hep.aida.ref.function
Class GaussianCore2DNotNorm
java.lang.Object
hep.aida.ref.function.FunctionCore
hep.aida.ref.function.GaussianCore2DNotNorm
- public class GaussianCore2DNotNorm
- extends FunctionCore
Not normalised Gaussian 2D (G2) distribution in the form:
f = (amplitude)*exp(-(x-meanX)^2/(2*sigmaX^2))*exp(-(y-meanY)^2/(2*sigmaY^2)) has 5 parameters
- Source Code:
- GaussianCore2DNotNorm.java
Methods inherited from class hep.aida.ref.function.FunctionCore |
addCoreListener, dimension, getHandles, indexOfParameter, init, numberOfParameters, parameter, parameterNames, parameters, setParameter, setParameterNames, setParameters, setTitle, title |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
providesNormalization
protected boolean providesNormalization
r2
protected final double r2
GaussianCore2DNotNorm
public GaussianCore2DNotNorm(String str)
GaussianCore2DNotNorm
public GaussianCore2DNotNorm(String str,
double[] pVal)
functionValue
public double functionValue(double[] var)
- Specified by:
functionValue
in class FunctionCore
providesGradient
public boolean providesGradient()
- Specified by:
providesGradient
in class FunctionCore
gradient
public double[] gradient(double[] var)
- Specified by:
gradient
in class FunctionCore
providesParameterGradient
public boolean providesParameterGradient()
- Specified by:
providesParameterGradient
in class FunctionCore
parameterGradient
public double[] parameterGradient(double[] var)
- Specified by:
parameterGradient
in class FunctionCore
providesNormalization
public boolean providesNormalization()
- Specified by:
providesNormalization
in class FunctionCore
normalizationAmplitude
public double normalizationAmplitude(double[] xMin,
double[] xMax)
- Specified by:
normalizationAmplitude
in class FunctionCore
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