InversionGaussNewtonDataSpace.h

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// The MIT License (MIT)
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// Copyright (c) 2021 Yoshiya Usui
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#ifndef DBLDEF_INVERSION_GN_DATA_SPACE
#define DBLDEF_INVERSION_GN_DATA_SPACE
 
#include "Inversion.h"
#include "RougheningMatrix.h"
 
// Class of inversion using Gauss-Newton method (data space)
class InversionGaussNewtonDataSpace : public Inversion {
 
public:
    // Constructer
    explicit InversionGaussNewtonDataSpace();
 
    // Constructer
    explicit InversionGaussNewtonDataSpace( const int nModel, const int nData );
 
    // Destructer
    virtual ~InversionGaussNewtonDataSpace();
 
    // Perform inversion
    virtual void inversionCalculation();
 
    // Perform inversion by the new method
    void inversionCalculationByNewMethod() const;
 
    // Perform inversion by the new method using inverse of [R]T[R] matrix
    void inversionCalculationByNewMethodUsingInvRTRMatrix() const;
 
    // Read sensitivity matrix
    void readSensitivityMatrix( const std::string& fileName, int& numData, int& numModel, double*& sensitivityMatrix ) const;
 
private:
    // Copy constructer
    InversionGaussNewtonDataSpace( const InversionGaussNewtonDataSpace& rhs ){
        std::cerr << "Error : Copy constructer of the class InversionGaussNewtonDataSpace is not implemented." << std::endl;
        exit(1);
    }
 
    // Copy assignment operator
    InversionGaussNewtonDataSpace& operator=( const InversionGaussNewtonDataSpace& rhs ){
        std::cerr << "Error : Assignment operator of the class InversionGaussNewtonDataSpace is not implemented." << std::endl;
        exit(1);
    }
 
    // Calculate constraining matrix for difference filter
    void calcConstrainingMatrixForDifferenceFilter( DoubleSparseMatrix& constrainingMatrix ) const;
 
};
 
#endif