tango.math.random.NormalSource
License:
BSD style:
Version:
Initial release: July 2008
author:
Fawzi Mohamed
- class NormalSource(RandG, T);
- class that returns gaussian (normal) distributed numbers (f=exp(-0.5*x*x)/sqrt(2*pi))
- real probDensityF(real x);
- probability distribution (non normalized, should be divided by sqrt(2*PI))
- real invProbDensityF(real x);
- inverse probability distribution
- real cumProbDensityFCompl(real x);
- complement of the cumulative density distribution (integral x..infinity probDensityF)
- T tailGenerator(RandG r, T dMin, int iNegative);
- tail for normal distribution
- SourceT source;
- internal source of normal numbers
- this(RandG r);
- initializes the probability distribution
- NormalSource opCall(U, S...)(ref U a, S args);
- chainable call style initialization of variables (thorugh a call to randomize)
- T getRandom();
- returns a normal distribued number
- T getRandom(T sigma);
- returns a normal distribued number with the given sigma (standard deviation)
- T getRandom(T sigma, T mu);
- returns a normal distribued number with the given sigma (standard deviation) and mu (average)
- U randomize(U)(ref U a);
- initializes a variable with normal distribued number and returns it
- U randomize(U, V)(ref U a, V sigma);
- initializes a variable with normal distribued number with the given sigma and returns it
- U randomize(U, V, S)(ref U el, V sigma, S mu);
- initializes a variable with normal distribued numbers with the given sigma and mu and returns it
- U randomizeOp(U, S)(scope S delegate(T) op, ref U a);
- initializes the variable with the result of mapping op on the random numbers (of type T)
- struct NormalDistribution;
- normal distribution with different default sigma and mu
f=exp(-x*x/(2*sigma^2))/(sqrt(2 pi)*sigma)
- NormalDistribution create(NormalSource source, T sigma, T mu);
- constructor
- NormalDistribution opCall(U, S...)(ref U a, S args);
- chainable call style initialization of variables (thorugh a call to randomize)
- T getRandom();
- returns a single number
- U randomize(U)(ref U a);
- initialize a
- U randomize(U, V)(ref U a, V s);
- initialize a (let s and m have different types??)
- U randomize(U, V, S)(ref U a, V s, S m);
- initialize a (let s and m have different types??)
- NormalDistribution normalD(T sigma = cast(T)1, T mu = cast(T)0);
- returns a normal distribution with a non-default sigma/mu
Page generated by Ddoc. Copyright (c) 2008. Fawzi Mohamed