629314421 0.1 1407
0.0948312 0.9055386 1791 0.977304965 0.1 1173
0.0557115 0.9439138 2263 0.975886525 0.1 1329
0.9046849 0.0980723 1628 0.993853428 0.1 1142
0.0932444 0.9079327 1917 0.995744681 0.1 1235
0.9155213 0.0869121 2070 0.981560284 0.1 1282
0.0912417 0.9063706 1275 0.986761229 0.1 1048
0.0953984 0.9054814 3633 0.967375887 0.1 1752
0.09934 0.9005569 2613 0.996217494 0.1 1454
0.9190592 0.079687 2060 0.983451537 0.1 1267
0.9281522 0.0716442 1924 0.984397163 0.1 1235
0.0901535 0.9086841 1995 0.971158392 0.1 1235
0.0980664 0.9008081 2037 0.995271868 0.1 1267
0.0875464 0.9126096 1297 0.990070922 0.1 1048
0.0941047 0.9089126 3181 0.575886525 0.1 1595
0.0971461 0.9015311 2623 0.971631206 0.1 1469
0.9017856 0.0948814 2034 0.992907801 0.1 1268
0.9096559 0.0930969 2254 0.988179669 0.1 1329
0.9110936 0.0867983 1330 0.984397163 0.1 1063
0.0943255 0.9069745 1181 0.991962175 0.1 1017
0.0774832 0.9207565 1519 0.988179669 0.1 1110
0.0978125 0.9024329 2385 0.793853428 0.1 1361
0.0955693 0.9040001 1285 0.988652482 0.1 1048
0.0705864 0.9284799 1297 0.994326241 0.1 1032
0.0988681 0.9016264 1791 0.977304965 0.1 1205
0.0967686 0.9032218 3897 0.973522459 0.1 1798
0.0994826 0.9018646 3633 0.979669031 0.1 1720
0.0837978 0.9190505 2507 0.96643026 0.1 1392
0.0918603 0.9090193 1517 0.957446809 0.1 1141
0.0783218 0.9206142 1529 0.968321513 0.1 1111
0.09117 0.909236 1917 0.977777778 0.1 1235
0.0892213 0.9117887 1885 0.949408983 0.1 1235
0.0909987 0.9081202 2191 0.970685579 0.1 1314
0.0869077 0.9184466 2191 0.98108747 0.1 1438
0.9165347 0.0841682 2724 0.978723404 0.1 1454
0.9274966 0.0734023 1256 0.986761229 0.1 1033
0.0797216 0.9170415 1529 0.995744681 0.1 1110
0.0929923 0.9048799 1517 0.978723404 0.1 1157
0.9132637 0.0848607 2616 0.961702128 0.1 1439
0.9006879 0.0978695 1492 0.994799054 0.1 1094
0.0822441 0.9164425 2037 0.969739953 0.1 1267
0.0767882 0.9225739 2195 0.866666667 0.1 1313
0.069592 0.9324624 2807 0.996217494 0.1 1501
0.0856909 0.9132306 1791 0.995271868 0.1 1204
0.0744996 0.9256434 3181 0.98534279 0.1 1626
0.0783181 0.9225499 2169 0.985815603 0.1 1314
0.9026125 0.0995172 2070 0.98392435 0.1 1266
0.0870448 0.9111433 2613 0.991489362 0.1 1423
0.0916102 0.9068485 2807 0.993380615 0.1 1501
0.096239 0.9010187 3257 0.9678487 0.1 1626
0.099221 0.9033052 1227 0.995744681 0.1 1017
0.0973315 0.9057688 2591 0.993380615 0.1 1423
0.9169487 0.0865988 2724 0.917257683 0.1 1469
0.0926536 0.9038701 1297 0.975886525 0.1 1064
0.0483982 0.9512757 2011 0.956028369 0.1 1266
0.0918144 0.907783 2347 0.993853428 0.1 1361
0.0906152 0.9045317 2741 0.893144208 0.1 1469
0.0779992 0.9240141 1791 0.975886525 0.1 1173
0.2411763 0.7588776 2127.417085 0.99858156 0.1 1309.346734
f2[0] f2[1] 迭代次数n 最大准确率p-max δ 耗时ms/次
0.009821 0.9905784 2359 0.9858156 0.01 1985
0.9963438 0.003644 3658 0.9777778 0.01 1955
0.008641 0.9915974 4303 0.9096927 0.01 2018
0.0098786 0.9903946 2169 0.9910165 0.01 1360
0.0099173 0.9903612 1529 0.9938534 0.01 1142
0.9910761 0.0085582 2906 0.9858156 0.01 1501
0.009755 0.9902701 3633 0.9886525 0.01 1689
0.9928605 0.0071611 2518 0.9834515 0.01 1549
0.0088283 0.990986 2893 0.9182033 0.01 1549
0.0079301 0.9922751 3545 0.9891253 0.01 1674
0.0059965 0.9938902 2635 0.9929078 0.01 1407
0.009743 0.9902284 2169 0.9914894 0.01 1313
0.0087061 0.9911716 3055 0.9962175 0.01 1548
0.0076216 0.992212 4299 0.6420804 0.01 1893
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0.0078637 0.9920803 2879 0.9361702 0.01 1486
