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jax.numpy.cosh¶
-
jax.numpy.
cosh
(x)¶ Hyperbolic cosine, element-wise.
LAX-backend implementation of
cosh()
. Original docstring below.cosh(x, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj])
Equivalent to
1/2 * (np.exp(x) + np.exp(-x))
andnp.cos(1j*x)
.- Parameters
x (array_like) – Input array.
- Returns
out – Output array of same shape as x. This is a scalar if x is a scalar.
- Return type
ndarray or scalar
Examples
>>> np.cosh(0) 1.0
The hyperbolic cosine describes the shape of a hanging cable:
>>> import matplotlib.pyplot as plt >>> x = np.linspace(-4, 4, 1000) >>> plt.plot(x, np.cosh(x)) >>> plt.show()