femtic/src/InversionGaussNewtonDataSpace.h

//-------------------------------------------------------------------------------------------------------
// 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