- nlcpy.arccosh = <ufunc 'nlcpy_arccosh'>
Computes the element-wise inverse hyperbolic cosine.
Input an array or a scalar.
- outndarray or 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 array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
- wherearray_like, optional
This condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default
out=None, locations within it where the condition is False will remain uninitialized.
For other keyword-only arguments, see the section Optional Keyword Arguments.
The inverse hyperbolic cosine values for each element of x. If x is a scalar, this function returns the result as a 0-dimension ndarray.
arccosh()is a multivalued function: for each x there are the infinitely many numbers z such that cosh(z) = x. The convention is to return z whose imaginary part lies in [-pi, pi] and the real part in [-0, inf].
For real-valued input data types,
arccosh()always returns real output. For each value that cannot be expressed as a real number or infinity, it returns nan and sets the invalid floating point error flag.
For complex-valued input,
arccosh()is a complex analytical function that has a branch cut [-inf, 1] and is continuous from above on it.
>>> import nlcpy as vp >>> vp.arccosh([vp.e, 10.0]) array([1.65745445, 2.99322285]) >>> vp.arccosh(1) array(0.)