Created
October 7, 2016 15:52
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| import numpy as np | |
| epsilon = 1e-8 | |
| g2 = 0 | |
| for g in [1, 10, 100]: | |
| for t in range(10): | |
| g2 = 0.95 * g2 + 0.05 * g ** 2 | |
| dx = -1e-4 / np.sqrt(g2 + epsilon) * g | |
| print(t, dx) | |
| # Result | |
| # 0 -0.000447213550779 | |
| # 1 -0.000320256291187 | |
| # 2 -0.000264790351464 | |
| # 3 -0.000232185635364 | |
| # 4 -0.000210249703143 | |
| # 5 -0.00019429085759 | |
| # 6 -0.000182070331555 | |
| # 7 -0.000172367792128 | |
| # 8 -0.000164454422172 | |
| # 9 -0.000157864836382 | |
| # 0 -0.000431082543416 | |
| # 1 -0.000314469452702 | |
| # 2 -0.000261653428025 | |
| # 3 -0.000230166780322 | |
| # 4 -0.000208821535075 | |
| # 5 -0.000193218133417 | |
| # 6 -0.000181230547534 | |
| # 7 -0.000171690169511 | |
| # 8 -0.000163894889111 | |
| # 9 -0.000157394352457 | |
| # 0 -0.000430991153107 | |
| # 1 -0.00031443574369 | |
| # 2 -0.000261634980533 | |
| # 3 -0.000230154850839 | |
| # 4 -0.000208813071567 | |
| # 5 -0.000193211764046 | |
| # 6 -0.000181225554389 | |
| # 7 -0.00017168613638 | |
| # 8 -0.000163891556168 | |
| # 9 -0.000157391548159 |
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