0.0067644 0.9933235 3633 0.9976359 0.01 1705
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0.0085785 0.9915023 2547 0.5669031 0.01 1392
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0.0078107 0.9924558 4903 0.5966903 0.01 2096
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0.0049558 0.9946557 2961 0.9352246 0.01 1501
0.9910609 0.0090775 4476 0.9886525 0.01 1955
0.0090378 0.9909633 3333 0.9853428 0.01 1626
0.0097931 0.990392 1701 0.9574468 0.01 1142
0.0094181 0.9910658 1839 0.9947991 0.01 1235
0.0057182 0.9940666 2011 0.9867612 0.01 1251
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0.0097414 0.9901427 2433 0.8382979 0.01 1360
0.0064721 0.9937377 2263 0.8723404 0.01 1314
0.0089075 0.9910185 3147 0.9839243 0.01 1610
0.0079581 0.9921186 3181 0.9333333 0.01 1564
0.0084801 0.9914831 2037 0.9933806 0.01 1251
0.0070684 0.9929164 3067 0.9933806 0.01 1532
0.0088709 0.9911679 2591 0.9881797 0.01 1407
0.0089494 0.9912218 3969 0.463357 0.01 1799
0.0097645 0.990203 2119 0.9465721 0.01 1267
0.0052493 0.9947778 1529 0.9224586 0.01 1094
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0.0091332 0.9910427 3333 0.96974 0.01 1610
0.0060736 0.9938882 2037 0.9895981 0.01 1267
0.9909578 0.0089491 2932 0.9408983 0.01 1516
0.0076508 0.9923705 2191 0.9394799 0.01 1298
0.0064923 0.9934503 3325 0.9891253 0.01 1626
0.0085489 0.9914673 5061 0.9257683 0.01 2112
0.0090465 0.9907439 2807 0.9952719 0.01 1486
0.0049676 0.9949377 3139 0.713948 0.01 1563
0.0085202 0.9917206 1885 0.9971631 0.01 1236
0.0085329 0.9912682 3181 0.9839243 0.01 1594
0.009692 0.9902968 4449 0.9148936 0.01 1973
0.0085578 0.9910898 2191 0.9602837 0.01 1298
0.0080247 0.9920254 3299 0.9451537 0.01 1595
0.9908019 0.0092575 2886 0.9730496 0.01 1485
0.0081596 0.9917456 3325 0.9900709 0.01 1610
0.9913734 0.0086066 3790 0.9886525 0.01 1784
0.0087749 0.9911957 2263 0.9323877 0.01 1314
0.0055902 0.9944205 3537 0.4775414 0.01 1674
0.0075927 0.99254 2169 0.9905437 0.01 1282
0.9975063 0.002434 5210 0.9527187 0.01 2158
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0.0060652 0.9941126 2263 0.865721 0.01 1313
0.9922601 0.00762 2724 0.9758865 0.01 1470
0.0089551 0.9907898 1847 0.9673759 0.01 1204
0.9906041 0.00952 3664 0.9555556 0.01 1814
0.9904825 0.0094779 2724 0.9115839 0.01 1439
0.0087021 0.9912081 2433 0.7404255 0.01 1360
0.0093131 0.9905669 4889 0.8723404 0.01 2080
0.0041236 0.995601 3913 0.5115839 0.01 1799
0.0080954 0.9919673 2807 0.9957447 0.01 1470
0.0093057 0.9908546 2893 0.9664303 0.01 1501
0.006674 0.9932216 2787 0.977305 0.01 1470
0.0094348 0.990447 2879 0.9394799 0.01 1501
0.0074347 0.9925558 3181 0.9323877 0.01 1580
0.0074118 0.992479 3905 0.9914894 0.01 1799
0.005221 0.9948679 2961 0.9910165 0.01 1516
0.9904235 0.0097982 2932 0.9607565 0.01 1501
0.0087514 0.991164 2613 0.9962175 0.01 1408
0.0079953 0.9920618 2879 0.8978723 0.01 1501
0.0084123 0.9915874 3343 0.9527187 0.01 1626
0.9907438 0.0091136 3090 0.9862884 0.01 1548
0.0052704 0.9949486 3181 0.9919622 0.01 1564
0.0087746 0.9911574 3969 0.5229314 0.01 1830
0.0095041 0.9908212 2591 0.9957447 0.01 1422
0.0087162 0.9913391 3343 0.9602837 0.01 1626
0.009435 0.9901969 2227 0.9943262 0.01 1299
0.0080152 0.9920361 2547 0.6973995 0.01 1409
0.0089875 0.9910109 3897 0.9853428 0.01 1876
0.9956723 0.0044649 2628 0.9598109 0.01 1439
0.0080987 0.9916278 3971 0.9205674 0.01 1861
0.0076066 0.992284 2613 0.9635934 0.01 1446
