double |
BernoulliStochasticLaw.f(double x) |
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double |
CauchyStochasticLaw.f(double x) |
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double |
ConstantStochasticLaw.f(double x) |
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double |
ExponentialStochasticLaw.f(double x) |
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double |
GaussianStochasticLaw.f(double x) |
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double |
LinearStochasticLaw.f(double x) |
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double |
LogisticStochasticLaw.f(double x) |
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double |
LogNormalStochasticLaw.f(double x) |
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double |
MathFunction.f(double x) |
Replies the value of the function.
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double |
ParetoStochasticLaw.f(double x) |
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double |
TriangularStochasticLaw.f(double x) |
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double |
UniformStochasticLaw.f(double x) |
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static double |
StochasticGenerator.generateRandomValue(StochasticLaw law) |
Generate a stochastic value according to the given law.
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double |
StochasticLaw.generateRandomValue() |
Replies a random value that respect
the current stochastic law.
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double |
BernoulliStochasticLaw.inverseF(double u) |
Replies the x according to the value of the distribution function.
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double |
CauchyStochasticLaw.inverseF(double u) |
Replies the x according to the value of the distribution function.
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double |
ConstantStochasticLaw.inverseF(double u) |
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double |
ExponentialStochasticLaw.inverseF(double u) |
Replies the x according to the value of the distribution function.
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double |
GaussianStochasticLaw.inverseF(double u) |
Replies the x according to the value of the distribution function.
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protected double |
GaussianStochasticLaw.inverseF(Random rnd) |
Replies the x according to the value of the inverted
cummulative distribution function F<sup>-1</sup>(u)
where u = U(0, 1) .
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double |
LinearStochasticLaw.inverseF(double u) |
Replies the x according to the value of the distribution function.
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double |
LogisticStochasticLaw.inverseF(double u) |
Replies the x according to the value of the distribution function.
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double |
LogNormalStochasticLaw.inverseF(double u) |
Replies the x according to the value of the distribution function.
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protected double |
LogNormalStochasticLaw.inverseF(Random u) |
Replies the x according to the value of the inverted
cummulative distribution function F<sup>-1</sup>(u)
where u = U(0, 1) .
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double |
MathInversableFunction.inverseF(double y) |
Replies the value of the inverse function.
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double |
ParetoStochasticLaw.inverseF(double u) |
Replies the x according to the value of the distribution function.
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abstract double |
StochasticLaw.inverseF(double u) |
Replies the x according to the value of the inverted
cummulative distribution function F<sup>-1</sup>(u)
where u = U(0, 1) .
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protected double |
StochasticLaw.inverseF(Random u) |
Replies the x according to the value of the inverted
cummulative distribution function F<sup>-1</sup>(u)
where u = U(0, 1) .
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double |
TriangularStochasticLaw.inverseF(double u) |
Replies the x according to the value of the distribution function.
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double |
UniformStochasticLaw.inverseF(double u) |
Replies the x according to the value of the distribution function.
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static double |
StochasticGenerator.noiseValue(double value,
MathFunction noiseLaw) |
Add a noise to the specified value.
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static double |
BernoulliStochasticLaw.random(double p) |
Replies a random value that respect
the current stochastic law.
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static double |
CauchyStochasticLaw.random(double k,
double xmin) |
Replies a random value that respect
the current stochastic law.
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static double |
ExponentialStochasticLaw.random(double lambda,
double xmin) |
Replies a random value that respect
the current stochastic law.
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static double |
GaussianStochasticLaw.random(double mean,
double standardDeviation) |
Replies a random value that respect
the current stochastic law.
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static double |
LinearStochasticLaw.random(double minX,
double maxX) |
Replies a random value that respect
the current stochastic law.
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static double |
LinearStochasticLaw.random(double minX,
double maxX,
boolean ascendent) |
Replies a random value that respect
the current stochastic law.
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static double |
LogisticStochasticLaw.random(double mu,
double scale) |
Replies a random value that respect
the current stochastic law.
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static double |
LogNormalStochasticLaw.random(double mean,
double standardDeviation) |
Replies a random value that respect
the current stochastic law.
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static double |
ParetoStochasticLaw.random(double k,
double xmin) |
Replies a random value that respect
the current stochastic law.
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static double |
TriangularStochasticLaw.random(double minX,
double mode,
double maxX) |
Replies a random value that respect
the current stochastic law.
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static double |
UniformStochasticLaw.random(double minX,
double maxX) |
Replies a random value that respect
the current stochastic law.
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