制作一个神经网络输入minst数据集的2的前200张图,经过3*3的卷积核向001收敛
收敛标准是
while(Math.abs(y[0]-0)> δ || Math.abs(y[1]-0)> δ || Math.abs(y[1]-1)> δ)
这个网络简单表示成
S(Minst 2 81)-(con3*3)49-30-3-(001)
在《神经网络的输出有方向吗?》中的计算表明
S(Minst 2 81)-(con3*3)49-30-3-(k,k,k) k∈(0,1)只要k等于0或者1迭代次数n(δ)变化不大,几乎是相同的。然后把这个写法进一步的简化
S(Minst 2 81)-(con3*3)49-30-m-(m*k) ,k∈(0,1),m=3
在前面的实验中已经得出了m=2和 m=3是的迭代次数n(δ)
本文计算当m=4到10时的表达式
得到的数据
δ |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
0.001 |
658.6834171 |
585.2763819 |
538.8994975 |
502.959799 |
478.7286432 |
461.4020101 |
443.4120603 |
431.0552764 |
422.1859296 |
1.00E-04 |
5318.859296 |
4680.819095 |
4364.663317 |
4159.261307 |
3996.688442 |
3899.949749 |
3803.60804 |
3730.974874 |
3689.909548 |
9.00E-05 |
5833.075377 |
5222.311558 |
4833.552764 |
4576.316583 |
4432.145729 |
4278.98995 |
4210.442211 |
4112.432161 |
4061.070352 |
8.00E-05 |
6562.748744 |
5825.522613 |
5417.668342 |
5122.824121 |
4936.080402 |
4803.351759 |
4702.145729 |
4635.095477 |
4545.045226 |
7.00E-05 |
7426.693467 |
6604.21608 |
6095.512563 |
5818.321608 |
5621.281407 |
5455.035176 |
5340.371859 |
5267.306533 |
5195.79397 |
6.00E-05 |
8598.21608 |
7641.150754 |
7099.954774 |
6694.386935 |
6509.798995 |
6328.346734 |
6199.165829 |
6103.39196 |
6013.030151 |
5.00E-05 |
10094.0402 |
9042.301508 |
8431.281407 |
8021.321608 |
7735.98995 |
7546.190955 |
7390.211055 |
7264.241206 |
7183.638191 |
4.00E-05 |
12473.37186 |
11142.92462 |
10427.27638 |
9941.798995 |
9584.241206 |
9339.301508 |
9210.085427 |
9052.115578 |
8949.552764 |
3.00E-05 |
16430.16583 |
14637.63819 |
13637.94975 |
13143.28643 |
12678.1005 |
12341.70854 |
12151.42211 |
11946.36683 |
11854.14573 |
2.00E-05 |
23892.59296 |
21435.53266 |
20021.32663 |
19272.63317 |
18752.81407 |
18297.16583 |
18031.57286 |
17823.73869 |
17580.09045 |
1.00E-05 |
46117.89447 |
41236.88945 |
39079.62814 |
37762.1608 |
36651.19598 |
35998.76884 |
35480.53266 |
35044.10553 |
34729.50754 |
9.00E-06 |
50912.48744 |
45618.26131 |
43204.69347 |
41466.32663 |
40606.39196 |
39755.13065 |
39276.71357 |
38824.45226 |
38528.13568 |
8.00E-06 |
56772.68342 |
51362.90452 |
48228.93467 |
46731.92965 |
45452.13065 |
44843.95477 |
44044.78894 |
43636.56281 |
43338.54271 |
7.00E-06 |
64443.0603 |
58028.83417 |
55271.79397 |
53033.37688 |
51823.92965 |
50937.36181 |
50378.9799 |
49752.84422 |
49410.88442 |
6.00E-06 |
74778.20101 |
67381.14573 |
63655.82915 |
61721.06533 |
60238.62312 |
59159.96482 |
58537.78894 |
57909.44724 |
57503.69347 |
5.00E-06 |
88113.1809 |
80709.75377 |
76123.14573 |
73538.23618 |
72000.69347 |
70755.56784 |
69949.15075 |
69377.80905 |
68948.25628 |
4.00E-06 |
108641.5528 |
100161.4874 |
94520.8392 |
91575.03518 |
89614.92462 |
88309.62312 |
87275.28141 |
86532.37186 |
85864.19095 |
3.00E-06 |
144183.1005 |
131052.7286 |
125474.1307 |
121638.6131 |
118982.1608 |
117143.402 |
115866.2111 |
114956.8392 |
114138.9497 |
2.00E-06 |
213663.799 |
195337.0854 |
186532.5829 |
179997.206 |
176984.1055 |
175161.5025 |
172890.7789 |
171548.0653 |
170747.7839 |
1.00E-06 |
413461.6533 |
381365.1307 |
367868.8241 |
355815.7789 |
350484.3367 |
346792.794 |
342976.4422 |
340918.8291 |
339637.8593 |
放大后可以看到很细微的差别,
用《神经网络的输出有方向吗?》同样的办法拟合
4 |
1.00E-06,2.00E-06,3.00E-06,4.00E-06,5.00E-06,6.00E-06,7.00E-06,8.00E-06,9.00E-06,1.00E-05,2.00E-05,3.00E-05,4.00E-05,5.00E-05,6.00E-05,7.00E-05,8.00E-05,9.00E-05,1.00E-04,0.001 |
|||
|
367868.8241,186532.5829,125474.1307,94520.8392,76123.14573,63655.82915,55271.79397,48228.93467,43204.69347,39079.62814,20021.32663,13637.94975,10427.27638,8431.281407,7099.954774,6095.512563,5417.668342,4833.552764,4364.663317,538.8994975 |
|||
a = 0.6911266923 |
|
a = -0.951430563099999 |
||
5 |
1.00E-06,2.00E-06,3.00E-06,4.00E-06,5.00E-06,6.00E-06,7.00E-06,8.00E-06,9.00E-06,1.00E-05,2.00E-05,3.00E-05,4.00E-05,5.00E-05,6.00E-05,7.00E-05,8.00E-05,9.00E-05,1.00E-04,0.001 |
|||
355815.7789,179997.206,121638.6131,91575.03518,73538.23618,61721.06533,53033.37688,46731.92965,41466.32663,37762.1608,19272.63317,13143.28643,9941.798995,8021.321608,6694.386935,5818.321608,5122.824121,4576.316583,4159.261307,502.959799 |
||||
a = 0.622631873699999 |
|
a = -0.9571016713 |
||
6 |
1.00E-06,2.00E-06,3.00E-06,4.00E-06,5.00E-06,6.00E-06,7.00E-06,8.00E-06,9.00E-06,1.00E-05,2.00E-05,3.00E-05,4.00E-05,5.00E-05,6.00E-05,7.00E-05,8.00E-05,9.00E-05,1.00E-04,0.001 |
|||
350484.3367,176984.1055,118982.1608,89614.92462,72000.69347,60238.62312,51823.92965,45452.13065,40606.39196,36651.19598,18752.81407,12678.1005,9584.241206,7735.98995,6509.798995,5621.281407,4936.080402,4432.145729,3996.688442,478.7286432 |
||||
a = 0.5736993497 |
|
a = -0.9619390333 |
||
7 |
1.00E-06,2.00E-06,3.00E-06,4.00E-06,5.00E-06,6.00E-06,7.00E-06,8.00E-06,9.00E-06,1.00E-05,2.00E-05,3.00E-05,4.00E-05,5.00E-05,6.00E-05,7.00E-05,8.00E-05,9.00E-05,1.00E-04,0.001 |
|||
346792.794,175161.5025,117143.402,88309.62312,70755.56784,59159.96482,50937.36181,44843.95477,39755.13065,35998.76884,18297.16583,12341.70854,9339.301508,7546.190955,6328.346734,5455.035176,4803.351759,4278.98995,3899.949749,461.4020101 |
||||
a = 0.5353911034 |
|
a = -0.9662496035 |
||
8 |
1.00E-06,2.00E-06,3.00E-06,4.00E-06,5.00E-06,6.00E-06,7.00E-06,8.00E-06,9.00E-06,1.00E-05,2.00E-05,3.00E-05,4.00E-05,5.00E-05,6.00E-05,7.00E-05,8.00E-05,9.00E-05,1.00E-04,0.001 |
