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Module « scipy.special »
Signature de la fonction mathieu_cem
def mathieu_cem(*args, **kwargs)
Description
help(scipy.special.mathieu_cem)
mathieu_cem(x1, x2, x3[, out1, out2], / [, out=(None, None)], *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature])
mathieu_cem(m, q, x, out=None)
Even Mathieu function and its derivative
Returns the even Mathieu function, ``ce_m(x, q)``, of order `m` and
parameter `q` evaluated at `x` (given in degrees). Also returns the
derivative with respect to `x` of ce_m(x, q)
Parameters
----------
m : array_like
Order of the function
q : array_like
Parameter of the function
x : array_like
Argument of the function, *given in degrees, not radians*
out : tuple of ndarray, optional
Optional output arrays for the function results
Returns
-------
y : scalar or ndarray
Value of the function
yp : scalar or ndarray
Value of the derivative vs x
See Also
--------
mathieu_a, mathieu_b, mathieu_sem
Notes
-----
The even Mathieu functions are the solutions to Mathieu's differential equation
.. math::
\frac{d^2y}{dx^2} + (a_m - 2q \cos(2x))y = 0
for which the characteristic number :math:`a_m` (calculated with `mathieu_a`)
results in an odd, periodic solution :math:`y(x)` with period 180 degrees
(for even :math:`m`) or 360 degrees (for odd :math:`m`).
References
----------
.. [1] 'Mathieu function'. *Wikipedia*.
https://en.wikipedia.org/wiki/Mathieu_function
Examples
--------
Plot even Mathieu functions of orders ``2`` and ``4``.
>>> import numpy as np
>>> from scipy import special
>>> import matplotlib.pyplot as plt
>>> m = np.asarray([2, 4])
>>> q = 50
>>> x = np.linspace(-180, 180, 300)[:, np.newaxis]
>>> y, _ = special.mathieu_cem(m, q, x)
>>> plt.plot(x, y)
>>> plt.xlabel('x (degrees)')
>>> plt.ylabel('y')
>>> plt.legend(('m = 2', 'm = 4'))
Because the orders ``2`` and
``4`` are even, the period of each function is 180 degrees.
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