public static class CauchyDistribution.CDF extends CauchyDistribution implements SmoothCumulativeDistributionFunction
CauchyDistribution.CDF, CauchyDistribution.PDF
DEFAULT_LOCATION, DEFAULT_SCALE, location, scale
Constructor and Description |
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CDF()
Creates a new instance of CauchyDistribution
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CDF(CauchyDistribution other)
Copy constructor
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CDF(double location,
double scale)
Creates a new instance of CauchyDistribution
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Modifier and Type | Method and Description |
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java.lang.Double |
differentiate(java.lang.Double input)
Differentiates the output with respect to the input
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double |
evaluate(double input)
Produces a double output for the given double input
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java.lang.Double |
evaluate(java.lang.Double input)
Evaluates the function on the given input and returns the output.
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double |
evaluateAsDouble(java.lang.Double input)
Evaluates the scalar function as a double.
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CauchyDistribution.CDF |
getCDF()
Gets the CDF of a scalar distribution.
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CauchyDistribution.PDF |
getDerivative()
Gets the closed-form derivative of the function.
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clone, convertFromVector, convertToVector, getLocation, getMaxSupport, getMean, getMeanAsDouble, getMinSupport, getProbabilityFunction, getScale, getVariance, sampleAsDouble, sampleInto, setLocation, setScale
sampleAsDoubles, sampleInto
sample, sample
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
getMean, getProbabilityFunction, sampleAsDouble, sampleAsDoubles, sampleInto
getMaxSupport, getMeanAsDouble, getMinSupport, getVariance
sample, sample, sampleInto
clone, convertFromVector, convertToVector
public CDF()
public CDF(double location, double scale)
location
- Central location (also the median and mode) of the distribution.scale
- Scale of the distribution, must be greater than zero.public CDF(CauchyDistribution other)
other
- CauchyDistribution to copy.public java.lang.Double evaluate(java.lang.Double input)
Evaluator
evaluate
in interface Evaluator<java.lang.Double,java.lang.Double>
evaluate
in interface ScalarFunction<java.lang.Double>
evaluate
in interface UnivariateScalarFunction
input
- The input to evaluate.public double evaluateAsDouble(java.lang.Double input)
ScalarFunction
evaluateAsDouble
in interface ScalarFunction<java.lang.Double>
evaluateAsDouble
in interface UnivariateScalarFunction
input
- The input value.public double evaluate(double input)
UnivariateScalarFunction
evaluate
in interface UnivariateScalarFunction
input
- Input to the Evaluatorpublic CauchyDistribution.CDF getCDF()
UnivariateDistribution
getCDF
in interface ClosedFormUnivariateDistribution<java.lang.Double>
getCDF
in interface SmoothUnivariateDistribution
getCDF
in interface UnivariateDistribution<java.lang.Double>
getCDF
in class CauchyDistribution
public CauchyDistribution.PDF getDerivative()
ClosedFormDifferentiableEvaluator
getDerivative
in interface ClosedFormDifferentiableEvaluator<java.lang.Double,java.lang.Double,java.lang.Double>
getDerivative
in interface SmoothCumulativeDistributionFunction
public java.lang.Double differentiate(java.lang.Double input)
DifferentiableEvaluator
differentiate
in interface DifferentiableEvaluator<java.lang.Double,java.lang.Double,java.lang.Double>
input
- Input about which to compute the derivative