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  1. Error function - Wikipedia

    The error and complementary error functions occur, for example, in solutions of the heat equation when boundary conditions are given by the Heaviside step function. The error function and its …

  2. Erf -- from Wolfram MathWorld

    erf (z) is the "error function" encountered in integrating the normal distribution (which is a normalized form of the Gaussian function). It is an entire function defined by erf (z)=2/ (sqrt (pi))int_0^ze^ (-t^2)dt.

  3. The Error Function Erf (x) and Normal Distribution - Math for Engineers

    The relationship between the error function Erf (x) and the cumulative probability of normeal distribution is presented.

  4. Error Function Calculator - high precision erf(x) and erfc(x)

    ERF calculator and ERFC calculator, with inverse function support. Calculate the Gauss error function, the inverse and complementary error function of any real-valued number with high precision.

  5. Error Function (erf) — Definition, Formula & Examples

    The error function, written erf (x), measures the probability that a normally distributed random variable falls within a certain range of the mean. It equals the area under the bell curve from −x to x, scaled …

  6. Error Function - an overview | ScienceDirect Topics

    Error Function - an overview | ScienceDirect Topics

  7. GraphicMaths - The erf function

    Aug 16, 2025 · The error function, written as erf (x), was introduced as a special function that solves the integral. It also turns out that the error function can also be used to solve other, general integrals that …

  8. The error function and the complementary error function are important special functions which appear in the solutions of di usion problems in heat, mass and momentum transfer, probability theory, the …

  9. 4.1: Error Function - Physics LibreTexts

    This page introduces the error function (erf) and the Gaussian function, highlighting their properties such as the maximum value at x = 0 and the total area under the curve being 1.

  10. This entry provides the definitions and basic properties of the com-plex and real error function erf and the complementary error function erfc. Additionally, it gives their full asymptotic expansions.