Table 4 The average computational time under different sample times (ms)

From: Solving two-stage stochastic route-planning problem in milliseconds via end-to-end deep learning

n 100,000 10,000 1000 100 10 1
2 74.031 7.457 0.752 0.077 0.0075 0.00086
3 103.763 10.417 1.047 0.105 0.0124 0.0016
4 129.077 12.832 1.289 0.138 0.0144 0.0022
5 153.442 15.443 1.554 0.158 0.0178 0.0022
6 174.449 17.222 1.727 0.18 0.02 0.0024
7 171.149 17.219 1.722 0.179 0.0184 0.0034
8 155.529 15.655 1.595 0.163 0.0164 0.0016
Average 127.070 12.728 1.281 0.132 0.014 0.002