0.0065747 0.9933658 2011 0.9810875 0.01 1251
0.0054973 0.9945887 2011 0.9787234 0.01 1252
0.0036128 0.9962782 3291 0.5503546 0.01 1626
0.0061821 0.9937741 2557 0.9555556 0.01 1408
0.0072632 0.9926756 2169 0.9914894 0.01 1282
0.0052871 0.9949841 3905 0.9725768 0.01 1814
0.0077607 0.9922019 2037 0.9758865 0.01 1267
0.0097922 0.9901563 2169 0.9905437 0.01 1298
0.0082433 0.9917191 1663 0.9933806 0.01 1157
0.008675 0.9912127 2873 0.9933806 0.01 1501
0.0092387 0.9907451 2169 0.9947991 0.01 1282
0.0098018 0.9905457 1961 0.9820331 0.01 1251
0.0049321 0.9951675 2879 0.870922 0.01 1502
0.0079686 0.9918932 2879 0.83026 0.01 1517
0.0093672 0.9905296 2191 0.9739953 0.01 1298
0.0082988 0.9914762 2591 0.9947991 0.01 1438
0.0085562 0.9908898 2263 0.9801418 0.01 1315
0.0095643 0.990212 2037 0.9962175 0.01 1251
0.0095856 0.9900584 2961 0.908747 0.01 1532
0.0075375 0.9923513 4889 0.7101655 0.01 2095
0.0078582 0.9921691 3139 0.9730496 0.01 1580
0.0078037 0.9923346 2037 0.9843972 0.01 1251
0.0071807 0.9926575 2433 0.5229314 0.01 1376
0.0084947 0.9914093 2635 0.9971631 0.01 1438
0.0075548 0.9927525 2807 0.9933806 0.01 1454
0.0072776 0.9927814 1791 0.9905437 0.01 1189
0.0077393 0.9921361 2361 0.9853428 0.01 1360
0.0090467 0.9910294 3299 0.9196217 0.01 1610
0.0096832 0.990793 2961 0.8964539 0.01 1517
0.0050779 0.994894 2893 0.9531915 0.01 1516
0.0061006 0.9937614 2169 0.9938534 0.01 1298
0.995946 0.0040975 2932 0.979669 0.01 1517
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0.0097413 0.9904752 2879 0.9205674 0.01 1516
0.9907618 0.0092361 2932 0.9659574 0.01 1517
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0.9919805 0.0081305 2414 0.9787234 0.01 1360
0.0088408 0.9912327 2847 0.9810875 0.01 1486
0.0055446 0.9945457 3181 0.9957447 0.01 1563
0.0095492 0.9904786 2879 0.979669 0.01 1517
0.0079944 0.9923552 1701 0.9839243 0.01 1157
0.0092389 0.9909804 1701 0.9678487 0.01 1157
0.006934 0.9933271 2191 0.9550827 0.01 1298
0.0088347 0.9913234 2613 0.9664303 0.01 1407
0.0073782 0.992873 2893 0.9947991 0.01 1517
0.0079606 0.9920299 3343 0.9617021 0.01 1627
0.0096318 0.9905922 2191 0.9777778 0.01 1298
0.0089114 0.9912498 2685 0.9971631 0.01 1423
0.9952043 0.004711 3046 0.9910165 0.01 1547
0.9902752 0.0095516 3052 0.9820331 0.01 1548
0.0097783 0.9902947 1917 0.9947991 0.01 1204
0.0092092 0.9906832 2741 0.9839243 0.01 1439
0.9922922 0.0079341 2932 0.9598109 0.01 1517
0.0075398 0.9925269 3545 0.987234 0.01 1720
0.0091576 0.9912569 2613 0.9900709 0.01 1439
0.0074795 0.9926739 5827 0.6463357 0.01 2330
0.009062 0.9905679 1839 0.9919622 0.01 1204
0.0084568 0.9917921 1885 0.9952719 0.01 1204
0.9925934 0.0074448 2200 0.9867612 0.01 1282
0.0083613 0.9915179 3181 0.9877069 0.01 1579
0.0082785 0.991984 4347 0.9054374 0.01 1941
0.0075627 0.9922969 2191 0.9172577 0.01 1313
0.0067325 0.9934881 3325 0.9919622 0.01 1611
0.0088936 0.9913559 2191 0.9522459 0.01 1313
0.0082758 0.9917784 1791 0.9947991 0.01 1189
0.0069939 0.9930891 3905 0.9862884 0.01 1798
0.009466 0.9908165 3733 0.7768322 0.01 1798
0.9917007 0.0083027 3036 0.9877069 0.01 1548
0.0069148 0.9931312 3613 0.5588652 0.01 1705
0.0073069 0.9925319 2613 0.9933806 0.01 1423
0.0065746 0.9933022 3139 0.9460993 0.01 1657
0.0084006 0.9915274 2879 0.9810875 0.01 1517
0.0074443 0.9927839 2807 0.9867612 0.01 1485
0.0091716 0.9909071 2191 0.9078014 0.01 1314
0.0082537 0.9916795 2635 0.9281324 0.01 1422
0.9905492 0.0096192 2932 0.941844 0.01 1533
