PLearn 0.1
Classes | Namespaces | Defines | Functions
pl_erf.h File Reference
#include <plearn/base/general.h>
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Classes

class  PLearn::PLGaussQuantileInitializer

Namespaces

namespace  PLearn
 

< for swap


Defines

#define GAUSSQUANTILETABLESIZE   10000

Functions

real PLearn::pl_gammln (real z)
 function gamma returns log(Gamma(z)), where $ Gamma(z) = \int_0^infty t^{z-1}*e^{-t} dt $
real PLearn::pl_dgammlndz (real z)
 d(pl_gammln(z))/dz derivate of pl_gammln(z) = digamma function = d(log(gamma(z))/dz
real PLearn::pl_gser (real a, real x)
 returns the series value of the incomplete gamma function
real PLearn::pl_gcf (real a, real x)
 returns the continued fraction representation of the incomplete gamma function
real PLearn::pl_gammq (real a, real x)
 returns the incomplete gamma function Q(a,x) = 1 - P(a,x) it either uses the series or the continued fraction formula
real PLearn::pl_erf (real x)
 The error function.
real PLearn::gauss_01_cum (real x)
 For X ~ Normal(0,1), cumulative probability function P(X<x)
real PLearn::normal_cdf (real x)
real PLearn::gauss_cum (real x, real mu, real sigma)
real PLearn::gauss_01_quantile (real q)
real PLearn::gauss_01_density (real x)
 for X ~ Normal(0,1), return density of X at x
real PLearn::gauss_01_log_density (real x)
real PLearn::gauss_log_density_var (real x, real mu, real var)
real PLearn::gauss_log_density_stddev (real x, real mu, real sigma)
real PLearn::gauss_density_var (real x, real mu, real var)
real PLearn::gauss_density_stddev (real x, real mu, real sigma)
real PLearn::p_value (real mu, real vn)
real PLearn::fast_gauss_01_quantile (real x)
 Use precomputed value in a table of size GAUSSQUANTILETABLESIZE.

Detailed Description

Definition in file pl_erf.h.


Define Documentation

#define GAUSSQUANTILETABLESIZE   10000
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