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# Error Fn Inv

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Evaluates the inverse of the error function.
Controller: CodeCogs

C++

## ErrorFn Inv

 doubleerrorFn_inv( double y )[inline]
The inverse error function is defined as the function  which satisfies:

\left\{ \begin{array}{rcll} \mathrm{erf}\left(\mathrm{erf}^{-1}(x)\right) &=& x, &\qquad \forall x \in (-1,1)\\ \mathrm{erf}^{-1}\left(\mathrm{erf}(x)\right) &=& x, &\qquad \forall x \in \mathbb{R} \end{array}

where  is the error function. Some special values are:



The graph of this function is shown below.
There is an error with your graph parameters for errorFn_inv with options y=-0.99:0.99

Error Message:Function errorFn_inv failed. Ensure that: Invalid C++

The following property also holds:



where  is the inverse of the complementary error function. Based on this last formula, you may notice how the output of the example code below is linked to the example output in the errorFnC_inv module.

## References:

Mathworld, http://mathworld.wolfram.com/InverseErf.html

### Example 1

#include <codecogs/maths/special/errorfn_inv.h>
#include <stdio.h>

int main(  )
{
// display the value of the function at important points
printf("x = -1    y = %.15lf\n",   Maths::Special::errorFn_inv(-1.0));
printf("x = 0     y = %.15lf\n",   Maths::Special::errorFn_inv( 0.0));
printf("x = 1     y = %.15lf\n\n", Maths::Special::errorFn_inv( 1.0));

// display several values of the function
// at equally spaced abscissas with a step of 0.1
for (double x = 0.1; x < 0.99; x += 0.1)
printf("x = %.1lf   y = %.15lf\n",
x, Maths::Special::errorFn_inv(x));

return 0;
}

### Output

x = -1    y = -1.#INF00000000000
x = 0     y = 0.000000000000000
x = 1     y = 1.#INF00000000000

x = 0.1   y = 0.088855990494258
x = 0.2   y = 0.179143454621292
x = 0.3   y = 0.272462714726755
x = 0.4   y = 0.370807158593558
x = 0.5   y = 0.476936276204470
x = 0.6   y = 0.595116081449995
x = 0.7   y = 0.732869077959217
x = 0.8   y = 0.906193802436823
x = 0.9   y = 1.163087153676674

### Parameters

 y the value at which to evaluate the function ()

### Returns

The inverse of the error function.

### Authors

Lucian Bentea (September 2006)
##### Source Code

Source code is available when you agree to a GP Licence or buy a Commercial Licence.

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