Use this tag for the error and complementary error functions (erf and erfc). These are special functions formed by taking definite integrals of the Gaussian/normal distribution function.
Use this tag for the error and complementary error functions (erf and erfc). These are special functions formed by taking definite integrals of the Gaussian/normal distribution function.
The error function is an entire function defined as $$\operatorname{erf}(z)\equiv\frac2{\sqrt\pi}\int_0^ze^{-t^2}\,dt.$$ Further details are given here.
The complementary error function is defined as $\operatorname{erfc}(z)=1-\operatorname{erf}(z)$. Further details are given here.