|||
342976.4422,172890.7789,115866.2111,87275.28141,69949.15075,58537.78894,50378.9799,44044.78894,39276.71357,35480.53266,18031.57286,12151.42211,9210.085427,7390.211055,6199.165829,5340.371859,4702.145729,4210.442211,3803.60804,443.4120603 |
||||
a = 0.5074566072 |
|
a = -0.9696286316 |
||
9 |
1.00E-06,2.00E-06,3.00E-06,4.00E-06,5.00E-06,6.00E-06,7.00E-06,8.00E-06,9.00E-06,1.00E-05,2.00E-05,3.00E-05,4.00E-05,5.00E-05,6.00E-05,7.00E-05,8.00E-05,9.00E-05,1.00E-04,0.001 |
|||
340918.8291,171548.0653,114956.8392,86532.37186,69377.80905,57909.44724,49752.84422,43636.56281,38824.45226,35044.10553,17823.73869,11946.36683,9052.115578,7264.241206,6103.39196,5267.306533,4635.095477,4112.432161,3730.974874,431.0552764 |
||||
a = 0.4838968932 |
|
a = -0.972732721899999 |
||
10 |
1.00E-06,2.00E-06,3.00E-06,4.00E-06,5.00E-06,6.00E-06,7.00E-06,8.00E-06,9.00E-06,1.00E-05,2.00E-05,3.00E-05,4.00E-05,5.00E-05,6.00E-05,7.00E-05,8.00E-05,9.00E-05,1.00E-04,0.001 |
|||
339637.8593,170747.7839,114138.9497,85864.19095,68948.25628,57503.69347,49410.88442,43338.54271,38528.13568,34729.50754,17580.09045,11854.14573,8949.552764,7183.638191,6013.030151,5195.79397,4545.045226,4061.070352,3689.909548,422.1859296 |
||||
a = 0.4667319695 |
a = -0.975102416199999 |
得到a和b的表格
m |
a |
b |
2 |
0.8868583 |
-0.94356125 |
3 |
0.7877674 |
-0.94517169 |
4 |
0.6911267 |
-0.951430563 |
5 |
0.6226319 |
-0.957101671 |
6 |
0.5736993 |
-0.961939033 |
7 |
0.5353911 |
-0.966249604 |
8 |
0.5074566 |
-0.969628632 |
9 |
0.4838969 |
-0.972732722 |
10 |
0.466732 |
-0.975102416 |
计算值 |
|||||||||
δ |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
0.001 |
607.2525077 |
539.4026784 |
494.1392545 |
462.9524248 |
441.0638433 |
424.052825 |
411.4194377 |
400.8214912 |
392.9839361 |
1.00E-04 |
5352.306885 |
4754.280357 |
4418.551475 |
4194.092789 |
4040.550051 |
3923.463026 |
3836.307739 |
3764.295611 |
3710.882595 |
9.00E-05 |
5912.752375 |
5252.105882 |
4884.442414 |
4639.087939 |
4471.532659 |
4343.929031 |
4248.945992 |
4170.551896 |
4112.40098 |
8.00E-05 |
6609.028235 |
5870.585113 |
5463.652469 |
5192.670554 |
5007.973418 |
4867.532118 |
4762.99539 |
4676.826535 |
4612.903848 |
7.00E-05 |
7498.077998 |
6660.299139 |
6203.808418 |
5900.583483 |
5694.383765 |
5537.879756 |
5421.392035 |
5325.518854 |
5254.392241 |
6.00E-05 |
8674.134742 |
7704.952145 |
7183.789524 |
6838.641595 |
6604.583916 |
6427.333434 |
6295.414607 |
6187.044782 |
6106.642081 |
5.00E-05 |
10305.42807 |
9153.977019 |
8544.547277 |
8142.435864 |
7870.69338 |
7665.485707 |
7512.781198 |
7387.635311 |
7294.781541 |
4.00E-05 |
12725.14199 |
11303.3303 |
10565.55233 |
10081.08048 |
9755.162721 |
9509.965465 |
9327.547385 |
9178.526987 |
9067.957548 |
3.00E-05 |
16701.33525 |
14835.25362 |
13891.93485 |
13276.57813 |
12865.24217 |
12557.43516 |
12328.53976 |
12142.41261 |
12004.3194 |
2.00E-05 |
24501.21755 |
21763.63572 |
20431.55135 |
19571.46763 |
19002.33723 |
18580.14307 |
18266.47584 |
18013.35949 |
17825.61632 |
1.00E-05 |
47175.08552 |
41904.09617 |
39510.31406 |
37996.15982 |
37015.15089 |
36301.04838 |
35771.90506 |
35352.19982 |
35041.25327 |
9.00E-06 |
52114.83665 |
46291.91665 |
43676.27149 |
42027.56964 |
40963.34756 |
40191.32508 |
39619.57773 |
39167.53603 |
38832.72526 |
8.00E-06 |
58251.79291 |
51743.17556 |
48855.51887 |
47042.7218 |
45877.6378 |
45035.85678 |
44412.86532 |
43922.18977 |
43558.89142 |
7.00E-06 |
66087.85304 |
58703.69325 |
55473.93086 |
53456.0212 |
52165.78724 |
51238.11276 |
50552.12835 |
50014.35224 |
49616.36069 |
6.00E-06 |
76453.5848 |
67911.23608 |
64236.83912 |
61954.30862 |
60504.0569 |
59467.60309 |
58702.00959 |
58105.33125 |
57664.01558 |
5.00E-06 |
90831.75925 |
80682.90142 |
76404.62001 |
73765.96322 |
72102.78289 |
70923.35666 |
70053.42483 |
69380.61902 |
68883.42085 |
4.00E-06 |
112159.0511 |
99627.24207 |
94476.27647 |
91329.01067 |
89366.25349 |
87989.0327 |
86975.33207 |
86199.69141 |
85627.2299 |
3.00E-06 |
147205.109 |
130757.517 |
124220.508 |
120278.4511 |
117857.4387 |
116185.1299 |
114958.2838 |
114034.8796 |
113354.8113 |
2.00E-06 |
215953.057 |
191824.0861 |
182697.2064 |
177306.6666 |
174078.8682 |
171909.0171 |
170326.9612 |
169171.5927 |
168324.3595 |
1.00E-06 |
415799.905 |
369341.55 |
353297.891 |
344224.1824 |
339092.7914 |
335868.1106 |
333557.493 |
332008.4714 |
330888.7843 |
实测值/计算值 |
|||||||||
δ |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
0.001 |
1.084694437 |
1.085045376 |
1.090582245 |
1.086417895 |
1.085395347 |
1.088076727 |
1.077761573 |
1.075429551 |
1.074308365 |
1.00E-04 |
0.993750809 |
0.984548395 |
0.987804112 |
0.991695109 |
0.989144644 |
0.994007009 |
0.991476258 |
0.991148215 |
0.994348232 |
9.00E-05 |
0.98652455 |
0.994327166 |
0.989581277 |
0.986469031 |
0.991191626 |
0.985050612 |
0.990938039 |
0.986064258 |
0.987518088 |
8.00E-05 |
0.992997535 |
0.992324019 |
0.991583629 |
0.986549034 |
0.98564429 |
0.9868146 |
0.987224497 |
0.991077057 |
0.985289392 |
7.00E-05 |
0.990479623 |
0.991579498 |
0.982543649 |
0.986058688 |
0.987162376 |
0.985040379 |
0.985055466 |
0.989069174 |
0.988847755 |
6.00E-05 |
0.991247696 |
0.991719431 |
0.98833001 |
