0 -0 0 -0 0 -0 -0
1 0.999491 0.0426775 0.43876 0.251928 -0.0572238 -0.492419
2 1 0.154224 -0.24811 0.135596 -0.230224 -0.257815
3 0.998146 0.0149996 -0.338006 -0.350477 -0.549412 -0.317009
4 0.997252 -0.0351544 0.591948 -0.140659 -0.321548 -0.187747
5 0.996921 -0.0194431 0.120596 0.273356 0.309757 -0.43494
6 0.998017 0.155323 -0.305668 -0.173064 -0.292047 -0.0274452
7 0.9981 0.206608 0.685103 0.402569 0.00770092 0.0573476
8 0.992956 -0.277283 0.214789 -0.239234 0.0118249 -0.0844964
9 0.994906 -0.0231167 0.253213 -0.533068 0.29921 0.0120054
10 0.993164 -0.141043 -0.727213 -0.414103 -0.541228 -0.158376
11 0.996203 0.221995 -0.0815269 -0.829196 -0.132114 -0.200144
12 0.993729 0.0122149 0.139116 0.0582172 0.0347245 0.068416
13 0.991836 -0.134496 0.224438 0.369145 -0.256553 -0.0173405
14 0.994581 0.210024 -0.439411 0.781811 -0.0025485 -0.21199
15 0.991329 -0.0798345 -0.0443208 -0.311511 -0.314241 0.131502
16 0.994564 0.307157 0.445323 -0.825555 -0.157863 0.0733368
17 0.993522 0.248597 0.327728 0.210982 0.0960179 0.13653
18 0.994344 0.395179 -0.103437 1 -0.426073 0.607254
19 0.996736 0.699513 -0.424278 0.737927 -0.508563 -0.156766
20 0.988342 -0.133861 -0.0163099 -0.660863 -0.192779 0.419685
21 0.992178 0.324368 -0.285722 -0.701353 -0.52752 -0.0648807
22 0.986007 -0.281999 0.132144 -0.428966 0.538716 0.127182
23 0.99217 0.419724 0.186912 -0.915022 0.28042 0.573233
24 0.995532 0.826449 -0.0427752 -0.272331 0.106766 0.29995
25 0.986724 -0.0488152 0.608271 0.771368 -0.410497 -0.298002
26 0.987034 0.0347474 0.252965 -0.803019 0.230383 0.157493
27 0.985131 -0.109649 0.0371084 -0.412659 -0.106479 -0.0126199
28 0.98485 -0.0918018 0.0628785 0.196341 0.449526 -0.471509
29 0.984495 -0.0733819 0.238892 -0.66334 -0.198948 0.0834332
30 0.98834 0.387801 -0.800379 -0.0887451 0.0455077 -0.376631
31 0.992229 0.840318 0.291257 0.7257 -0.120247 -0.467262
32 0.986086 0.247216 0.920473 0.486942 -0.477157 0.273169
33 0.982449 -0.0855304 -0.0496786 0.319235 1 0.160764
34 0.988389 0.598029 -0.7962 0.421144 0.738735 0.241528
35 0.985192 0.3165 0.186703 0.208068 -0.471206 0.710386
36 0.98457 0.30471 -0.739395 -0.137997 0.149098 0.419525
37 0.980337 -0.0969013 0.0114147 0.256915 0.477675 0.258263
38 0.985214 0.476293 -0.396241 -0.660419 -0.462263 0.117996
39 0.980671 0.0466945 0.0546987 -0.57163 -0.250162 -0.129572
40 0.981702 0.197721 0.650111 -0.623943 0.257685 -0.380483
41 0.988761 1 -0.485783 0.0182825 0.479633 0.207078
42 0.981914 0.335688 -0.293559 -0.294229 -0.172758 -0.0788776
43 0.981289 0.317115 -0.210451 -0.29107 0.28119 -0.245692
44 0.982003 0.44932 0.232309 0.536336 -0.371955 0.970449
45 0.9805 0.334619 0.69563 0.155646 0.112148 0.172706
46 0.978506 0.183854 -0.00049431 -0.325425 -0.356982 -0.284835
47 0.97762 0.142174 -0.00783588 -0.280865 -0.232547 -0.442293
48 0.981271 0.568967 1 -0.0709583 0.086868 0.371148
49 0.98069 0.565206 0.533323 -0.134864 -0.245372 0.0624714
50 0.974177 -0.0671152 0.164623 -0.594262 0.221541 -0.0535666
51 0.977222 0.308544 -0.176571 -0.867848 -0.0312194 -0.206918
52 0.972124 -0.181143 0.0356145 0.51703 0.443007 -0.523158
53 0.974485 0.123187 0.0872402 -0.187854 -0.0336342 -0.188425
54 0.973973 0.116194 0.141107 0.0606847 0.756863 0.181446
55 0.977078 0.497933 -0.00566956 0.421393 0.192308 -0.315876
56 0.972643 0.0953878 -0.576154 0.489545 -0.540208 0.306474
57 0.972149 0.0912125 -0.194979 0.0260226 -0.392222 0.13092
58 0.971737 0.0964781 -0.018676 -0.182638 -0.259694 -0.447688
59 0.970118 -0.0233081 0.169862 0.191903 -0.146623 -0.245077
60 0.972016 0.219177 0.408189 0.241499 0.775157 -0.353753
61 0.973356 0.425798 -0.43217 -0.800339 0.00780412 0.369048
62 0.967342 -0.160065 0.107259 0.265867 0.161782 -0.181867
63 0.967853 -0.0559294 0.112167 -0.289114 0.261528 -0.282184
64 0.968716 0.0926117 -0.560704 -0.0485745 0.197405 -0.0605519
65 0.965362 -0.212431 0.491328 0.164715 0.188342 1
66 0.963619 -0.340887 0.168072 -0.162455 -0.049667 0.341478
67 0.965262 -0.119024 0.416399 0.558123 -0.316621 -0.495638
68 0.965785 -0.00931112 -0.429525 0.0698741 0.398303 0.209768
69 0.969632 0.448158 -0.362287 0.494732 0.0210751 -0.203317
70 0.968821 0.405073 0.674715 -0.0999465 0.360552 0.0773917
71 0.96514 0.081635 -0.148412 0.202992 -0.309368 -0.192133
72 0.964141 0.0219314 -0.208287 0.0724676 0.77663 -0.030974
73 0.963269 -0.0124914 0.0655396 0.764972 -0.429076 -0.39249
74 0.963567 0.0738101 -0.45409 -0.161952 -0.224135 -0.204641
75 0.964335 0.200223 0.329965 -0.00128515 -0.356892 -0.567216
76 0.958569 -0.349303 -0.0130115 0.741859 -0.032148 0.61957
77 0.962976 0.165409 -0.304735 0.333766
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C 代码 读取包含历史降雪数据的文件,并 使用奇异值分解 (SVD) 分析数据.rar (18个子文件)
svd_snowfall_test
svd_snowfall_test.sh 436B
svd_snowfall_test.c 20KB
umode_data.txt 1KB
snowfall.txt 10KB
approx_data.txt 1KB
approx_commands.txt 2KB
vmode_data.txt 13KB
vmode_commands.txt 1KB
singular_values_commands.txt 311B
umode_commands.txt 1KB
svd_snowfall_test.txt 2KB
singular_values_data.txt 230B
svd_snowfall
svd_snowfall.c 64KB
svd_snowfall.h 2KB
svd_snowfall.sh 227B
._snowfall.txt 4KB
._svd_snowfall.sh 4KB
._svd_snowfall.c 4KB
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