Hyperbolic cosine, element-wise.
Equivalent to 1/2 * (mt.exp(x) + mt.exp(-x)) and mt.cos(1j*x).
1/2 * (mt.exp(x) + mt.exp(-x))
x (array_like) – Input tensor.
out (Tensor, None, or tuple of Tensor and None, optional) – A location into which the result is stored. If provided, it must have
a shape that the inputs broadcast to. If not provided or None,
a freshly-allocated tensor is returned. A tuple (possible only as a
keyword argument) must have length equal to the number of outputs.
where (array_like, optional) – Values of True indicate to calculate the ufunc at that position, values
of False indicate to leave the value in the output alone.
out – Output array of same shape as x.
>>> import mars.tensor as mt
The hyperbolic cosine describes the shape of a hanging cable:
>>> import matplotlib.pyplot as plt
>>> x = mt.linspace(-4, 4, 1000)
>>> plt.plot(x.execute(), mt.cosh(x).execute())