0.978905948 |
0.985648616 |
0.984599103 |
0.984711288 |
0.986479357 |
0.984670474 |
5.00E-05 |
0.979487716 |
0.987800329 |
0.986744076 |
0.98512555 |
0.982885443 |
0.984437418 |
0.983685117 |
0.983297212 |
0.984763992 |
4.00E-05 |
0.980214749 |
0.98580899 |
0.986912568 |
0.986183873 |
0.982478866 |
0.982054198 |
0.987406984 |
0.986227484 |
0.986942508 |
3.00E-05 |
0.983763609 |
0.986679336 |
0.981717083 |
0.989960388 |
0.9854537 |
0.982820805 |
0.985633526 |
0.983854463 |
0.98749003 |
2.00E-05 |
0.975159414 |
0.984924253 |
0.979921998 |
0.984731116 |
0.986868818 |
0.984769911 |
0.987140214 |
0.989473324 |
0.986226234 |
1.00E-05 |
0.977590055 |
0.984077768 |
0.989099405 |
0.993841509 |
0.990167407 |
0.99167298 |
0.991854714 |
0.991285004 |
0.991103465 |
9.00E-06 |
0.97692885 |
0.985447668 |
0.989202878 |
0.986645837 |
0.991285976 |
0.98914705 |
0.991346093 |
0.991240609 |
0.992156369 |
8.00E-06 |
0.974608344 |
0.992650798 |
0.987174751 |
0.993393406 |
0.990725173 |
0.995738906 |
0.991712393 |
0.993496978 |
0.994941361 |
7.00E-06 |
0.975112026 |
0.988503976 |
0.996356182 |
0.992093607 |
0.993446709 |
0.994130327 |
0.996574853 |
0.99477134 |
0.995858699 |
6.00E-06 |
0.978086262 |
0.992194365 |
0.99095519 |
0.996235237 |
0.995612959 |
0.994826792 |
0.99720247 |
0.996628812 |
0.99721972 |
5.00E-06 |
0.970070178 |
1.000332813 |
0.996316004 |
0.996912844 |
0.998584113 |
0.997634223 |
0.998511506 |
0.999959499 |
1.000941234 |
4.00E-06 |
0.968638302 |
1.005362443 |
1.000471682 |
1.002693826 |
1.002782607 |
1.003643527 |
1.003448671 |
1.003859416 |
1.002767356 |
3.00E-06 |
0.979470763 |
1.002257703 |
1.010091914 |
1.011308443 |
1.009543072 |
1.008247803 |
1.007897884 |
1.008084891 |
1.006917557 |
2.00E-06 |
0.98939928 |
1.018313651 |
1.020993077 |
1.015174497 |
1.016689202 |
1.018919807 |
1.01505233 |
1.014047705 |
1.014397348 |
1.00E-06 |
0.994376498 |
1.032554097 |
1.041242627 |
1.033674556 |
1.033594183 |
1.032526706 |
1.028237858 |
1.026837742 |
1.026441135 |
所以
S(Minst 0-9 81)-(con3*3)49-30-m-(m*k) ,k∈(0,1),m∈(2,10)
的迭代次数n都可以近似的用
计算,特别是
是满足波函数的格式的,这个表达式可以按照波函数解释成在位置lnδ处出现微观粒子的概率是|n*n|
实验数据
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); |
4 |
|||||||
y[0] |
y[1] |
y[2] |
y[3] |
迭代次数 |
δ |
耗时ms/pc |
耗时ms/199 |
0.9990038 |
0.99900367 |
0.999003421 |
0.99900361 |
538.8994975 |
0.001 |
24.28643216 |
4885 |
0.9999003 |
0.99990023 |
0.999900259 |
0.999900238 |
4364.663317 |
1.00E-04 |
174.4170854 |
34728 |
0.9999102 |
0.999910249 |
0.999910247 |
0.999910255 |
4833.552764 |
9.00E-05 |
190.4321608 |
37916 |
0.9999202 |
0.999920216 |
0.999920194 |
0.999920221 |
5417.668342 |
8.00E-05 |
214.9296482 |
42775 |
0.9999302 |
0.999930186 |
0.999930198 |
0.999930158 |
6095.512563 |
7.00E-05 |
240.4874372 |
47878 |
0.9999402 |
0.999940136 |
0.99994014 |
0.99994014 |
7099.954774 |
6.00E-05 |
280.8442211 |
55907 |
0.9999501 |
0.99995012 |
0.999950124 |
0.99995014 |
8431.281407 |
5.00E-05 |
362.1809045 |
72079 |
0.9999601 |
0.999960101 |
0.999960098 |
0.999960098 |
10427.27638 |
4.00E-05 |
450.8693467 |
89731 |
0.9999701 |
0.999970071 |
0.999970078 |
0.999970072 |
13637.94975 |
3.00E-05 |
551.8442211 |
109824 |
0.9999801 |
0.999980054 |
0.999980047 |
0.999980052 |
20021.32663 |
2.00E-05 |
767.4723618 |
152727 |
0.99999 |
0.999990023 |
0.999990023 |
0.999990022 |
39079.62814 |
1.00E-05 |
1494.628141 |
297431 |
0.999991 |
0.999991021 |
0.999991018 |
0.999991019 |
43204.69347 |
9.00E-06 |
1652.376884 |
328823 |
0.999992 |
0.999992017 |
0.999992018 |
0.999992018 |
48228.93467 |
8.00E-06 |
1864.045226 |
370945 |
0.999993 |
0.999993017 |
0.999993015 |
0.999993016 |
55271.79397 |
7.00E-06 |
2147.824121 |
427417 |
0.999994 |
0.999994015 |
0.999994013 |
0.999994015 |
63655.82915 |
6.00E-06 |
1867.175879 |
371584 |
0.999995 |
0.999995011 |
0.999995011 |
0.999995011 |
76123.14573 |
5.00E-06 |
2941.502513 |
585359 |
0.999996 |
0.999996009 |
0.999996009 |
0.999996009 |
94520.8392 |
4.00E-06 |
3652.964824 |
726940 |
0.999997 |
0.999997007 |
0.999997007 |
0.999997006 |
125474.1307 |
3.00E-06 |
4846.341709 |
964438 |
0.999998 |
0.999998004 |
0.999998004 |
0.999998004 |
186532.5829 |
2.00E-06 |
7202.251256 |
1433264 |
0.999999 |
0.999999002 |
0.999999002 |
0.999999002 |
367868.8241 |
1.00E-06 |
14459.40201 |
2877421 |
5 |
||||||||
y[0] |
y[1] |
y[2] |
y[3] |
y[4] |
迭代次数 |
δ |
耗时ms/pc |
耗时ms/199 |
0.999004596 |
0.999004401 |
0.999004 |
0.999004 |
0.999004 |
502.959799 |
0.001 |
22.8743719 |
4552 |
0.999900312 |
0.999900312 |
0.9999 |
0.9999003 |
0.9999 |
4159.261307 |
1.00E-04 |
162.105528 |
32275 |
0.999910275 |
0.999910297 |
0.99991 |
0.9999103 |
0.99991 |
4576.316583 |
9.00E-05 |
179.256281 |
35672 |
0.999920265 |
0.99992026 |
0.99992 |
0.9999202 |
0.99992 |
5122.824121 |
8.00E-05 |
199.276382 |
39672 |
0.999930206 |
0.99993024 |
0.99993 |
0.9999302 |
0.99993 |
5818.321608 |
7.00E-05 |
227.055276 |
45184 |
0.999940178 |
0.999940199 |
0.99994 |
0.9999402 |
0.99994 |
6694.386935 |
6.00E-05 |
259.844221 |
51724 |
0.999950154 |
0.999950164 |
0.99995 |
0.9999502 |
0.99995 |
8021.321608 |
5.00E-05 |
312.648241 |
62248 |
0.999960117 |
0.999960125 |
0.99996 |
0.9999601 |
0.99996 |
9941.798995 |
4.00E-05 |
393.678392 |
78346 |
0.999970094 |
0.999970084 |
