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@ -98,7 +98,6 @@ endif()
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if(GCTL_FOUND AND GCTL_OPTIMIZATION_FOUND)
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add_example(optimization lcg_solver_ex ON OFF ON OFF)
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add_example(optimization geoblas_lcg_solver_ex ON OFF ON OFF)
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add_example(optimization lgd_solver_ex ON OFF ON OFF)
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add_example(optimization ex3 ON OFF ON OFF)
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add_example(optimization ex4 ON OFF ON OFF)
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@ -1,114 +0,0 @@
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/********************************************************
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* ██████╗ ██████╗████████╗██╗
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* ██╔════╝ ██╔════╝╚══██╔══╝██║
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* ██║ ███╗██║ ██║ ██║
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* ██║ ██║██║ ██║ ██║
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* ╚██████╔╝╚██████╗ ██║ ███████╗
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* ╚═════╝ ╚═════╝ ╚═╝ ╚══════╝
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* Geophysical Computational Tools & Library (GCTL)
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*
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* Copyright (c) 2022 Yi Zhang (yizhang-geo@zju.edu.cn)
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*
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* GCTL is distributed under a dual licensing scheme. You can redistribute
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* it and/or modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation, either version 2
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* of the License, or (at your option) any later version. You should have
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* received a copy of the GNU Lesser General Public License along with this
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* program. If not, see <http://www.gnu.org/licenses/>.
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*
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* If the terms and conditions of the LGPL v.2. would prevent you from using
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* the GCTL, please consider the option to obtain a commercial license for a
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* fee. These licenses are offered by the GCTL's original author. As a rule,
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* licenses are provided "as-is", unlimited in time for a one time fee. Please
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* send corresponding requests to: yizhang-geo@zju.edu.cn. Please do not forget
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* to include some description of your company and the realm of its activities.
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* Also add information on how to contact you by electronic and paper mail.
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******************************************************/
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#include "gctl/core/array_algorithm.h"
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#include "gctl/core/matrix_algorithm.h"
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#include "gctl/optimization/lcg_geoblas.h"
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#define M 1000
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#define N 800
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double max_diff(const gctl::array<double> &a, const gctl::array<double> &b)
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{
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double max = -1.0;
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for (size_t i = 0; i < a.size(); i++)
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{
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max = std::max(sqrt((a[i] - b[i])*(a[i] - b[i])), max);
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}
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return max;
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}
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class ex1 : public gctl::geoblas_lcg_solver
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{
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public:
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ex1();
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virtual ~ex1();
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// 计算共轭梯度的B项
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void cal_partb(const geoblas_vec_t dx, geoblas_vec_t dB);
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//定义共轭梯度中Ax的算法
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virtual void LCG_Ax(const geoblas_vec_t x, geoblas_vec_t ax);
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private:
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geoblas_mat_t d_kernel; // 普通二维数组做核矩阵
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geoblas_vec_t d_tmp; // 中间结果数组
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gctl::matrix<double> h_kernel;
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};
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ex1::ex1()
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{
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h_kernel.resize(M, N);
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random_float(h_kernel, -1.0, 1.0, gctl::RdUniform);
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d_kernel = geoblas_mat_new(M, N);
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d_tmp = geoblas_vec_new(M);
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geoblas_put_mat_data(d_kernel, h_kernel.get());
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}
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ex1::~ex1()
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{
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geoblas_mat_free(d_kernel);
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geoblas_vec_free(d_tmp);
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}
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void ex1::cal_partb(const geoblas_vec_t dx, geoblas_vec_t dB)
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{
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LCG_Ax(dx, dB);
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return;
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}
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void ex1::LCG_Ax(const geoblas_vec_t x, geoblas_vec_t ax)
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{
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geoblas_gemv('N', M, N, 1.0, d_kernel, x, 0.0, d_tmp);
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geoblas_gemv('T', M, N, 1.0, d_kernel, d_tmp, 0.0, ax);
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return;
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}
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int main(int argc, char const *argv[])
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{
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ex1 test;
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gctl::array<double> m(N, 0.0);
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gctl::array<double> fm(N);
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random_float(fm, 1.0, 2.0, gctl::RdUniform);
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geoblas_vec_t dfm = geoblas_vec_new(N);
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geoblas_vec_t dm = geoblas_vec_new(N);
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geoblas_vec_t dB = geoblas_vec_new(N);
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geoblas_put_vec_data(dfm, fm.get());
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geoblas_put_vec_data(dm, m.get());
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test.cal_partb(dfm, dB);
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test.lcg(dm, dB);
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geoblas_get_vec_data(dm, m.get());
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std::cout << "max-diff = " << max_diff(fm , m) << "\n";
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return 0;
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}
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