FittingFunctionLorentzianWithBackground Member List

This is the complete list of members for FittingFunctionLorentzianWithBackground, including all inherited members.

_cDataFittingFunction [protected]
_cDataFittedFittingFunction [protected]
_dFHWMFittingFunction [protected]
_dHWHMFittingFunction [protected]
_dQualityFactorFittingFunction [protected]
_dSearchLimitFittingFunction [protected]
_dSigmaFittingFunction [protected]
_dStandardDeviationFittingFunction [protected]
_iNbParametersFittingFunction [protected]
_lNbIterationsFittingFunction [protected]
_lNbMaxIterationFittingFunction [protected]
_mFunctionMapFittingFunction [protected]
_pParametersFittingFunction [protected]
_pParametersErrorsFittingFunction [protected]
_vExperimentalDataXFittingFunction [protected]
_vExperimentalDataYFittingFunction [protected]
_vInitialGuessFittingFunction [protected]
computeDerivateValue(double dX, double dPosition, double dWidth, double dHeight)FittingFunctionLorentzianWithBackground [virtual]
computeDeterminationCoefficient(gsl_vector *vExperimentalDataY, gsl_vector *vFittedDataY)FittingFunction
computeMean(gsl_vector *vVector)FittingFunction
computeObservedFStatistic(gsl_vector *vExperimentalDataY, gsl_vector *vFittedDataY)FittingFunction
computeResidual(gsl_vector *vVectorExp, gsl_vector *vVectorPred)FittingFunction
computeStandardDeviation()FittingFunction
computeValue(double dX, double dPosition, double dWidth, double dHeight, double dBackground)FittingFunctionLorentzianWithBackground [virtual]
computeVariance(gsl_vector *vVector)FittingFunction
doFit(long points, gsl_vector *x, gsl_vector *y, gsl_vector *sigma, gsl_vector *guess, bool bEstimateGuess, int iSearchStoppingMethod=1, bool bUseScaled=true)FittingFunctionLorentzianWithBackground [virtual]
estimateInitialBackground(gsl_vector *vExperimentalDataX, gsl_vector *vExperimentalDataY)FittingFunctionLorentzianWithBackground
estimateInitialGuess(gsl_vector *vExperimentalDataX, gsl_vector *vExperimentalDataY)FittingFunctionLorentzianWithBackground [virtual]
estimateInitialHeight(gsl_vector *vExperimentalDataX, gsl_vector *vExperimentalDataY)FittingFunctionLorentzianWithBackground
estimateInitialPosition(gsl_vector *vExperimentalDataX, gsl_vector *vExperimentalDataY)FittingFunctionLorentzianWithBackground
estimateInitialSigma(gsl_vector *vExperimentalDataX, gsl_vector *vExperimentalDataY)FittingFunctionLorentzianWithBackground
FittingFunction()FittingFunction
FittingFunctionLorentzianWithBackground()FittingFunctionLorentzianWithBackground
FittingFunctionLorentzianWithBackground(long lNbIteration, double dLimitSearch)FittingFunctionLorentzianWithBackground
Function(const gsl_vector *peak_params, void *calc_data, gsl_vector *func)FittingFunctionLorentzianWithBackground [static]
FunctionAndDerivate(const gsl_vector *peak_params, void *calc_data, gsl_vector *func, gsl_matrix *Jacobian)FittingFunctionLorentzianWithBackground [static]
FunctionDerivate(const gsl_vector *peak_params, void *calc_data, gsl_matrix *Jacobian)FittingFunctionLorentzianWithBackground [static]
generateFunctionFit(double dValMinX, double dResolutionX, long lNbPoints, gsl_vector *funcX, gsl_vector *funcY)FittingFunctionLorentzianWithBackground [virtual]
generateFunctionFit(long lNbPoints, gsl_vector *x, gsl_vector *funcX, gsl_vector *funcY)FittingFunctionLorentzianWithBackground [virtual]
getAllParameters() const FittingFunction
getAllParametersErrors() const FittingFunction
getEquation() const FittingFunctionLorentzianWithBackground [virtual]
getFHWM() const FittingFunction [inline]
getFunction() const FittingFunctionLorentzianWithBackground [virtual]
getFunctionAndDerivate() const FittingFunctionLorentzianWithBackground [virtual]
getFunctionDerivate() const FittingFunctionLorentzianWithBackground [virtual]
getHWHM() const FittingFunction [inline]
getIndexValue(double dWantedValue, gsl_vector *vVector)FittingFunction
getInitialGuess(int iParameterIndex)FittingFunction [inline]
getNbIterations() const FittingFunction [inline]
getNbMaxIteration() const FittingFunction [inline]
getNbParameters() const FittingFunction [inline]
getNumberOfParameters() const FittingFunction [inline]
getParameter(std::string sParameterName) const FittingFunction
getParameter(int iIndiceParameter) const FittingFunction
getParameterError(std::string sParameterName) const FittingFunction
getParameterError(int iIndiceParameter) const FittingFunction
getQualityFactor() const FittingFunction [inline]
getSearchLimit() const FittingFunction [inline]
getSigma() const FittingFunction [inline]
getStandardDeviation()FittingFunction
initializeInitialsParameters(gsl_vector *vExperimentalDataX, gsl_vector *vExperimentalDataY, gsl_vector *vInitialGuess, bool bEstimate)FittingFunctionLorentzianWithBackground [virtual]
printResults()FittingFunctionLorentzianWithBackground
printState(size_t iter, gsl_multifit_fdfsolver *s)FittingFunctionLorentzianWithBackground
setNbMaxIteration(long lNbMaxIterationValue)FittingFunction [inline]
setNumberOfParameters(int iNbParameters)FittingFunction [inline]
setSearchLimit(double dSearchValue)FittingFunction [inline]
~FittingFunction()FittingFunction [virtual]
~FittingFunctionLorentzianWithBackground()FittingFunctionLorentzianWithBackground [virtual]


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