0.99997 |
0.9999701 |
0.99997 |
13143.28643 |
3.00E-05 |
509.326633 |
101387 |
0.999980049 |
0.999980059 |
0.99998 |
0.9999801 |
0.99998 |
19272.63317 |
2.00E-05 |
751.065327 |
149478 |
0.999990028 |
0.999990026 |
0.99999 |
0.99999 |
0.99999 |
37762.1608 |
1.00E-05 |
1174.63317 |
233767 |
0.999991024 |
0.999991027 |
0.999991 |
0.999991 |
0.999991 |
41466.32663 |
9.00E-06 |
1606.22613 |
319639 |
0.99999202 |
0.99999202 |
0.999992 |
0.999992 |
0.999992 |
46731.92965 |
8.00E-06 |
1811.54774 |
360498 |
0.999993017 |
0.999993018 |
0.999993 |
0.999993 |
0.999993 |
53033.37688 |
7.00E-06 |
2053.01508 |
408567 |
0.999994014 |
0.999994015 |
0.999994 |
0.999994 |
0.999994 |
61721.06533 |
6.00E-06 |
2388.91457 |
475409 |
0.999995012 |
0.999995012 |
0.999995 |
0.999995 |
0.999995 |
73538.23618 |
5.00E-06 |
2847.69347 |
566722 |
0.99999601 |
0.99999601 |
0.999996 |
0.999996 |
0.999996 |
91575.03518 |
4.00E-06 |
3541.59296 |
704777 |
0.999997007 |
0.999997007 |
0.999997 |
0.999997 |
0.999997 |
121638.6131 |
3.00E-06 |
4707.55276 |
936819 |
0.999998004 |
0.999998005 |
0.999998 |
0.999998 |
0.999998 |
179997.206 |
2.00E-06 |
7056.01005 |
1404146 |
0.999999002 |
0.999999002 |
0.999999 |
0.999999 |
0.999999 |
355815.7789 |
1.00E-06 |
13709.9497 |
2728280 |
6 |
|||||||||
y[0] |
y[1] |
y[2] |
y[3] |
y[4] |
y[5] |
迭代次数 |
δ |
耗时ms/pc |
耗时ms/199 |
0.99900521 |
0.999006 |
0.999005121 |
0.999 |
0.999006 |
0.999006 |
478.7286432 |
0.001 |
22.84422 |
4577 |
0.99990038 |
0.9999 |
0.999900367 |
0.9999 |
0.9999 |
0.9999 |
3996.688442 |
1.00E-04 |
160.0905 |
31891 |
0.99991035 |
0.99991 |
0.999910342 |
0.9999 |
0.99991 |
0.99991 |
4432.145729 |
9.00E-05 |
177.9899 |
35421 |
0.99992031 |
0.99992 |
0.999920288 |
0.9999 |
0.99992 |
0.99992 |
4936.080402 |
8.00E-05 |
197.0302 |
39241 |
0.99993027 |
0.99993 |
0.999930257 |
0.9999 |
0.99993 |
0.99993 |
5621.281407 |
7.00E-05 |
222.9849 |
44392 |
0.99994021 |
0.99994 |
0.999940194 |
0.9999 |
0.99994 |
0.99994 |
6509.798995 |
6.00E-05 |
257.0302 |
51166 |
0.99995017 |
0.99995 |
0.999950184 |
1 |
0.99995 |
0.99995 |
7735.98995 |
5.00E-05 |
305.8995 |
60874 |
0.99996013 |
0.99996 |
0.999960122 |
1 |
0.99996 |
0.99996 |
9584.241206 |
4.00E-05 |
380.3869 |
75699 |
0.9999701 |
0.99997 |
0.999970103 |
1 |
0.99997 |
0.99997 |
12678.1005 |
3.00E-05 |
500.608 |
99639 |
0.99998007 |
0.99998 |
0.999980062 |
1 |
0.99998 |
0.99998 |
18752.81407 |
2.00E-05 |
739.7538 |
147229 |
0.99999003 |
0.99999 |
0.999990028 |
1 |
0.99999 |
0.99999 |
36651.19598 |
1.00E-05 |
1429.528 |
284476 |
0.99999103 |
0.999991 |
0.999991028 |
1 |
0.999991 |
0.999991 |
40606.39196 |
9.00E-06 |
1582.709 |
314974 |
0.99999202 |
0.999992 |
0.999992025 |
1 |
0.999992 |
0.999992 |
45452.13065 |
8.00E-06 |
1779.402 |
354101 |
0.99999302 |
0.999993 |
0.99999302 |
1 |
0.999993 |
0.999993 |
51823.92965 |
7.00E-06 |
2028.387 |
403650 |
0.99999402 |
0.999994 |
0.999994017 |
1 |
0.999994 |
0.999994 |
60238.62312 |
6.00E-06 |
2341.241 |
465924 |
0.99999501 |
0.999995 |
0.999995013 |
1 |
0.999995 |
0.999995 |
72000.69347 |
5.00E-06 |
2891.518 |
575430 |
0.99999601 |
0.999996 |
0.99999601 |
1 |
0.999996 |
0.999996 |
89614.92462 |
4.00E-06 |
3431.678 |
682915 |
0.99999701 |
0.999997 |
0.999997008 |
1 |
0.999997 |
0.999997 |
118982.1608 |
3.00E-06 |
4899.945 |
975094 |
0.999998 |
0.999998 |
0.999998005 |
1 |
0.999998 |
0.999998 |
176984.1055 |
2.00E-06 |
7294.538 |
1451620 |
0.999999 |
0.999999 |
0.999999002 |
1 |
0.999999 |
0.999999 |
350484.3367 |
1.00E-06 |
13815.97 |
2749383 |
7 |
||||||||||
y[0] |
y[1] |
y[2] |
y[3] |
y[4] |
y[5] |
y[6] |
迭代次数 |
δ |
耗时ms/pc |
耗时ms/199 |
0.99900604 |
0.999006317 |
0.999006501 |
0.999006 |
0.99900643 |
0.999006 |
0.999006 |
461.4020101 |
0.001 |
21.11558 |
4234 |
0.999900389 |
0.999900402 |
0.999900386 |
0.9999 |
0.999900387 |
0.9999 |
0.9999 |
3899.949749 |
1.00E-04 |
157.0151 |
31280 |
0.999910382 |
0.999910392 |
0.999910411 |
0.99991 |
0.999910386 |
0.99991 |
0.99991 |
4278.98995 |
9.00E-05 |
179.9397 |
35813 |
0.999920325 |
0.999920294 |
0.999920341 |
0.99992 |
0.999920336 |
0.99992 |
0.99992 |
4803.351759 |
8.00E-05 |
194.8995 |
38786 |
0.99993027 |
0.999930291 |
0.999930274 |
0.99993 |
0.999930273 |
0.99993 |
0.99993 |
5455.035176 |
7.00E-05 |
221.804 |
44139 |
0.999940197 |
0.999940236 |
0.999940238 |
0.99994 |
0.999940223 |
0.99994 |
0.99994 |
6328.346734 |
6.00E-05 |
260.9648 |
51935 |
0.999950175 |
0.999950183 |
0.999950179 |
0.99995 |
0.999950183 |
0.99995 |
0.99995 |
7546.190955 |
5.00E-05 |
313.5779 |
62407 |
0.999960143 |
0.999960159 |
0.999960162 |
0.99996 |
0.999960148 |
0.99996 |
0.99996 |
9339.301508 |
4.00E-05 |
385.1457 |
76663 |
0.999970105 |
0.999970109 |
0.99997011 |
0.99997 |
0.999970107 |
0.99997 |
0.99997 |
12341.70854 |
3.00E-05 |
502.8191 |
100097 |
0.999980066 |
0.999980071 |
0.999980073 |
0.99998 |
0.999980063 |
0.99998 |
0.99998 |
18297.16583 |
2.00E-05 |
752.402 |
149734 |
0.999990031 |
0.999990029 |
0.999990032 |
0.99999 |
0.999990031 |
0.99999 |
0.99999 |
35998.76884 |
1.00E-05 |
1176.186 |
234066 |
0.999991028 |
0.999991023 |
0.999991028 |
0.999991 |
0.999991022 |
0.999991 |
0.999991 |
39755.13065 |
9.00E-06 |
1644.905 |
327342 |
0.999992025 |
0.999992026 |
0.999992022 |
0.999992 |
0.999992023 |
