// @(#)root/hist:$Name: $:$Id: TMultiDimFit.h,v 1.5 2003/01/16 18:07:52 brun Exp $ // Author: Christian Holm Christensen 07/11/2000 #ifndef ROOT_TMultiDimFit #define ROOT_TMultiDimFit #ifndef ROOT_TNamed #include "TNamed.h" #endif #ifndef ROOT_TVectorD #include "TVectorD.h" #endif #ifndef ROOT_TMatrixD #include "TMatrixD.h" #endif #ifndef ROOT_TList #include "TList.h" #endif #ifndef ROOT_TVirtualFitter #include "TVirtualFitter.h" #endif class TBrowser; class TMultiDimFit : public TNamed { public: enum EMDFPolyType { kMonomials, kChebyshev, kLegendre }; private: static TMultiDimFit* fgInstance; // Static instance protected: TVectorD fQuantity; // Training sample, dependent quantity TVectorD fSqError; // Training sample, error in quantity Double_t fMeanQuantity; // Mean of dependent quantity Double_t fMaxQuantity; // Max value of dependent quantity Double_t fMinQuantity; // Min value of dependent quantity Double_t fSumSqQuantity; // SumSquare of dependent quantity Double_t fSumSqAvgQuantity; // Sum of squares away from mean TVectorD fVariables; // Training sample, independent variables Int_t fNVariables; // Number of independent variables TVectorD fMeanVariables; // mean value of independent variables TVectorD fMaxVariables; // max value of independent variables TVectorD fMinVariables; // min value of independent variables Int_t fSampleSize; // Size of training sample TVectorD fTestQuantity; // Test sample, dependent quantity TVectorD fTestSqError; // Test sample, Error in quantity TVectorD fTestVariables; // Test sample, independent variables Int_t fTestSampleSize; // Size of test sample Double_t fMinAngle; // Min angle for acepting new function Double_t fMaxAngle; // Max angle for acepting new function Int_t fMaxTerms; // Max terms expected in final expr. Double_t fMinRelativeError; // Min relative error accepted Int_t *fMaxPowers; // [fNVariables] maximum powers Double_t fPowerLimit; // Control parameter TMatrixD fFunctions; // Functions evaluated over sample Int_t fMaxFunctions; // max number of functions Int_t *fFunctionCodes; // [fMaxFunctions] acceptance code Int_t fMaxStudy; // max functions to study TMatrixD fOrthFunctions; // As above, but orthogonalised TVectorD fOrthFunctionNorms; // Norm of the evaluated functions Int_t *fMaxPowersFinal; // [fNVariables] maximum powers from fit; Int_t *fPowers; // [fMaxFunctions*fNVariables] Int_t *fPowerIndex; // [fMaxTerms] Index of accepted powers TVectorD fResiduals; // Vector of the final residuals Double_t fMaxResidual; // Max redsidual value Double_t fMinResidual; // Min redsidual value Int_t fMaxResidualRow; // Row giving max residual Int_t fMinResidualRow; // Row giving min residual Double_t fSumSqResidual; // Sum of Square residuals Int_t fNCoefficients; // Dimension of model coefficients TVectorD fOrthCoefficients; // The model coefficients TMatrixD fOrthCurvatureMatrix; // Model matrix TVectorD fCoefficients; // Vector of the final coefficients TVectorD fCoefficientsRMS; // Vector of RMS of coefficients Double_t fRMS; // Root mean square of fit Double_t fChi2; // Chi square of fit Int_t fParameterisationCode; // Exit code of parameterisation Double_t fError; // Error from parameterization Double_t fTestError; // Error from test Double_t fPrecision; // Relative precision of param Double_t fTestPrecision; // Relative precision of test Double_t fCorrelationCoeff; // Multi Correlation coefficient TMatrixD fCorrelationMatrix; // Correlation matrix Double_t fTestCorrelationCoeff; // Multi Correlation coefficient TList* fHistograms; // List of histograms Byte_t fHistogramMask; // Bit pattern of hisograms used TVirtualFitter* fFitter; //! Fit object (MINUIT) EMDFPolyType fPolyType; // Type of polynomials to use Bool_t fShowCorrelation; // print correlation matrix Bool_t fIsUserFunction; // Flag for user defined function Bool_t fIsVerbose; // virtual Double_t EvalFactor(Int_t p, Double_t x); virtual Double_t EvalControl(const Int_t *powers); virtual void MakeCoefficientErrors(); virtual void MakeCorrelation(); virtual Double_t MakeGramSchmidt(Int_t function); virtual void MakeCoefficients(); virtual void MakeCandidates(); virtual void MakeNormalized(); virtual void MakeParameterization(); virtual void MakeRealCode(const char *filename, const char *classname, Option_t *option=""); virtual Bool_t Select(const Int_t *iv); virtual Bool_t TestFunction(Double_t squareResidual, Double_t dResidur); public: TMultiDimFit(); TMultiDimFit(Int_t dimension, EMDFPolyType type=kMonomials, Option_t *option=""); virtual ~TMultiDimFit(); virtual void AddRow(const Double_t *x, Double_t D, Double_t E=0); virtual void AddTestRow(const Double_t *x, Double_t D, Double_t E=0); virtual void Browse(TBrowser* b); virtual void Clear(Option_t *option=""); // *MENU* virtual void Draw(Option_t * ="d") { } virtual Double_t Eval(const Double_t *x, const Double_t *coeff=0); virtual void FindParameterization(Option_t* option=""); // *MENU* virtual void Fit(Option_t *option=""); // *MENU* Double_t GetChi2() const { return fChi2; } const TMatrixD* GetCorrelationMatrix() const { return &fCorrelationMatrix; } const TVectorD* GetCoefficients() const { return &fCoefficients; } Double_t GetError() const { return fError; } Int_t* GetFunctionCodes() const { return fFunctionCodes; } const TMatrixD* GetFunctions() const { return &fFunctions; } virtual TList* GetHistograms() const { return fHistograms; } Double_t GetMaxAngle() const { return fMaxAngle; } Int_t GetMaxFunctions() const { return fMaxFunctions; } Int_t* GetMaxPowers() const { return fMaxPowers; } Double_t GetMaxQuantity() const { return fMaxQuantity; } Int_t GetMaxStudy() const { return fMaxStudy; } Int_t GetMaxTerms() const { return fMaxTerms; } const TVectorD* GetMaxVariables() const { return &fMaxVariables; } Double_t GetMeanQuantity() const { return fMeanQuantity; } const TVectorD* GetMeanVariables() const { return &fMeanVariables; } Double_t GetMinAngle() const { return fMinAngle; } Double_t GetMinQuantity() const { return fMinQuantity; } Double_t GetMinRelativeError() const { return fMinRelativeError; } const TVectorD* GetMinVariables() const { return &fMinVariables; } Int_t GetNVariables() const { return fNVariables; } Int_t GetNCoefficients() const { return fNCoefficients; } Int_t GetPolyType() const { return fPolyType; } Int_t* GetPowerIndex() const { return fPowerIndex; } Double_t GetPowerLimit() const { return fPowerLimit; } const Int_t* GetPowers() const { return fPowers; } Double_t GetPrecision() const { return fPrecision; } const TVectorD* GetQuantity() const { return &fQuantity; } Double_t GetResidualMax() const { return fMaxResidual; } Double_t GetResidualMin() const { return fMinResidual; } Int_t GetResidualMaxRow() const { return fMaxResidualRow; } Int_t GetResidualMinRow() const { return fMinResidualRow; } Double_t GetResidualSumSq() const { return fSumSqResidual; } Double_t GetRMS() const { return fRMS; } Int_t GetSampleSize() const { return fSampleSize; } const TVectorD* GetSqError() const { return &fSqError; } Double_t GetSumSqAvgQuantity() const { return fSumSqAvgQuantity; } Double_t GetSumSqQuantity() const { return fSumSqQuantity; } Double_t GetTestError() const { return fTestError; } Double_t GetTestPrecision() const { return fTestPrecision; } const TVectorD* GetTestQuantity() const { return &fTestQuantity; } Int_t GetTestSampleSize() const { return fTestSampleSize; } const TVectorD* GetTestSqError() const { return &fTestSqError; } const TVectorD* GetTestVariables() const { return &fTestVariables; } const TVectorD* GetVariables() const { return &fVariables; } static TMultiDimFit* Instance() { return fgInstance; } virtual Bool_t IsFolder() const { return kTRUE; } virtual Double_t MakeChi2(const Double_t* coeff=0); virtual void MakeCode(const char *functionName="MDF", Option_t *option=""); // *MENU* virtual void MakeHistograms(Option_t* option="A"); // *MENU* virtual void MakeMethod(const Char_t* className="MDF", Option_t* option=""); // *MENU* virtual void Print(Option_t *option="ps") const; // *MENU* void SetMaxAngle(Double_t angle=0); void SetMaxFunctions(Int_t n) { fMaxFunctions = n; } void SetMaxPowers(const Int_t *powers); void SetMaxStudy(Int_t n) { fMaxStudy = n; } void SetMaxTerms(Int_t terms) { fMaxTerms = terms; } void SetMinRelativeError(Double_t error); void SetMinAngle(Double_t angle=1); void SetPowerLimit(Double_t limit=1e-3); virtual void SetPowers(const Int_t *powers, Int_t terms); ClassDef(TMultiDimFit,1) // Multi dimensional fit class } ; #endif