hep.aida.ref.pdf
Class Gaussian

java.lang.Object
  hep.aida.ref.pdf.Variable
      hep.aida.ref.pdf.Function
          hep.aida.ref.pdf.Gaussian

All Implemented Interfaces:

FunctionDispatcher, HasName, HasUnits, HasValue, hep.aida.IFunction, hep.aida.IModelFunction, VariableListener

public class Gaussian

extends Function

Author:

The FreeHEP team @ SLAC.

Source Code:

Gaussian.java

Field Summary

Fields inherited from class hep.aida.ref.pdf.Variable

DEPENDENT, FUNCTION, PARAMETER

Constructor Summary

Gaussian(String name)

Gaussian(String name, Dependent x)

Gaussian(String name, Dependent x, Parameter mean, Parameter sigma)

Method Summary

double	evaluateAnalyticalNormalization(Dependent dep)
double	evaluateAnalyticalVariableGradient(Variable var) To be overwritten by classes extending Function.
double	functionMaxValue() This method is used to generate toy Mc data sets.
double	functionValue()
boolean	hasAnalyticalNormalization(Dependent dep) To be overwritten if Function provides analytical normalization.
boolean	hasAnalyticalVariableGradient(Variable var) To be overwritten by classes extending Function.
void	variableChanged(Variable var) This method is invoked when a variable in the function has changed its value.

Methods inherited from class hep.aida.ref.pdf.Function

addFunctionListener, addVariable, addVariables, annotation, codeletString, dimension, excludeNormalizationAll, functionValue, getDependent, getDependent, getNormalizationParameter, getParameter, getParameter, gradient, gradient, hasDependent, hasParameter, hasVariable, includeNormalizationAll, indexOfParameter, isComposite, isEqual, isNormalized, maxValue, normalizationParameter, normalizationRange, normalizationRangeChanged, normalize, notifyFunctionChanged, numberOfDependents, numberOfParameters, parameter, parameterGradient, parameterGradient, parameterNames, parameters, providesGradient, providesGradientWithRespectToVariable, providesNormalization, providesParameterGradient, removeFunctionListener, setCodeletString, setNormalizationParamter, setParameter, setParameters, setTitle, setValue, setVariableValue, title, updateNormalization, value, value, variableChangedName, variableChangedRange, variableChangedUnits, variableChangedValue, variableChangingName, variableChangingUnits, variableChangingValue, variableName, variableNames

Methods inherited from class hep.aida.ref.pdf.Variable

addVariableListener, name, removeVariableListener, setName, setUnits, type, units

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Gaussian

public Gaussian(String name)

Gaussian

public Gaussian(String name,
                Dependent x)

Gaussian

public Gaussian(String name,
                Dependent x,
                Parameter mean,
                Parameter sigma)

Method Detail

variableChanged

public void variableChanged(Variable var)

Description copied from class: Function

This method is invoked when a variable in the function has changed its value.

Overrides:

variableChanged in class Function

functionMaxValue

public double functionMaxValue()

Description copied from class: Function

This method is used to generate toy Mc data sets. It should be overwritten by functions whose maximum value can be provided. If it is not overwriten the maximum value will be evaluated with a mc set of data points.

Overrides:

functionMaxValue in class Function

functionValue

public double functionValue()

Overrides:

functionValue in class Function

evaluateAnalyticalVariableGradient

public double evaluateAnalyticalVariableGradient(Variable var)

Description copied from class: Function

To be overwritten by classes extending Function. This method is used internally by this class to evaluate the derivative with respect to a given Variable.

Overrides:

evaluateAnalyticalVariableGradient in class Function

hasAnalyticalVariableGradient

public boolean hasAnalyticalVariableGradient(Variable var)

Description copied from class: Function

To be overwritten by classes extending Function. This method is used internally by this class to determine if a function has can provide an analytical gradient with respect to a given Variable.

Overrides:

hasAnalyticalVariableGradient in class Function

hasAnalyticalNormalization

public boolean hasAnalyticalNormalization(Dependent dep)

Description copied from class: Function

To be overwritten if Function provides analytical normalization.

Overrides:

hasAnalyticalNormalization in class Function

evaluateAnalyticalNormalization

public double evaluateAnalyticalNormalization(Dependent dep)

Overrides:

evaluateAnalyticalNormalization in class Function