0.0047887 0.9951775 3897 0.9754137 0.01 1919
0.0098176 0.9902893 1531 0.9834515 0.01 1209
0.0085994 0.9913405 2011 0.9910165 0.01 1388
0.009414 0.9902899 2635 0.9947991 0.01 1582
0.0077059 0.992189 2263 0.9503546 0.01 1471
0.0082963 0.9917283 3747 0.9390071 0.01 1871
0.0057624 0.9940572 2037 0.9853428 0.01 1325
0.0058564 0.9943186 3633 0.9843972 0.01 1869
0.0090986 0.9907467 2195 0.9371158 0.01 1419
0.9920547 0.0080748 2518 0.979669 0.01 1456
0.0069643 0.9930564 2893 0.941844 0.01 1546
0.9905805 0.0091677 2724 0.9853428 0.01 1546
0.9920137 0.0080839 2932 0.9673759 0.01 1558
0.0090195 0.991052 2741 0.987234 0.01 1527
0.9926966 0.0072516 2628 0.9527187 0.01 1522
0.0089937 0.9913224 2787 0.8676123 0.01 1592
0.0074407 0.9924851 2011 0.9947991 0.01 1306
0.008458 0.9919278 2613 0.9919622 0.01 1484
0.0093094 0.9907785 2685 0.9839243 0.01 1548
0.008528 0.9914982 3181 0.9947991 0.01 1714
0.9905627 0.0094987 2140 0.96974 0.01 1371
0.0084894 0.9920433 2263 0.9267139 0.01 1461
0.009446 0.9901422 3181 0.8822695 0.01 1711
0.0089268 0.9909706 2089 0.98487 0.01 1332
0.0097031 0.9902065 2263 0.9262411 0.01 1364
0.0091173 0.991009 3153 0.979669 0.01 1703
0.0034716 0.9963613 2263 0.8444444 0.01 1429
0.0096342 0.990589 2711 0.9957447 0.01 1629
0.0049625 0.9952167 4677 0.6836879 0.01 2159
0.0096439 0.9903136 3109 0.9962175 0.01 1626
0.1464763 0.853536 2834.0352 0.9976359 0.01 1509.070352
0.999567 4.25E-04 3954 0.986288 0.001 2556
2.77E-04 0.999724 3325 0.987707 0.001 1805
9.11E-04 0.999081 3343 0.968322 0.001 1797
4.83E-04 0.999528 6281 0.52766 0.001 2625
0.99904 9.88E-04 5676 0.982506 0.001 2391
9.61E-04 0.99904 3857 0.967849 0.001 1927
9.27E-04 0.999084 3905 0.997163 0.001 1900
7.86E-04 0.999187 4303 0.967849 0.001 2008
8.92E-04 0.999096 3931 0.882742 0.001 1861
8.03E-04 0.999197 3971 0.920095 0.001 1871
7.39E-04 0.999245 3905 0.996217 0.001 1922
7.15E-04 0.999281 4303 0.98487 0.001 1948
6.92E-04 0.999308 3897 0.915839 0.001 1899
7.37E-04 0.999255 3299 0.989598 0.001 1682
8.71E-04 0.999127 3633 0.988652 0.001 1778
6.70E-04 0.999335 4657 0.960284 0.001 2095
8.24E-04 0.999168 3931 0.8 0.001 1850
0.999619 3.80E-04 5006 0.991017 0.001 2274
5.88E-04 0.999405 4303 0.995745 0.001 1920
0.999439 5.53E-04 5006 0.997636 0.001 2194
9.04E-04 0.999118 3633 0.991017 0.001 1825
6.18E-04 0.999378 3299 0.982033 0.001 1732
9.72E-04 0.999014 3633 0.998582 0.001 1827
7.89E-04 0.999206 3615 0.991017 0.001 1797
8.22E-04 0.999186 3835 0.980142 0.001 1853
8.60E-04 0.999143 3019 0.993853 0.001 1604
5.49E-04 0.999442 3897 0.989598 0.001 1862
5.84E-04 0.999434 3969 0.790071 0.001 1968
5.85E-04 0.999408 6341 0.493144 0.001 2875
8.55E-04 0.999165 3897 0.918676 0.001 1877
9.26E-04 0.999076 4677 0.869976 0.001 2153
9.35E-04 0.999054 3325 0.997163 0.001 1683
8.37E-04 0.999129 3633 0.996217 0.001 1866
0.999484 5.20E-04 5006 0.996217 0.001 2254
5.74E-04 0.99943 4677 0.862884 0.001 2096
8.59E-04 0.999153 5305 0.834988 0.001 2299
0.999301 6.96E-04 3790 0.98487 0.001 1858
5.59E-04 0.999446 4949 0.720567 0.001 2179
9.54E-04 0.999028 3897 0.965957 0.001 1832
7.98E-04 0.999199 3931 0.98818 0.001 1876
8.31E-04 0.99918 3325 0.993381 0.001 1692
5.23E-04 0.999484 3325 0.99669 0.001 1697
9.82E-04 0.999005 3615 0.986288 0.001 1785
8.04E-04 0.999193 5271 0.93948 0.001 2255
0.999167 8.42E-04 3094 0.983452 0.001 1651
7.91E-04 0.999184 3905 0.995272 0.001 1831
6.90E-04 0.999322 4843 0.886525 0.001 2124
