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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 += g ** 2 | |
| dx = -5e-4 / np.sqrt(g2 + epsilon) * g | |
| print(t, dx) | |
| # Result | |
| # 0 -0.0004999999975 | |
| # 1 -0.000353553389709 | |
| # 2 -0.000288675134114 | |
| # 3 -0.000249999999688 | |
| # 4 -0.000223606797526 | |
| # 5 -0.000204124145062 | |
| # 6 -0.00018898223637 | |
| # 7 -0.000176776695186 | |
| # 8 -0.000166666666574 | |
| # 9 -0.000158113882929 | |
| # 0 -0.000476731294601 | |
| # 1 -0.000345032779663 | |
| # 2 -0.000283980917119 | |
| # 3 -0.000246932399159 | |
| # 4 -0.000221403721383 | |
| # 5 -0.000202444082543 | |
| # 6 -0.000187646656259 | |
| # 7 -0.00017568209223 | |
| # 8 -0.000165748386032 | |
| # 9 -0.000157329193881 | |
| # 0 -0.000476514746215 | |
| # 1 -0.000344950658337 | |
| # 2 -0.000283935124828 | |
| # 3 -0.000246902290963 | |
| # 4 -0.000221382018329 | |
| # 5 -0.000202427490807 | |
| # 6 -0.000187633443103 | |
| # 7 -0.000175671248662 | |
| # 8 -0.000165739279729 | |
| # 9 -0.000157321405886 |
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