0.999992 |
0.999992 |
44843.95477 |
8.00E-06 |
1857.151 |
369577 |
0.999993019 |
0.999993021 |
0.99999302 |
0.999993 |
0.999993019 |
0.999993 |
0.999993 |
50937.36181 |
7.00E-06 |
2112.06 |
420309 |
0.999994017 |
0.99999402 |
0.999994018 |
0.999994 |
0.999994017 |
0.999994 |
0.999994 |
59159.96482 |
6.00E-06 |
2451.784 |
487914 |
0.999995014 |
0.999995015 |
0.999995015 |
0.999995 |
0.999995014 |
0.999995 |
0.999995 |
70755.56784 |
5.00E-06 |
2932.668 |
583613 |
0.99999601 |
0.999996011 |
0.999996011 |
0.999996 |
0.999996011 |
0.999996 |
0.999996 |
88309.62312 |
4.00E-06 |
3661.337 |
728613 |
0.999997008 |
0.999997008 |
0.999997008 |
0.999997 |
0.999997008 |
0.999997 |
0.999997 |
117143.402 |
3.00E-06 |
3848.116 |
765780 |
0.999998005 |
0.999998005 |
0.999998005 |
0.999998 |
0.999998005 |
0.999998 |
0.999998 |
175161.5025 |
2.00E-06 |
6985.583 |
1390138 |
0.999999002 |
0.999999002 |
0.999999002 |
0.999999 |
0.999999002 |
0.999999 |
0.999999 |
346792.794 |
1.00E-06 |
13570.93 |
2700624 |
8 |
|||||||||||
y[0] |
y[1] |
y[2] |
y[3] |
y[4] |
y[5] |
y[6] |
y[7] |
迭代次数 |
δ |
耗时ms/pc |
耗时ms/199 |
0.99900668 |
0.999006061 |
0.999006291 |
0.9990062 |
0.999006953 |
0.99900644 |
0.9990068 |
0.999006514 |
443.41206 |
0.001 |
20.82914573 |
4177 |
0.999900452 |
0.999900456 |
0.999900442 |
0.9999004 |
0.999900456 |
0.99990045 |
0.9999004 |
0.999900411 |
3803.60804 |
1.00E-04 |
154.3266332 |
30711 |
0.999910358 |
0.999910385 |
0.999910357 |
0.9999104 |
0.999910358 |
0.99991042 |
0.9999104 |
0.999910366 |
4210.44221 |
9.00E-05 |
169.5929648 |
33765 |
0.999920348 |
0.999920357 |
0.99992035 |
0.9999203 |
0.999920339 |
0.99992036 |
0.9999204 |
0.999920337 |
4702.14573 |
8.00E-05 |
189.4522613 |
37766 |
0.999930291 |
0.999930322 |
0.999930286 |
0.9999303 |
0.99993029 |
0.99993029 |
0.9999303 |
0.999930285 |
5340.37186 |
7.00E-05 |
215.2311558 |
42831 |
0.999940262 |
0.99994022 |
0.999940227 |
0.9999402 |
0.999940269 |
0.99994024 |
0.9999403 |
0.999940254 |
6199.16583 |
6.00E-05 |
249.4321608 |
49637 |
0.9999502 |
0.999950187 |
0.999950178 |
0.9999502 |
0.999950197 |
0.99995018 |
0.9999502 |
0.999950194 |
7390.21106 |
5.00E-05 |
296.241206 |
58983 |
0.999960155 |
0.999960153 |
0.999960153 |
0.9999602 |
0.999960145 |
0.99996015 |
0.9999601 |
0.999960133 |
9210.08543 |
4.00E-05 |
369.8090452 |
73607 |
0.99997011 |
0.999970101 |
0.999970111 |
0.9999701 |
0.99997012 |
0.99997012 |
0.9999701 |
0.999970109 |
12151.4221 |
3.00E-05 |
485.3417085 |
96583 |
0.999980071 |
0.999980069 |
0.999980076 |
0.9999801 |
0.999980068 |
0.99998007 |
0.9999801 |
0.999980064 |
18031.5729 |
2.00E-05 |
722.4070352 |
143759 |
0.999990029 |
0.999990031 |
0.999990031 |
0.99999 |
0.999990034 |
0.99999003 |
0.99999 |
0.999990033 |
35480.5327 |
1.00E-05 |
1446.914573 |
287936 |
0.999991027 |
0.999991026 |
0.999991025 |
0.999991 |
0.999991027 |
0.99999103 |
0.999991 |
0.999991027 |
39276.7136 |
9.00E-06 |
1615.080402 |
321401 |
0.999992023 |
0.999992022 |
0.999992025 |
0.999992 |
0.999992024 |
0.99999202 |
0.999992 |
0.999992025 |
44044.7889 |
8.00E-06 |
1800.276382 |
358257 |
0.999993021 |
0.999993021 |
0.999993021 |
0.999993 |
0.999993022 |
0.99999302 |
0.999993 |
0.999993019 |
50378.9799 |
7.00E-06 |
2063.281407 |
410596 |
0.999994017 |
0.999994018 |
0.999994017 |
0.999994 |
0.999994017 |
0.99999402 |
0.999994 |
0.999994018 |
58537.7889 |
6.00E-06 |
2351.864322 |
468027 |
0.999995013 |
0.999995013 |
0.999995013 |
0.999995 |
0.999995012 |
0.99999501 |
0.999995 |
0.999995014 |
69949.1508 |
5.00E-06 |
2892.105528 |
575547 |
0.999996011 |
0.999996011 |
0.999996011 |
0.999996 |
0.99999601 |
0.99999601 |
0.999996 |
0.999996011 |
87275.2814 |
4.00E-06 |
3325.226131 |
661722 |
0.999997008 |
0.999997008 |
0.999997007 |
0.999997 |
0.999997007 |
0.99999701 |
0.999997 |
0.999997008 |
115866.211 |
3.00E-06 |
4580.693467 |
911564 |
0.999998005 |
0.999998004 |
0.999998005 |
0.999998 |
0.999998005 |
0.999998 |
0.999998 |
0.999998005 |
172890.779 |
2.00E-06 |
6952.336683 |
1383524 |
0.999999002 |
0.999999002 |
0.999999002 |
0.999999 |
0.999999002 |
0.999999 |
0.999999 |
0.999999002 |
342976.442 |
1.00E-06 |
13618.17085 |
2710017 |
9 |
||||||||||||
y[0] |
y[1] |
y[2] |
y[3] |
y[4] |
y[5] |
y[6] |
y[7] |
y[8] |
迭代次数 |
δ |
耗时ms/pc |
耗时ms/199 |
0.999007199 |
0.99900744 |
0.99900762 |
0.999008 |
0.999007455 |
0.999007175 |
0.999007422 |
0.999007 |
0.999007688 |
431.0552764 |
0.001 |
21.8241206 |
4343 |
0.999900494 |
0.999900416 |
0.99990044 |
0.9999 |
0.999900473 |
0.999900458 |
0.999900479 |
0.9999004 |
0.999900509 |
3730.974874 |
1.00E-04 |
158.3517588 |
31543 |
0.999910389 |
0.999910431 |
0.99991043 |
0.99991 |
0.999910433 |
0.999910397 |
0.999910444 |
0.9999104 |
0.999910441 |
4112.432161 |
9.00E-05 |
166.4170854 |
33150 |
0.999920385 |
0.99992036 |
0.99992035 |
0.99992 |
0.999920364 |
0.99992036 |
0.999920372 |
0.9999204 |
0.999920365 |
4635.095477 |
8.00E-05 |
186.9447236 |
37217 |
0.999930324 |
0.999930299 |
0.9999303 |
0.99993 |
0.999930323 |
0.99993032 |
0.999930295 |
0.9999303 |
0.999930318 |
5267.306533 |
7.00E-05 |
212.3768844 |
42294 |
0.999940261 |
0.999940261 |
0.99994025 |
0.99994 |
0.999940255 |
0.999940251 |
0.999940275 |
0.9999403 |
0.999940251 |
6103.39196 |
6.00E-05 |