8.29E-04 0.999177 3615 0.967849 0.001 1778
8.31E-04 0.99917 2685 0.99669 0.001 1529
7.88E-04 0.999227 3969 0.830733 0.001 1927
9.79E-04 0.999026 2547 0.584397 0.001 1473
7.04E-04 0.999281 3615 0.986761 0.001 1794
7.62E-04 0.999228 3633 0.99669 0.001 1760
4.55E-04 0.999548 3325 0.996217 0.001 1739
3.39E-04 0.99965 3835 0.963593 0.001 1829
5.75E-04 0.999435 2807 0.995745 0.001 1539
0.999116 8.71E-04 3094 0.987234 0.001 1633
6.19E-04 0.999386 4949 0.466667 0.001 2180
7.05E-04 0.999309 4677 0.941371 0.001 2125
0.999108 8.74E-04 3388 0.983924 0.001 1721
8.47E-04 0.999188 5775 0.897872 0.001 2431
9.04E-04 0.999086 3627 0.967849 0.001 1772
8.43E-04 0.999162 3325 0.995272 0.001 1665
9.15E-04 0.999081 3969 0.869976 0.001 1918
5.74E-04 0.9994 3931 0.904492 0.001 1880
9.27E-04 0.999072 4677 0.98156 0.001 2094
9.68E-04 0.999029 3633 0.983452 0.001 1826
6.78E-04 0.999313 3905 0.996217 0.001 1887
6.23E-04 0.999367 3633 0.990544 0.001 1790
7.64E-04 0.999231 5271 0.663357 0.001 2305
7.16E-04 0.999286 3537 0.587707 0.001 1753
7.22E-04 0.999281 3325 0.996217 0.001 1677
8.20E-04 0.999166 3897 0.963593 0.001 1835
0.999334 6.60E-04 3094 0.988652 0.001 1626
6.10E-04 0.9994 3971 0.920095 0.001 1926
9.86E-04 0.999005 3533 0.992435 0.001 1742
8.83E-04 0.999104 3299 0.963121 0.001 1681
8.22E-04 0.99917 4677 0.851537 0.001 2099
9.81E-04 0.999029 3533 0.997163 0.001 1745
3.92E-04 0.999611 3633 0.979196 0.001 1772
0.99925 7.40E-04 3658 0.89078 0.001 1868
7.02E-04 0.999321 5271 0.758392 0.001 2264
6.65E-04 0.999354 3971 0.934752 0.001 1917
7.79E-04 0.999202 4303 0.975887 0.001 1968
5.90E-04 0.999388 3615 0.99669 0.001 1791
4.58E-04 0.999539 4677 0.576832 0.001 2082
9.57E-04 0.999056 3633 0.986761 0.001 1768
0.999287 6.99E-04 2932 0.938061 0.001 1574
9.28E-04 0.999096 3897 0.978251 0.001 1869
9.87E-04 0.999004 5363 0.784397 0.001 2303
8.98E-04 0.999088 3897 0.993381 0.001 1854
9.90E-04 0.999014 4889 0.992435 0.001 2159
6.75E-04 0.999341 3291 0.507801 0.001 1665
8.83E-04 0.999112 3905 0.996217 0.001 1873
8.36E-04 0.999162 3905 0.993853 0.001 1896
6.53E-04 0.999346 3325 0.995745 0.001 1667
6.59E-04 0.999341 3897 0.994326 0.001 1862
7.27E-04 0.999242 3913 0.55461 0.001 1886
8.48E-04 0.999156 3835 0.982506 0.001 1830
7.96E-04 0.999198 3835 0.961702 0.001 1833
5.94E-04 0.999418 3615 0.980142 0.001 1786
7.39E-04 0.999238 4677 0.938534 0.001 2098
7.48E-04 0.999248 3969 0.735697 0.001 1920
3.16E-04 0.999675 4651 0.463357 0.001 2067
7.51E-04 0.999216 3533 0.99669 0.001 1738
7.25E-04 0.999263 3325 0.997636 0.001 1677
0.999186 8.15E-04 3658 0.941844 0.001 1768
8.08E-04 0.999196 3325 0.991489 0.001 1682
9.79E-04 0.999038 3931 0.979669 0.001 1840
6.40E-04 0.999371 3897 0.959811 0.001 1854
8.23E-04 0.999198 3969 0.464303 0.001 1862
7.23E-04 0.999269 4651 0.463357 0.001 2047
6.86E-04 0.999296 3633 0.986288 0.001 1767
0.99949 5.01E-04 5676 0.995272 0.001 2396
9.39E-04 0.999103 3615 0.98487 0.001 1753
4.67E-04 0.999517 6357 0.676123 0.001 2556
7.25E-04 0.999303 5519 0.884634 0.001 2321
2.95E-04 0.999716 3897 0.974941 0.001 1839
7.88E-04 0.999229 3325 0.99669 0.001 1688
8.72E-04 0.999121 4517 0.997163 0.001 2024
7.26E-04 0.999265 3325 0.993381 0.001 1647
9.70E-04 0.999032 2685 0.996217 0.001 1513
9.11E-04 0.999086 3969 0.583924 0.001 1837
7.05E-04 0.999309 3325 0.992435 0.001 1678
0.999041 9.22E-04 3272 0.986288 0.001 1646
9.47E-04 0.999046 3633 0.99669 0.001 1735
9.36E-04 0.999078 2263 0.971631 0.001 1330
