2019-07-12 20:50:36 +00:00
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import numpy as np
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c = np.array(
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[ 15 # (x**0
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, 1 # x**1
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, -6 # x**2
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, 0 # x**3
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, 0 # x**4
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, 0 # x**5
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, 0 # x**6)
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, 1 # *c*exp(
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2019-07-15 19:45:32 +00:00
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, -0.7 # c
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2019-07-12 20:50:36 +00:00
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, 0 # (r - c))
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2019-07-16 19:16:08 +00:00
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, +5 # + c*exp(
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2019-07-12 20:50:36 +00:00
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, -.1 # c
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, 2 # (r - c))
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2019-07-15 19:45:32 +00:00
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, -0 # + c*exp(
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2019-07-12 20:50:36 +00:00
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, -0.05 # c
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, 40 # (r - c)**2)
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2019-07-15 19:45:32 +00:00
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, 0 # + c*exp(
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2019-07-12 20:50:36 +00:00
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, -0.05 # c
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2019-07-13 12:31:37 +00:00
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, 20 # (r - c)**2)
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, 1] # dt
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2019-07-12 20:50:36 +00:00
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, dtype=np.float16)
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