247.2110553 |
49195 |
0.999950198 |
0.999950223 |
0.99995022 |
0.99995 |
0.999950218 |
0.99995019 |
0.99995021 |
0.9999502 |
0.999950199 |
7264.241206 |
5.00E-05 |
292.281407 |
58180 |
0.99996015 |
0.999960161 |
0.99996017 |
0.99996 |
0.999960158 |
0.999960149 |
0.999960165 |
0.9999602 |
0.999960157 |
9052.115578 |
4.00E-05 |
364.4321608 |
72538 |
0.999970119 |
0.999970112 |
0.99997012 |
0.99997 |
0.999970112 |
0.99997012 |
0.999970104 |
0.9999701 |
0.999970113 |
11946.36683 |
3.00E-05 |
478.5829146 |
95255 |
0.999980072 |
0.999980074 |
0.99998007 |
0.99998 |
0.999980077 |
0.999980074 |
0.999980072 |
0.9999801 |
0.999980073 |
17823.73869 |
2.00E-05 |
714.3668342 |
142174 |
0.999990033 |
0.999990033 |
0.99999003 |
0.99999 |
0.999990028 |
0.999990027 |
0.999990032 |
0.99999 |
0.999990034 |
35044.10553 |
1.00E-05 |
1429.281407 |
284429 |
0.999991031 |
0.999991027 |
0.99999103 |
0.999991 |
0.999991029 |
0.999991028 |
0.999991028 |
0.999991 |
0.999991029 |
38824.45226 |
9.00E-06 |
1600.41206 |
318483 |
0.999992023 |
0.999992025 |
0.99999203 |
0.999992 |
0.999992024 |
0.999992026 |
0.999992024 |
0.999992 |
0.999992026 |
43636.56281 |
8.00E-06 |
1791.261307 |
356462 |
0.99999302 |
0.999993019 |
0.99999302 |
0.999993 |
0.999993022 |
0.999993022 |
0.999993022 |
0.999993 |
0.99999302 |
49752.84422 |
7.00E-06 |
2046.577889 |
407287 |
0.999994016 |
0.999994017 |
0.99999402 |
0.999994 |
0.999994016 |
0.999994016 |
0.999994018 |
0.999994 |
0.999994017 |
57909.44724 |
6.00E-06 |
2326.291457 |
462936 |
0.999995013 |
0.999995013 |
0.99999501 |
0.999995 |
0.999995015 |
0.999995013 |
0.999995013 |
0.999995 |
0.999995013 |
69377.80905 |
5.00E-06 |
2877.271357 |
572580 |
0.99999601 |
0.999996011 |
0.99999601 |
0.999996 |
0.999996011 |
0.999996009 |
0.99999601 |
0.999996 |
0.999996011 |
86532.37186 |
4.00E-06 |
2948.025126 |
586688 |
0.999997008 |
0.999997007 |
0.99999701 |
0.999997 |
0.999997007 |
0.999997008 |
0.999997007 |
0.999997 |
0.999997008 |
114956.8392 |
3.00E-06 |
4570.582915 |
909554 |
0.999998004 |
0.999998005 |
0.999998 |
0.999998 |
0.999998004 |
0.999998005 |
0.999998005 |
0.999998 |
0.999998004 |
171548.0653 |
2.00E-06 |
6889.577889 |
1371032 |
0.999999002 |
0.999999002 |
0.999999 |
0.999999 |
0.999999002 |
0.999999002 |
0.999999002 |
0.999999 |
0.999999002 |
340918.8291 |
1.00E-06 |
13648.60302 |
2716087 |
10 |
|||||||||||||
y[0] |
y[1] |
y[2] |
y[3] |
y[4] |
y[5] |
y[6] |
y[7] |
y[8] |
y[9] |
迭代次数 |
δ |
耗时ms/pc |
耗时ms/199 |
0.999007 |
0.999007485 |
0.999008 |
0.999008072 |
0.999007867 |
0.99900791 |
0.999007 |
0.999007724 |
0.999007563 |
0.999008 |
422.1859 |
0.001 |
19.31156 |
3843 |
0.999901 |
0.999900486 |
0.9999 |
0.99990054 |
0.999900467 |
0.999900497 |
0.999901 |
0.999900488 |
0.999900512 |
0.999901 |
3689.91 |
1.00E-04 |
150.5779 |
29980 |
0.99991 |
0.999910451 |
0.99991 |
0.999910436 |
0.999910453 |
0.999910447 |
0.99991 |
0.999910413 |
0.999910395 |
0.99991 |
4061.07 |
9.00E-05 |
165.0704 |
32865 |
0.99992 |
0.999920356 |
0.99992 |
0.999920346 |
0.999920379 |
0.999920375 |
0.99992 |
0.999920369 |
0.999920379 |
0.99992 |
4545.045 |
8.00E-05 |
185.005 |
36817 |
0.99993 |
0.999930318 |
0.99993 |
0.999930297 |
0.999930314 |
0.999930312 |
0.99993 |
0.999930309 |
0.999930285 |
0.99993 |
5195.794 |
7.00E-05 |
210.598 |
41909 |
0.99994 |
0.999940258 |
0.99994 |
0.99994024 |
0.999940265 |
0.999940247 |
0.99994 |
0.999940243 |
0.999940265 |
0.99994 |
6013.03 |
6.00E-05 |
244.206 |
48597 |
0.99995 |
0.99995023 |
0.99995 |
0.999950212 |
0.999950227 |
0.999950234 |
0.99995 |
0.999950212 |
0.999950204 |
0.99995 |
7183.638 |
5.00E-05 |
292.8794 |
58298 |
0.99996 |
0.999960168 |
0.99996 |
0.999960151 |
0.999960168 |
0.999960165 |
0.99996 |
0.999960176 |
0.999960155 |
0.99996 |
8949.553 |
4.00E-05 |
365.1156 |
72659 |
0.99997 |
0.999970122 |
0.99997 |
0.999970117 |
0.999970114 |
0.999970112 |
0.99997 |
0.999970126 |
0.999970109 |
0.99997 |
11854.15 |
3.00E-05 |
481.9749 |
95913 |
0.99998 |
0.999980068 |
0.99998 |
0.999980073 |
0.999980078 |
0.99998007 |
0.99998 |
0.999980074 |
0.999980072 |
0.99998 |
17580.09 |
2.00E-05 |
715.5025 |
142401 |
0.99999 |
0.99999003 |
0.99999 |
0.999990032 |
0.999990031 |
0.999990034 |
0.99999 |
0.999990032 |
0.999990034 |
0.99999 |
34729.51 |
1.00E-05 |
1415.221 |
281629 |
0.999991 |
0.999991026 |
0.999991 |
0.999991029 |
0.999991029 |
0.999991025 |
0.999991 |
0.999991026 |
0.999991028 |
0.999991 |
38528.14 |
9.00E-06 |
1567.116 |
311856 |
0.999992 |
0.999992025 |
0.999992 |
0.999992023 |
0.999992024 |
0.999992024 |
0.999992 |
0.999992023 |
0.999992023 |
0.999992 |
43338.54 |
8.00E-06 |
1247.246 |
248218 |
0.999993 |
0.99999302 |
0.999993 |
0.999993022 |
0.99999302 |
0.99999302 |
0.999993 |
0.999993019 |
0.999993021 |
0.999993 |
49410.88 |
7.00E-06 |
2257.693 |
449298 |
0.999994 |
0.999994017 |
0.999994 |
0.999994015 |
0.999994016 |
0.999994016 |
0.999994 |
0.999994017 |
0.999994016 |
0.999994 |
57503.69 |
6.00E-06 |
2336.683 |
465000 |
0.999995 |
0.999995014 |
0.999995 |
0.999995013 |
0.999995013 |
0.999995013 |
0.999995 |
0.999995014 |
0.999995013 |
0.999995 |
68948.26 |
5.00E-06 |
2811.437 |
559476 |
0.999996 |
0.99999601 |
0.999996 |
0.99999601 |
0.99999601 |
0.99999601 |
0.999996 |
0.999996011 |