0.999157 8.41E-04 3954 0.992435 0.001 1865
9.21E-04 0.999073 3633 0.976832 0.001 1740
9.04E-04 0.999117 3325 0.991017 0.001 1691
9.90E-04 0.999011 4517 0.98818 0.001 2009
7.49E-04 0.999251 3897 0.982979 0.001 1839
9.05E-04 0.999091 4315 0.978723 0.001 1988
0.999059 9.47E-04 2934 0.969267 0.001 1555
6.06E-04 0.999388 5173 0.98156 0.001 2198
9.84E-04 0.999007 3339 0.993853 0.001 1663
8.50E-04 0.999136 4299 0.922459 0.001 1939
5.31E-04 0.99947 6357 0.793381 0.001 2554
8.90E-04 0.999091 3897 0.978251 0.001 1871
6.56E-04 0.99936 3969 0.502128 0.001 1878
9.01E-04 0.999115 3615 0.950355 0.001 1739
3.99E-04 0.999605 3325 0.983924 0.001 1735
7.86E-04 0.999203 3325 0.994799 0.001 1704
0.999278 7.32E-04 3876 0.967376 0.001 1806
8.76E-04 0.999101 3533 0.995272 0.001 1728
4.42E-04 0.999555 5271 0.76643 0.001 2244
0.999333 6.77E-04 5210 0.987707 0.001 2214
5.99E-04 0.999408 4949 0.700709 0.001 2173
9.78E-04 0.999037 3883 0.994799 0.001 1834
9.98E-04 0.999016 3969 0.463357 0.001 1891
9.39E-04 0.999037 3627 0.959811 0.001 1809
0.999125 8.93E-04 5332 0.986288 0.001 2513
9.65E-04 0.999038 3325 0.996217 0.001 1708
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8.41E-04 0.999155 3325 0.997163 0.001 1662
8.41E-04 0.999168 4341 0.947518 0.001 2016
6.05E-04 0.999408 4341 0.868085 0.001 1968
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583128
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635834
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722481
2.31E-01 7.69E-01 1.00E+04 9.99E-01 1.00E-05 3.63E+03
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0.999999 9.99E-07 25220 0.969267 1.00E-06 8138
8.37E-07 0.999999 17111 0.979196 1.00E-06 5781
7.43E-07 0.999999 16353 0.996217 1.00E-06 5470
8.80E-07 0.999999 16353 0.899291 1.00E-06 5501
0.999999 7.75E-07 15672 0.996217 1.00E-06 5298
5.76E-07 0.999999 21345 0.560757 1.00E-06 7023
1 4.01E-07 15224 0.995272 1.00E-06 5806
8.53E-07 0.999999 16643 0.833097 1.00E-06 5778
1.84E-07 1 15463 0.58156 1.00E-06 5301
0.999999 5.30E-07 15224 0.99669 1.00E-06 5155
0.999999 5.83E-07 20488 0.991017 1.00E-06 6694
6.50E-07 0.999999 16181 0.714421 1.00E-06 5449
0.999999 7.14E-07 25220 0.997636 1.00E-06 7991
0.999999 6.96E-07 33252 0.973995 1.00E-06 10406
8.76E-07 0.999999 13321 0.998582 1.00E-06 4568
6.81E-07 0.999999 16643 0.725768 1.00E-06 5512
8.81E-07 0.999999 13967 0.893144 1.00E-06 4759
2.26E-07 1 13967 0.884634 1.00E-06 4848
5.77E-07 0.999999 17703 0.713002 1.00E-06 5872
8.45E-07 0.999999 13385 0.999054 1.00E-06 4640
0.999999 8.75E-07 27862 0.974468 1.00E-06 8951
9.17E-07 0.999999 12429 0.46383 1.00E-06 4351
4.59E-07 1 13901 0.997163 1.00E-06 4792
8.48E-07 0.999999 16181 0.595272 1.00E-06 5383
4.32E-07 1 13321 0.998109 1.00E-06 4620
0.999999 8.42E-07 23946 0.937116 1.00E-06 7671
1 1.13E-07 15224 0.991017 1.00E-06 5099
6.27E-07 0.999999 23901 0.991017 1.00E-06 7763
5.01E-07 0.999999 15463 0.681324 1.00E-06 5142
8.04E-07 0.999999 19973 0.997636 1.00E-06 6460
9.25E-07 0.999999 23961 0.463357 1.00E-06 7817
4.86E-07 1 16353 0.995272 1.00E-06 5513
0.999999 5.76E-07 15672 0.993853 1.00E-06 5339
2.51E-07 1 17111 0.980142 1.00E-06 5793
0.999999 5.74E-07 15672 0.983924 1.00E-06 5318
6.85E-07 0.999999 16353 0.999054 1.00E-06 5560
6.80E-07 0.999999 21345 0.854846 1.00E-06 6983
8.15E-07 0.999999 16385 0.938534 1.00E-06 5563
5.60E-07 0.999999 15255 0.998109 1.00E-06 5119
8.02E-07 0.999999 23317 0.99669 1.00E-06 7548
