LRSensitivity.H

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/*---------------------------------------------------------------------------*\
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 * In real Time Highly Advanced Computational Applications for Finite Volumes
 * Copyright (C) 2017 by the ITHACA-FV authors
-------------------------------------------------------------------------------
 
  License
  This file is part of ITHACA-FV
 
  ITHACA-FV is free software: you can redistribute it and/or modify
  it under the terms of the GNU Lesser General Public License as published by
  the Free Software Foundation, either version 3 of the License, or
  (at your option) any later version.
 
  ITHACA-FV is distributed in the hope that it will be useful,
  but WITHOUT ANY WARRANTY; without even the implied warranty of
  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
  GNU Lesser General Public License for more details.
 
  You should have received a copy of the GNU Lesser General Public License
  along with ITHACA-FV. If not, see <http://www.gnu.org/licenses/>.
 
\*---------------------------------------------------------------------------*/
#ifndef LRSensitivity_H
#define LRSensitivity_H
#include <iostream>
#include <vector>
#include <string>
#include <Eigen/Eigen>
#include "FofM.H"
#include "ITHACAstream.H"
#include "ITHACAutilities.H"
#include "ITHACAsampling.H"
 
 
class LRSensitivity
{
    public:
        //Constructors
        LRSensitivity();
        explicit LRSensitivity(label Npara, label Np);
        ~LRSensitivity() {};
 
        //Members
        Eigen::MatrixXd trainingRange;
        Eigen::MatrixXd MatX;
        Eigen::MatrixXd MatXn;
        autoPtr<FofM> M;
        label No_parameters;
        label Npoints;
        Eigen::VectorXd y;
        Eigen::VectorXd yn;
        Eigen::VectorXd ylin;
        double Ey;
        double Vy;
        Eigen::VectorXd EX;
        Eigen::VectorXd VX;
        Eigen::VectorXd betas;
        double QI;
        bool Xdone = false;
        bool Ydone = false;
        bool bdone = false;
 
        //--------------------------------------------------------------------------------------------------------------------//
        //Methods
 
        void buildSamplingSet(std::vector<std::string>& pdflist, Eigen::MatrixXd plist);
 
        void load_output();
 
        void getXstats();
 
        void getYstat();
 
        void getBetas();
 
        void assessQuality();
 
 
 
 
 
    private:
 
        void setAll();
 
};
 
#endif