dpnp.arccosh

dpnp.arccosh(x, out=None, where=True, order='K', dtype=None, subok=True, **kwargs)

Computes inverse hyperbolic cosine for each element x_i for input array x.

For full documentation refer to numpy.arccosh.

Parameters:

  • x ({dpnp.ndarray, usm_ndarray}) -- Input array, expected to have numeric data type.

  • out ({None, dpnp.ndarray}, optional) -- Output array to populate. Array must have the correct shape and the expected data type.

  • order ({"C", "F", "A", "K"}, optional) -- Memory layout of the newly output array, if parameter out is None. Default: "K".

Returns:

out -- An array containing the element-wise inverse hyperbolic cosine, in radians and in the half-closed interval [0, inf). The data type of the returned array is determined by the Type Promotion Rules.

Return type:

dpnp.ndarray

Limitations

Parameters where and subok are supported with their default values. Keyword argument kwargs is currently unsupported. Otherwise NotImplementedError exception will be raised.

See also

dpnp.cosh

Hyperbolic cosine, element-wise.

dpnp.arctanh

Hyperbolic inverse tangent, element-wise.

dpnp.arcsinh

Hyperbolic inverse sine, element-wise.

dpnp.arccos

Trigonometric inverse cosine, element-wise.

Examples

>>> import dpnp as np
>>> x = np.array([1.0, np.e, 10.0])
>>> np.arccosh(x)
array([0.0, 1.65745445, 2.99322285])