0.999999 9.74E-07 17864 0.985343 1.00E-06 5950
8.28E-07 0.999999 13321 0.998582 1.00E-06 4602
8.69E-07 0.999999 15269 0.976832 1.00E-06 5180
4.77E-07 1 13321 0.992908 1.00E-06 4534
9.09E-07 0.999999 23317 0.993381 1.00E-06 7515
7.74E-07 0.999999 14947 0.938534 1.00E-06 5063
9.46E-07 0.999999 13385 0.998109 1.00E-06 4570
0.999999 5.14E-07 20488 0.972104 1.00E-06 6717
9.32E-07 0.999999 17143 0.982979 1.00E-06 5714
8.78E-07 0.999999 12007 0.996217 1.00E-06 4211
8.93E-07 0.999999 15463 0.834515 1.00E-06 5136
0.999999 9.01E-07 20488 0.96643 1.00E-06 6743
0.999999 9.94E-07 15672 0.973995 1.00E-06 5311
8.89E-07 0.999999 36377 0.937589 1.00E-06 11353
6.78E-07 0.999999 23961 0.463357 1.00E-06 7703
9.36E-07 0.999999 20045 0.95461 1.00E-06 6520
4.87E-07 1 16353 0.485106 1.00E-06 5448
6.86E-07 0.999999 16385 0.979669 1.00E-06 5496
9.95E-07 0.999999 20599 0.947518 1.00E-06 6749
9.60E-07 0.999999 14947 0.904965 1.00E-06 5041
7.02E-07 0.999999 16117 0.753664 1.00E-06 5402
2.47E-07 1 15463 0.565957 1.00E-06 5166
9.49E-07 0.999999 18757 0.991489 1.00E-06 6262
4.97E-07 1 13321 0.999527 1.00E-06 4556
8.02E-07 0.999999 16181 0.534279 1.00E-06 5384
5.32E-07 0.999999 16385 0.941844 1.00E-06 5506
9.99E-07 0.999999 14299 0.975887 1.00E-06 4869
9.28E-07 0.999999 16535 0.991489 1.00E-06 5494
3.20E-07 1 15463 0.492671 1.00E-06 5260
0.999999 5.52E-07 15672 0.94279 1.00E-06 5307
8.29E-07 0.999999 23963 0.747991 1.00E-06 7765
6.96E-07 0.999999 13321 0.99669 1.00E-06 4634
1.00E-06 0.999999 16385 0.920095 1.00E-06 5510
0.999999 7.95E-07 15224 0.965957 1.00E-06 5166
9.51E-07 0.999999 21345 0.823168 1.00E-06 6967
9.80E-07 0.999999 19969 0.970686 1.00E-06 6537
4.67E-07 1 16353 0.96974 1.00E-06 5502
8.50E-07 0.999999 18703 0.618913 1.00E-06 6157
9.62E-07 0.999999 19969 0.969267 1.00E-06 6527
4.73E-07 1 16353 0.995745 1.00E-06 5369
4.28E-07 1 13967 0.860993 1.00E-06 4869
8.92E-07 0.999999 21345 0.536643 1.00E-06 6927
0.999999 6.92E-07 22192 0.989125 1.00E-06 7159
7.59E-07 0.999999 13967 0.833097 1.00E-06 4748
8.50E-07 0.999999 19973 0.996217 1.00E-06 6606
0.999999 6.52E-07 15672 0.987234 1.00E-06 5204
7.88E-07 0.999999 14947 0.968794 1.00E-06 5120
1 3.82E-07 10492 0.653901 1.00E-06 3821
0.999999 5.74E-07 15672 0.99669 1.00E-06 5293
8.93E-07 0.999999 17703 0.969267 1.00E-06 5863
0.999999 9.67E-07 15672 0.841608 1.00E-06 5235
6.22E-07 0.999999 23317 0.997163 1.00E-06 7528
0.999999 6.11E-07 20488 0.949409 1.00E-06 6594
9.89E-07 0.999999 17703 0.713948 1.00E-06 5937
4.36E-07 1 17703 0.478014 1.00E-06 5875
1 4.96E-07 15224 0.99669 1.00E-06 5181
7.32E-07 0.999999 16385 0.956974 1.00E-06 5574
0.999999 8.13E-07 20488 0.957447 1.00E-06 6731
6.43E-07 0.999999 14947 0.971158 1.00E-06 5057
4.71E-07 1 13967 0.760284 1.00E-06 4774
9.69E-07 0.999999 16643 0.638298 1.00E-06 5526
7.63E-07 0.999999 16841 0.573522 1.00E-06 5639
7.57E-07 0.999999 13967 0.883215 1.00E-06 4751
8.77E-07 0.999999 26349 0.99669 1.00E-06 8407
5.86E-07 0.999999 18703 0.464303 1.00E-06 6157
1 1.48E-07 15224 0.98487 1.00E-06 5135
0.999999 6.12E-07 20488 0.937589 1.00E-06 6708
9.03E-07 0.999999 13967 0.812293 1.00E-06 4777
4.60E-07 1 16385 0.96643 1.00E-06 5406
9.54E-07 0.999999 13965 0.463357 1.00E-06 4775
9.03E-07 0.999999 16643 0.735697 1.00E-06 5510
6.20E-07 0.999999 17111 0.999054 1.00E-06 5718
1 3.38E-07 15672 0.997163 1.00E-06 5257
9.50E-07 0.999999 32795 0.998109 1.00E-06 10271
8.15E-07 0.999999 16353 0.986288 1.00E-06 5435
6.53E-07 0.999999 19969 0.976832 1.00E-06 6571
