ExpSource

class that returns exponential distributed numbers (f=exp(-x) for x>0, 0 otherwise)

final

class ExpSource (

RandG

T

) {

static real probDensityF(real x);

static real invProbDensityF(real x);

static real cumProbDensityFCompl(real x);

static T tailGenerator(RandG r, T dMin);

alias SourceT = Ziggurat!(RandG, T, probDensityF, tailGenerator, false);

SourceT source;

ExpSource opCall(U a, S args);

T getRandom();

T getRandom(T beta);

U randomize(U x);

U randomize(U x, V beta);

U randomizeOp(S delegate(T) op, U a);

struct ExpDistribution;

ExpDistribution expD(T beta);

}

Constructors

this this(RandG r): initializes the probability distribution

Members

Aliases

SourceT alias SourceT = Ziggurat!(RandG, T, probDensityF, tailGenerator, false): Undocumented in source.

Functions

expD ExpDistribution expD(T beta): returns an exp distribution with a different beta
getRandom T getRandom(): returns a exp distribued number
getRandom T getRandom(T beta): returns a exp distribued number with the given beta (survival rate, average) f=1/beta*exp(-x/beta)
opCall ExpSource opCall(U a, S args): chainable call style initialization of variables (thorugh a call to randomize)
randomize U randomize(U x): initializes the given variable with an exponentially distribued number
randomize U randomize(U x, V beta): initializes the given variable with an exponentially distribued number with scale parameter beta
randomizeOp U randomizeOp(S delegate(T) op, U a): initializes the given variable with an exponentially distribued number and maps op on it

Static functions

cumProbDensityFCompl real cumProbDensityFCompl(real x): complement of the cumulative density distribution (integral x..infinity probDensityF)
invProbDensityF real invProbDensityF(real x): inverse probability distribution
probDensityF real probDensityF(real x): probability distribution
tailGenerator T tailGenerator(RandG r, T dMin): tail for exponential distribution

Structs

ExpDistribution struct ExpDistribution: exp distribution with different default scale parameter beta f=1/beta*exp(-x/beta) for x>0, 0 otherwise

Variables

source SourceT source;: internal source of exp distribued numbers

Meta

Source

See Implementation

ocean math random ExpSource classes

ExpSource