dpnp.scipy.special.erfc

dpnp.scipy.special.erfc(x, /, out=None)

Calculates the complementary error function of a given input array.

It is defined as \(1 - \operatorname{erf}(x)\).

For full documentation refer to scipy.special.erfc.

Parameters:

• x ({dpnp.ndarray, usm_ndarray}) -- Input array, expected to have a real-valued floating-point data type.

• out ({None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional) --

  Optional output array for the function values. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

  Default: None.

Returns:

out -- The values of the complementary error function at the given points x.

Return type:

dpnp.ndarray

See also

dpnp.scipy.special.erf

Gauss error function.

dpnp.scipy.special.erfinv

Inverse of the error function.

dpnp.scipy.special.erfcinv

Inverse of the complementary error function.

dpnp.scipy.special.erfcx

Scaled complementary error function.

dpnp.scipy.special.erfi

Imaginary error function.

Examples

>>> import dpnp as np
>>> x = np.linspace(-3, 3, num=5)
>>> np.scipy.special.erfc(x)
array([[-0.99997791, -0.96610515,  0.        ,  0.96610515,  0.99997791])