0.999996011 |
0.999996 |
85864.19 |
4.00E-06 |
3473.131 |
691169 |
0.999997 |
0.999997008 |
0.999997 |
0.999997008 |
0.999997007 |
0.999997008 |
0.999997 |
0.999997007 |
0.999997007 |
0.999997 |
114138.9 |
3.00E-06 |
4639.392 |
923270 |
0.999998 |
0.999998004 |
0.999998 |
0.999998005 |
0.999998004 |
0.999998005 |
0.999998 |
0.999998005 |
0.999998005 |
0.999998 |
170747.8 |
2.00E-06 |
6680.111 |
1329342 |
0.999999 |
0.999999002 |
0.999999 |
0.999999002 |
0.999999002 |
0.999999002 |
0.999999 |
0.999999002 |
0.999999002 |
0.999999 |
339637.9 |
1.00E-06 |
13322.97 |
2651288 |
m=4的数据
0.99900244 0.999001741 0.999000743 0.999002011 590 0.001 358
0.999001004 0.999009895 0.99900625 0.999001372 497 0.001 15
0.999002931 0.999003575 0.999005987 0.999001434 546 0.001 47
0.999010724 0.999003279 0.999010698 0.999000921 512 0.001 16
0.999005525 0.999004883 0.999000952 0.999005886 527 0.001 15
0.999000823 0.999000914 0.99900506 0.999007891 524 0.001 16
0.999009291 0.999001985 0.999006577 0.999008319 517 0.001 15
0.999000184 0.999002495 0.999003807 0.999004541 492 0.001 31
0.999002224 0.999008407 0.999000948 0.999006366 513 0.001 16
0.999002404 0.999001642 0.999001576 0.999002531 517 0.001 16
0.999002783 0.99900298 0.999001421 0.999002094 569 0.001 40
0.999003316 0.999001957 0.999006211 0.999006308 519 0.001 31
0.999000057 0.99900211 0.999003802 0.999002951 515 0.001 23
0.999003198 0.999001756 0.999001501 0.999003755 623 0.001 34
0.999005488 0.999006634 0.999001806 0.999003643 507 0.001 15
0.999001298 0.999002279 0.99900761 0.999002189 497 0.001 16
0.999003419 0.999006936 0.999008169 0.999002132 481 0.001 31
0.999001752 0.999005006 0.999008508 0.999001997 510 0.001 16
0.99901175 0.99900634 0.999007643 0.999000364 495 0.001 15
0.999005875 0.999003736 0.999001082 0.999003636 594 0.001 32
0.999001374 0.999001969 0.999003526 0.999002019 538 0.001 15
0.999003451 0.999005243 0.99900177 0.999002114 575 0.001 31
0.999001992 0.999002879 0.999000107 0.9990051 512 0.001 16
0.999001139 0.999006869 0.999010152 0.999011942 485 0.001 16
0.999002471 0.999003025 0.999000801 0.999002014 527 0.001 31
0.999008046 0.999005676 0.99900135 0.999003416 557 0.001 16
0.999004484 0.999006473 0.999001657 0.999007855 540 0.001 31
0.999004845 0.999005512 0.999001633 0.999002352 552 0.001 15
0.999011652 0.999002326 0.999013066 0.999013361 477 0.001 16
0.99900818 0.999000686 0.999013598 0.999004206 454 0.001 31
0.999000309 0.999003174 0.9990017 0.999000774 489 0.001 16
0.999001853 0.999001131 0.999002767 0.999000749 634 0.001 31
0.99900209 0.999004876 0.999001105 0.999001858 553 0.001 31
0.99900053 0.999006987 0.999001905 0.999005364 479 0.001 16
0.999010075 0.999008803 0.999001317 0.99900786 536 0.001 16
0.9990045 0.999002726 0.999000332 0.999001069 566 0.001 31
0.999001546 0.999005911 0.999004183 0.999003618 496 0.001 16
0.999003204 0.999008334 0.999007228 0.999001564 478 0.001 15
0.999001388 0.999002981 0.999003405 0.999000967 530 0.001 15
0.9990059 0.999002729 0.999001932 0.999003899 587 0.001 16
0.999004581 0.999003145 0.999001357 0.999006299 525 0.001 31
0.999002639 0.999001461 0.99900045 0.999005458 552 0.001 16
0.999007984 0.999002164 0.999004033 0.999003354 494 0.001 16
0.999005166 0.999002023 0.999006629 0.999003141 541 0.001 31
0.99900561 0.999001303 0.999008741 0.999007527 528 0.001 15
0.999001956 0.999003737 0.999006216 0.999002992 537 0.001 32
0.999010405 0.999001058 0.999006333 0.999008978 520 0.001 15
0.999008215 0.999001444 0.999006274 0.999007489 520 0.001 32
0.999002785 0.999002753 0.99900022 0.999005962 563 0.001 15
0.999008453 0.999004354 0.999003902 0.99900061 517 0.001 16
0.99900483 0.999004157 0.999001111 0.999004907 502 0.001 31
0.999001051 0.999002026 0.999002328 0.99900382 530 0.001 16
0.999000666 0.999002721 0.999005455 0.999003015 504 0.001 34
0.999000011 0.999000774 0.999001824 0.999000829 553 0.001 31
0.999003229 0.99900039 0.999001684 0.999001916 586 0.001 16
0.999000334 0.999002338 0.999003045 0.999001904 646 0.001 31
0.999002994 0.999004574 0.999003455 0.999001608 637 0.001 31
0.999001607 0.999009231 0.999002525 0.999005563 518 0.001 16
0.999008144 0.999005974 0.999001904 0.999005678 566 0.001 16
0.99900249 0.999009729 0.999003669 0.999002095 530 0.001 31
0.999006056 0.99900318 0.999002029 0.999000819 531 0.001 15
0.999002126 0.999005905 0.999005789 0.999001055 557 0.001 32
0.999000977 0.999003831 0.999002062 0.999002219 499 0.001 15
0.999003725 0.999002101 0.999006878 0.999003519 511 0.001 16
0.999001751 0.999005637 0.999005943 0.999004148 531 0.001 31
0.999004305 0.999000406 0.999002493 0.999006119 491 0.001 16
0.999001166 0.999002771 0.999003344 0.999002131 563 0.001 40
0.999003623 0.99900154 0.999006062 0.999003028 499 0.001 21
0.999007391 0.99900394 0.999006264 0.99900137 539 0.001 32
0.99900757 0.999001405 0.999007396 0.999003318 499 0.001 15
0.999002969 0.999002947 0.999000986 0.999000929 530 0.001 31
0.99900475 0.999001111 0.99900136 0.999000553 543 0.001 16
0.999007748 0.999001847 0.999005225 0.999001288 547 0.001 15
0.999005336 0.999001135 0.999003313 0.999005564 560 0.001 48
0.999002796 0.999002679 0.999001181 0.999001266 574 0.001 16
0.999008146 0.99900407 0.999003307 0.999001364 534 0.001 31