0.999999 9.84E-07 20488 0.930969 1.00E-06 6684
8.82E-07 0.999999 19969 0.975887 1.00E-06 6527
0.999999 9.59E-07 17866 0.999054 1.00E-06 5934
9.35E-07 0.999999 13967 0.945154 1.00E-06 4790
5.34E-07 0.999999 23317 0.993381 1.00E-06 7529
7.08E-07 0.999999 13967 0.920567 1.00E-06 4869
6.58E-07 0.999999 19973 0.987707 1.00E-06 6480
8.92E-07 0.999999 13967 0.938534 1.00E-06 4774
7.65E-07 0.999999 23317 0.995272 1.00E-06 7466
5.95E-07 0.999999 25459 0.62695 1.00E-06 8157
4.38E-07 1 14947 0.943735 1.00E-06 5103
3.67E-07 1 16117 0.783452 1.00E-06 5463
0.999999 7.19E-07 20488 0.860047 1.00E-06 6655
7.84E-07 0.999999 13629 0.998109 1.00E-06 4696
4.62E-07 1 16181 0.617494 1.00E-06 5448
5.49E-07 0.999999 16385 0.982506 1.00E-06 5494
4.66E-07 1 15463 0.617494 1.00E-06 5214
4.44E-07 1 13321 0.998109 1.00E-06 4602
6.73E-07 0.999999 16643 0.719149 1.00E-06 5563
5.15E-07 0.999999 16181 0.741844 1.00E-06 5448
0.999999 5.88E-07 20488 0.810875 1.00E-06 6763
8.50E-07 0.999999 16181 0.647281 1.00E-06 5386
1 4.09E-07 20488 0.944208 1.00E-06 6720
9.06E-07 0.999999 33897 0.991017 1.00E-06 10504
3.23E-07 1 16353 0.854846 1.00E-06 5496
9.26E-07 0.999999 14299 0.996217 1.00E-06 4912
1 4.33E-07 23946 0.92435 1.00E-06 7659
0.999999 6.97E-07 20488 0.957447 1.00E-06 6669
5.37E-07 0.999999 23625 0.966903 1.00E-06 7641
9.68E-07 0.999999 17703 0.938534 1.00E-06 5904
1 3.04E-07 20488 0.924823 1.00E-06 6709
7.04E-07 0.999999 16385 0.971631 1.00E-06 5448
6.97E-07 0.999999 13967 0.908747 1.00E-06 4776
1 4.18E-07 20488 0.874704 1.00E-06 6669
7.16E-07 0.999999 11383 0.99669 1.00E-06 3974
0.999999 8.55E-07 13950 0.992908 1.00E-06 4748
9.69E-07 0.999999 33313 0.995272 1.00E-06 10491
7.61E-07 0.999999 17703 0.599527 1.00E-06 5791
0.999999 6.67E-07 20488 0.911584 1.00E-06 6670
5.47E-07 0.999999 19973 0.991017 1.00E-06 6528
5.18E-07 0.999999 13967 0.827423 1.00E-06 4792
9.84E-07 0.999999 16353 0.994799 1.00E-06 5422
8.93E-07 0.999999 16643 0.46383 1.00E-06 5667
3.94E-07 1 18703 0.464303 1.00E-06 6237
9.61E-07 0.999999 19969 0.986761 1.00E-06 6568
8.93E-07 0.999999 15463 0.469031 1.00E-06 5182
0.999999 6.99E-07 18914 0.991962 1.00E-06 6247
0.999999 7.41E-07 15672 0.997163 1.00E-06 5180
6.67E-07 0.999999 23961 0.638771 1.00E-06 7677
5.87E-07 0.999999 13321 0.999054 1.00E-06 4580
8.55E-07 0.999999 18703 0.855319 1.00E-06 6180
7.77E-07 0.999999 23317 0.998109 1.00E-06 7550
9.38E-07 0.999999 13629 0.99669 1.00E-06 4665
6.98E-07 0.999999 14299 0.995745 1.00E-06 4919
9.15E-07 0.999999 16181 0.464775 1.00E-06 5417
9.43E-07 0.999999 26349 0.98818 1.00E-06 8448
8.65E-07 0.999999 13967 0.855792 1.00E-06 4796
5.88E-07 0.999999 13967 0.81844 1.00E-06 4774
8.51E-07 0.999999 16181 0.725768 1.00E-06 5402
6.38E-07 0.999999 13967 0.81513 1.00E-06 4777
8.91E-07 0.999999 16353 0.981087 1.00E-06 5546
6.45E-07 0.999999 26113 0.938061 1.00E-06 8348
0.999999 7.49E-07 20488 0.890307 1.00E-06 6668
6.71E-07 0.999999 19973 0.994799 1.00E-06 6559
7.22E-07 0.999999 16181 0.609929 1.00E-06 5355
3.96E-07 1 14673 0.879433 1.00E-06 4981
8.48E-07 0.999999 17131 0.515366 1.00E-06 5717
4.19E-07 1 16643 0.573995 1.00E-06 5574
8.31E-07 0.999999 13967 0.867139 1.00E-06 4806
8.71E-07 0.999999 20599 0.90591 1.00E-06 6746
0.999999 5.11E-07 23946 0.941844 1.00E-06 7720
1 2.83E-07 20488 0.97305 1.00E-06 6743
1188587
2.36E-01 7.64E-01 1.80E+04 0.999527 1.00E-06 5.97E+03
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