Created
October 7, 2016 15:47
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| import numpy as np | |
| epsilon = 1e-8 | |
| dx2 = 0 | |
| g2 = 0 | |
| for g in [1, 10, 100]: | |
| for t in range(10): | |
| g2 = 0.95 * g2 + 0.05 * g ** 2 | |
| dx = -np.sqrt(dx2 + epsilon) / np.sqrt(g2 + epsilon) * g | |
| dx2 = 0.95 * dx2 + 0.05 * dx ** 2 | |
| print(t, dx) | |
| # Result | |
| # 0 -0.000447213550779 | |
| # 1 -0.000452910767786 | |
| # 2 -0.000456764555727 | |
| # 3 -0.000459705739871 | |
| # 4 -0.00046210346643 | |
| # 5 -0.000464141207124 | |
| # 6 -0.000465923319952 | |
| # 7 -0.000467514783232 | |
| # 8 -0.000468958777606 | |
| # 9 -0.000470285445393 | |
| # 0 -0.00133474040553 | |
| # 1 -0.00133659137432 | |
| # 2 -0.0013378713046 | |
| # 3 -0.00133886088335 | |
| # 4 -0.00133967488093 | |
| # 5 -0.0013403713847 | |
| # 6 -0.00134098384571 | |
| # 7 -0.00134153328328 | |
| # 8 -0.00134203376517 | |
| # 9 -0.00134249516794 | |
| # 0 -0.00381070820524 | |
| # 1 -0.00381135678169 | |
| # 2 -0.00381180576112 | |
| # 3 -0.00381215316105 | |
| # 4 -0.00381243909698 | |
| # 5 -0.00381268388507 | |
| # 6 -0.00381289923058 | |
| # 7 -0.00381309249154 | |
| # 8 -0.00381326859415 | |
| # 9 -0.00381343099795 |
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