| AbsUnfoldND(const ResponseMatrix &responseMatrix) (defined in npstat::AbsUnfoldND) | npstat::AbsUnfoldND | explicit |
| Base typedef (defined in npstat::SmoothedEMUnfoldND) | npstat::SmoothedEMUnfoldND | |
| buildUniformInitialApproximation(const ArrayND< double > &observed, ArrayND< double > *result) const (defined in npstat::AbsUnfoldND) | npstat::AbsUnfoldND | protected |
| clearInitialApproximation() | npstat::AbsUnfoldND | virtual |
| convergenceEpsilon() const | npstat::SmoothedEMUnfoldND | inline |
| efficiency() const (defined in npstat::AbsUnfoldND) | npstat::AbsUnfoldND | inline |
| filter_type typedef (defined in npstat::AbsUnfoldND) | npstat::AbsUnfoldND | |
| getFilter(bool throwIfNull=false) const | npstat::AbsUnfoldND | virtual |
| getInitialApproximation() const | npstat::AbsUnfoldND | virtual |
| getObservedShape() const | npstat::AbsUnfoldND | inline |
| getUnfoldedShape() const | npstat::AbsUnfoldND | inline |
| input_covariance_type typedef (defined in npstat::AbsUnfoldND) | npstat::AbsUnfoldND | |
| lastEPIterations() const | npstat::SmoothedEMUnfoldND | inline |
| lastNIterations() const | npstat::SmoothedEMUnfoldND | inline |
| lastSmoothingNormfactor() const | npstat::SmoothedEMUnfoldND | inline |
| maxIterations() const (defined in npstat::SmoothedEMUnfoldND) | npstat::SmoothedEMUnfoldND | inline |
| output_covariance_type typedef (defined in npstat::AbsUnfoldND) | npstat::AbsUnfoldND | |
| probDelta(const ArrayND< double > &prev, const ArrayND< double > &next) | npstat::AbsUnfoldND | static |
| response_matrix_type typedef (defined in npstat::AbsUnfoldND) | npstat::AbsUnfoldND | |
| responseMatrix() const (defined in npstat::AbsUnfoldND) | npstat::AbsUnfoldND | inline |
| setConvergenceEpsilon(double eps) | npstat::SmoothedEMUnfoldND | |
| setFilter(const AbsUnfoldingFilterND *f) | npstat::AbsUnfoldND | virtual |
| setInitialApproximation(const ArrayND< double > &approx) | npstat::AbsUnfoldND | virtual |
| setMaxIterations(const unsigned u) | npstat::SmoothedEMUnfoldND | inline |
| SmoothedEMUnfoldND(const ResponseMatrix &responseMatrix, const AbsUnfoldingFilterND &filter, bool useConvolutions, bool useMultinomialCovariance=false, bool smoothLastIter=true, double convergenceEpsilon=1.0e-10, unsigned maxIterations=100000U) | npstat::SmoothedEMUnfoldND | |
| smoothingLastIteration() const (defined in npstat::SmoothedEMUnfoldND) | npstat::SmoothedEMUnfoldND | inline |
| smoothLastIteration(const bool b) | npstat::SmoothedEMUnfoldND | inline |
| unfold(const ArrayND< double > &observed, const Matrix< double > *observationCovarianceMatrix, ArrayND< double > *unfolded, Matrix< double > *unfoldedCovarianceMatrix) | npstat::SmoothedEMUnfoldND | virtual |
| update(const ArrayND< double > &observed, const ArrayND< double > *prev, ArrayND< double > *next, bool performSmoothing) const | npstat::SmoothedEMUnfoldND | protected |
| useConvolutions(const bool b) | npstat::AbsUnfoldND | inlinevirtual |
| useMultinomialCovariance(const bool b) | npstat::SmoothedEMUnfoldND | inline |
| usingConvolutions() const | npstat::AbsUnfoldND | inline |
| usingMultinomialCovariance() const (defined in npstat::SmoothedEMUnfoldND) | npstat::SmoothedEMUnfoldND | inline |
| validateObservedShape(const ArrayND< double > &observed) const (defined in npstat::AbsUnfoldND) | npstat::AbsUnfoldND | |
| validateObservedShape(const ArrayShape &observedShape) const (defined in npstat::AbsUnfoldND) | npstat::AbsUnfoldND | |
| validateUnfoldedShape(const ArrayND< double > &unfolded) const | npstat::AbsUnfoldND | |
| validateUnfoldedShape(const ArrayShape &unfoldedShape) const (defined in npstat::AbsUnfoldND) | npstat::AbsUnfoldND | |
| ~AbsUnfoldND() (defined in npstat::AbsUnfoldND) | npstat::AbsUnfoldND | inlinevirtual |
| ~SmoothedEMUnfoldND() (defined in npstat::SmoothedEMUnfoldND) | npstat::SmoothedEMUnfoldND | inlinevirtual |
1.9.1