public final class Erf extends Object
Modifier and Type | Method and Description |
---|---|
static double |
erf(double x)
Returns the error function.
|
static double |
erf(double x1,
double x2)
Returns the difference between erf(x1) and erf(x2).
|
static double |
erfc(double x)
Returns the complementary error function.
|
static double |
erfcInv(double x)
Returns the inverse erfc.
|
static double |
erfInv(double x)
Returns the inverse erf.
|
public static double erf(double x)
erf(x) = 2/√π 0∫x e-t2dt
This implementation computes erf(x) using the regularized gamma function
, following Erf, equation (3)
The value returned is always between -1 and 1 (inclusive). If abs(x) > 40
, then erf(x)
is
indistinguishable from either 1 or -1 as a double, so the appropriate extreme value is returned.
x
- the value.MaxCountExceededException
- if the algorithm fails to converge.Gamma.regularizedGammaP(double, double, double, int)
public static double erfInv(double x)
This implementation is described in the paper: Approximating the erfinv function by Mike Giles, Oxford-Man Institute of Quantitative Finance, which was published in GPU Computing Gems, volume 2, 2010. The source code is available here.
x
- the valuepublic static double erfc(double x)
erfc(x) = 2/√π x∫∞ e-t2dt
= 1 - erf(x)
This implementation computes erfc(x) using the regularized gamma function
, following Erf, equation (3).
The value returned is always between 0 and 2 (inclusive). If abs(x) > 40
, then erf(x)
is
indistinguishable from either 0 or 2 as a double, so the appropriate extreme value is returned.
x
- the valueMaxCountExceededException
- if the algorithm fails to converge.Gamma.regularizedGammaQ(double, double, double, int)
public static double erf(double x1, double x2)
x1
- the first valuex2
- the second valuepublic static double erfcInv(double x)
x
- the valueCopyright © 2020 CNES. All rights reserved.