Shamrock math derivatives functions#

This example shows how to use Shamrock math derivatives functions

 9 from math import *
10
11 import matplotlib.pyplot as plt
12 import numpy as np
13 from shamrock.math import *
14
15 import shamrock

Use shamrock documentation style for matplotlib

20 shamrock.matplotlib.set_shamrock_mpl_style()

Compute the error associated to a derivative function

27 def err_plot(deriv_func, x, f, df, label):
28     h = np.logspace(-16, 0, 100)
29     err = []
30
31     for i in range(len(h)):
32         _err = deriv_func(x, h[i], f) - df(x)
33         err.append(fabs(_err))
34     plt.plot(h, err, "o", label=label)
35
36
37 def analysis(f, df, x0, label):
38     plt.figure()
39
40     # fmt: off
41     err_plot(deriv_func=derivative_upwind, x=x0, f=f, df=df, label="derivative_upwind")
42     err_plot(deriv_func=derivative_centered, x=x0, f=f, df=df, label="derivative_centered")
43     err_plot(deriv_func=derivative_3point_forward, x=x0, f=f, df=df, label="derivative_3point_forward")
44     err_plot(deriv_func=derivative_3point_backward, x=x0, f=f, df=df, label="derivative_3point_backward")
45     err_plot(deriv_func=derivative_5point_midpoint, x=x0, f=f, df=df, label="derivative_5point_midpoint")
46     # fmt: on
47
48     plt.xscale("log")
49     plt.yscale("log")
50
51     ymin, ymax = plt.gca().get_ylim()
52     plt.ylim(ymin, ymax)
53
54     for i in range(1, 4):
55         print(i, estim_deriv_step(i))
56         plt.vlines(estim_deriv_step(i), 1e-50, 1e50, color="grey", alpha=0.3)
57
58     plt.xlabel("h")
59     plt.ylabel("error")
60     plt.title(label)
61     plt.legend()

Example of analysis

68 def f1(x):
69     return exp(x)
70
71
72 def df1(x):
73     return exp(x)
74
75
76 analysis(f1, df1, 0, "exp(0)")
77 analysis(f1, df1, 100, "exp(100)")
78
79
80 def f2(x):
81     return sin(x**2)
82
83
84 def df2(x):
85     return cos(x**2) * 2 * x
86
87
88 analysis(f2, df2, 0, "sin(0)")
89 analysis(f2, df2, 100, "sin(100)")
90
91 plt.show()
  • exp(0)
  • exp(100)
  • sin(0)
  • sin(100)
1 1.4901161193847656e-08
2 6.055454452393344e-06
3 0.0001220703125
1 1.4901161193847656e-08
2 6.055454452393344e-06
3 0.0001220703125
1 1.4901161193847656e-08
2 6.055454452393344e-06
3 0.0001220703125
1 1.4901161193847656e-08
2 6.055454452393344e-06
3 0.0001220703125

Total running time of the script: (0 minutes 0.966 seconds)

Estimated memory usage: 159 MB

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