| _cData | FittingFunction | [protected] |
| _cDataFitted | FittingFunction | [protected] |
| _dFHWM | FittingFunction | [protected] |
| _dHWHM | FittingFunction | [protected] |
| _dQualityFactor | FittingFunction | [protected] |
| _dSearchLimit | FittingFunction | [protected] |
| _dSigma | FittingFunction | [protected] |
| _dStandardDeviation | FittingFunction | [protected] |
| _iNbParameters | FittingFunction | [protected] |
| _lNbIterations | FittingFunction | [protected] |
| _lNbMaxIteration | FittingFunction | [protected] |
| _mFunctionMap | FittingFunction | [protected] |
| _pParameters | FittingFunction | [protected] |
| _pParametersErrors | FittingFunction | [protected] |
| _vExperimentalDataX | FittingFunction | [protected] |
| _vExperimentalDataY | FittingFunction | [protected] |
| _vInitialGuess | FittingFunction | [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] |