dpnp.scipy.special.erfc

dpnp.scipy.special.erfc = <DPNPUnaryFunc 'erfc'>

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:

outdpnp.ndarray

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

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])