//------------------------------------------------------------------------------------------------------- // The MIT License (MIT) // // Copyright (c) 2021 Yoshiya Usui // // Permission is hereby granted, free of charge, to any person obtaining a copy // of this software and associated documentation files (the "Software"), to deal // in the Software without restriction, including without limitation the rights // to use, copy, modify, merge, publish, distribute, sublicense, and/or sell // copies of the Software, and to permit persons to whom the Software is // furnished to do so, subject to the following conditions: // // The above copyright notice and this permission notice shall be included in all // copies or substantial portions of the Software. // // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR // IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, // FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE // AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER // LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, // OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE // SOFTWARE. //------------------------------------------------------------------------------------------------------- #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