dpnp.scipy.special.erfcx¶

dpnp.scipy.special.erfcx = <DPNPUnaryFunc 'erfcx'>¶

Calculates the scaled complementary error function of a given input array.

It is defined as \(\exp(x^2) * \operatorname{erfc}(x)\).

For full documentation refer to scipy.special.erfcx.

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 scaled complementary error function at the given points x.

See also

dpnp.scipy.special.erf: Gauss error function.
dpnp.scipy.special.erfc: Complementary error function.
dpnp.scipy.special.erfinv: Inverse of the error function.
dpnp.scipy.special.erfcinv: Inverse of the complementary error function.

Examples

>>> import dpnp as np
>>> x = np.linspace(-3, 3, num=4)
>>> np.scipy.special.erfcx(x)
array([1.62059889e+04, 5.00898008e+00, 4.27583576e-01, 1.79001151e-01])