/********************************************************
* ██████╗ ██████╗████████╗██╗
* ██╔════╝ ██╔════╝╚══██╔══╝██║
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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
* of the License, or (at your option) any later version. You should have
* received a copy of the GNU Lesser General Public License along with this
* program. If not, see .
*
* 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
* to include some description of your company and the realm of its activities.
* Also add information on how to contact you by electronic and paper mail.
******************************************************/
#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 &x, array &ax); ///< 计算Ax
/**
* @brief Configure the solver's setups
*
* @param para LCG solver parameters
*/
void set_solver(const lcg_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 filled_;
};
};
#endif // _GCTL_COMMON_GRADIENT_H