0.999003701 0.999002045 0.99900478 0.999005046 541 0.001 16
0.999001884 0.99900466 0.999000711 0.99900555 558 0.001 31
0.999002842 0.999000546 0.999001872 0.999007863 552 0.001 16
0.99900483 0.999002188 0.999001041 0.99900054 571 0.001 15
0.999000464 0.999001026 0.999004658 0.999004346 548 0.001 31
0.999000937 0.999005977 0.999003404 0.99900204 542 0.001 16
0.999006755 0.999003014 0.999003001 0.999001003 492 0.001 16
0.999000275 0.999002217 0.999001372 0.999004836 553 0.001 31
0.999006519 0.999005089 0.999000062 0.999006785 553 0.001 16
0.999000997 0.999001415 0.999003329 0.999004431 524 0.001 15
0.999004485 0.99900554 0.999001129 0.999003477 565 0.001 31
0.99900196 0.999000064 0.99900191 0.999004205 492 0.001 16
0.999002679 0.999001615 0.999000578 0.99900042 590 0.001 31
0.999003076 0.999002536 0.999001362 0.999005986 703 0.001 16
0.999004216 0.99900227 0.999004901 0.99900014 471 0.001 31
0.999001302 0.999003986 0.999002068 0.999002952 543 0.001 16
0.999004023 0.999002597 0.999000744 0.999000495 533 0.001 15
0.999005204 0.999002789 0.999001609 0.999001155 521 0.001 32
0.999001085 0.999005584 0.999000189 0.999000206 565 0.001 15
0.999000704 0.999001603 0.999001629 0.999002278 554 0.001 16
0.999005972 0.999003839 0.999001522 0.999006819 532 0.001 36
0.999003763 0.999003612 0.999004631 0.999000799 550 0.001 22
0.999010804 0.999008182 0.99900105 0.99900207 534 0.001 22
0.999003422 0.999005951 0.999001457 0.999003807 607 0.001 24
0.999003981 0.999000619 0.999003511 0.999003398 536 0.001 22
0.999004989 0.999007391 0.999008948 0.999001646 546 0.001 22
0.999007884 0.999005154 0.999006115 0.999000312 513 0.001 21
0.999001007 0.999001428 0.999000335 0.999003151 556 0.001 22
0.999001597 0.999007625 0.999005715 0.999009321 592 0.001 24
0.999000352 0.999008627 0.999004243 0.999004369 544 0.001 21
0.999005418 0.99900448 0.999001241 0.999002334 595 0.001 24
0.999002431 0.999003459 0.999001929 0.999003839 556 0.001 22
0.999002721 0.99900213 0.999001996 0.99900267 561 0.001 23
0.999004521 0.999001254 0.999012342 0.99900916 584 0.001 23
0.999007084 0.999005227 0.999001686 0.999000569 544 0.001 21
0.999006232 0.999004253 0.999003322 0.99900166 518 0.001 21
0.999002474 0.999000815 0.99900754 0.999001455 518 0.001 21
0.999001824 0.999003083 0.999003378 0.999003036 568 0.001 23
0.999004853 0.999002223 0.99900116 0.999003637 639 0.001 24
0.999003406 0.999001821 0.999002613 0.999003069 561 0.001 23
0.999004881 0.999009029 0.999001382 0.999008622 513 0.001 19
0.999002345 0.999001998 0.999009321 0.999008799 479 0.001 20
0.999000636 0.999000064 0.999002479 0.999004344 586 0.001 27
0.999001849 0.999008158 0.999001496 0.999000911 502 0.001 16
0.999007021 0.999001805 0.999002525 0.999004993 529 0.001 31
0.999009022 0.999004031 0.999000023 0.999001578 561 0.001 16
0.99900117 0.999003005 0.999000318 0.999002195 582 0.001 31
0.999006631 0.99900461 0.999007843 0.999002173 481 0.001 16
0.999003177 0.999002781 0.999001323 0.999001365 528 0.001 24
0.999003148 0.999004061 0.999000594 0.999004245 549 0.001 22
0.999001497 0.999004445 0.999004008 0.99900346 532 0.001 22
0.999003357 0.999006686 0.999002102 0.999001277 552 0.001 30
0.999002268 0.999002308 0.999004541 0.999001542 593 0.001 24
0.99900482 0.999005765 0.999003078 0.999001544 552 0.001 21
0.99900005 0.999001651 0.999000126 0.999004196 526 0.001 22
0.999000326 0.999006084 0.999007291 0.999001847 563 0.001 21
0.999000149 0.999001477 0.999001495 0.999005821 545 0.001 22
0.999007303 0.999008543 0.999005273 0.999002124 522 0.001 20
0.999003861 0.999004422 0.999008371 0.999000153 537 0.001 22
0.99900063 0.99900918 0.999002491 0.999000294 513 0.001 20
0.999005576 0.99900121 0.999003198 0.999006119 500 0.001 21
0.999006125 0.999003819 0.999000445 0.999002632 495 0.001 19
0.999002382 0.999005209 0.999000163 0.999001382 543 0.001 22
0.99900391 0.999002482 0.99900866 0.999000381 511 0.001 19
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0.999999001 0.999999001 0.999999 0.999999003 354140 1.00E-06 13836
0.999999003 0.999999003 0.999999 0.999999003 359891 1.00E-06 14189
0.999999 0.999999004 0.999999002 0.999999 366357 1.00E-06 14532
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0.999999 0.999999001 0.999999 0.999999003 371969 1.00E-06 14743
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0.999999001 0.999999 0.999999002 0.999999 372925 1.00E-06 14648
0.999999 0.999999 0.999999 0.999999001 380093 1.00E-06 14945
0.999999 0.999999002 0.999999002 0.999999 361064 1.00E-06 14271
0.999999001 0.999999002 0.999999 0.999999004 375623 1.00E-06 14829
0.999999 0.999999 0.999999003 0.999999005 366838 1.00E-06 14515
0.999999001 0.999999003 0.999999 0.999999001 366979 1.00E-06 14572
0.999999002 0.999999 0.999999002 0.999999003 366009 1.00E-06 14533
0.999999003 0.999999004 0.999999 0.999999003 357908 1.00E-06 14147
0.999999003 0.999999003 0.999999 0.999999004 356156 1.00E-06 14101
0.999999002 0.999999002 0.999999 0.999999 380984 1.00E-06 14970
0.999999002 0.999999001 0.999999001 0.999999 355729 1.00E-06 14121
0.999999 0.999999002 0.999999 0.999999001 354998 1.00E-06 13977
0.999999 0.999999001 0.999999003 0.999999003 372616 1.00E-06 14581
0.999999 0.999999005 0.999999002 0.999999005 379018 1.00E-06 15019
2877421
这次数据比较多有感兴趣的朋友可以到我的资源里下载。