gctl_optimization/lib/optimization/cmn_grad.h

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 * Geophysical Computational Tools & Library (GCTL)
 *
 * Copyright (c) 2023  Yi Zhang (yizhang-geo@zju.edu.cn)
 *
 * GCTL is distributed under a dual licensing scheme. 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 2 
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 * received a copy of the GNU Lesser General Public License along with this 
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 * If the terms and conditions of the LGPL v.2. would prevent you from using 
 * the GCTL, please consider the option to obtain a commercial license for a 
 * fee. These licenses are offered by the GCTL's original author. As a rule, 
 * licenses are provided "as-is", unlimited in time for a one time fee. Please 
 * send corresponding requests to: yizhang-geo@zju.edu.cn. Please do not forget 
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#ifndef _GCTL_COMMON_GRADIENT_H
#define _GCTL_COMMON_GRADIENT_H

#include "lcg.h"

namespace gctl
{
    class common_gradient : public lcg_solver
    {
    public:
        common_gradient(); ///< 构造函数

        /**
         * @brief Construct a new common_gradient object
         * 
         * @param Ln Number of loss functions
         * @param Mn Number of model parameters
         */
        common_gradient(size_t Ln, size_t Mn);

        virtual ~common_gradient(); ///< 析构函数

        virtual void LCG_Ax(const array<double> &x, array<double> &ax); ///< 计算Ax

        /**
         * @brief Configure the solver's setups
         * 
         * @param para LCG solver parameters
         */
        void set_solver(const lcg_para &para);

        /**
         * @brief Set the weights for the loss functions
         */
        void set_weights(const _1d_array &w);

        /**
         * @brief Initialize the common_gradient object
         * 
         * @param Ln Number of loss functions
         * @param Mn Number of model parameters
         */
        void init(size_t Ln, size_t Mn);

        /**
         * @brief Fill the model gradient
         *
         * @param id Loss function index
         * @param g Model gradient
         */
        void fill_model_gradient(size_t id, const _1d_array &g);

        /**
         * @brief Get the conflict free gradient
         * 
         * @param normalized Normalize the output gradient
         * @return Calculated model gradient
         */
        const _1d_array &get_common_gradient(bool normalized = true);

    private:
        size_t Ln_, Mn_; // Ln_: loss_func number，Mn_: model number
        _2d_matrix G_;
        _1d_array B_, g_, t_, x_;
        _1d_array gm_, w_;
        array<bool> filled_;
    };
};

#endif // _GCTL_COMMON_GRADIENT_H