MATLAB Function Reference |

**Syntax**

Y = erf(X) Error function Y = erfc(X) Complementary error function Y = erfcx(X) Scaled complementary error function X = erfinv(Y) Inverse error function X = erfcinv(Y) Inverse complementary error function

**Definition**

The error function `erf(X)`

is twice the integral of the Gaussian distribution with 0 mean and variance of .

The complementary error function `erfc(X)`

is defined as

The scaled complementary error function `erfcx(X)`

is defined as

For large `X`

, `erfcx(X)`

is approximately

**Description**

```
Y = erf(X)
```

returns the value of the error function for each element of real array `X`

.

```
Y = erfc(X)
```

computes the value of the complementary error function.

```
Y = erfcx(X)
```

computes the value of the scaled complementary error function.

```
X = erfinv(Y)
```

returns the value of the inverse error function for each element of `Y`

. Elements of `Y`

must be in the interval `[-1 1]`

. The function `erfinv`

satisfies for and .

```
X = erfcinv(Y)
```

returns the value of the inverse of the complementary error function for each element of `Y`

. Elements of `Y`

must be in the interval `[0 2]`

. The function `erfcinv`

satisfies for and .

**Remarks**

The relationship between the complementary error function `erfc`

and the standard normal probability distribution returned by the Statistics Toolbox function `normcdf`

is

The relationship between the inverse complementary error function `erfcinv`

and the inverse standard normal probability distribution returned by the Statistics Toolbox function `norminv`

is

**Examples**

For `abs(Y)`

`>`

`1`

, `erfinv(Y)`

is `NaN`

.

**Algorithms**

For the error functions, the MATLAB code is a translation of a Fortran program by W. J. Cody, Argonne National Laboratory, NETLIB/SPECFUN, March 19, 1990. The main computation evaluates near-minimax rational approximations from [1].

For the inverse of the error function, rational approximations accurate to approximately six significant digits are used to generate an initial approximation, which is then improved to full accuracy by one step of Halley's method.

**References**

[1] Cody, W. J., "Rational Chebyshev Approximations for the Error Function,"
*Math. Comp*., pgs. 631-638, 1969

eps | error |