tmp update

This commit is contained in:
张壹 2024-10-17 13:20:02 +08:00
parent 892c460b44
commit ba43d30e06
4 changed files with 112 additions and 1 deletions

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@ -18,3 +18,4 @@ add_example(ex5 ON)
add_example(ex6 ON)
add_example(ex7 ON)
add_example(ex8 ON)
add_example(ex9 ON)

75
example/ex9.cpp Normal file
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@ -0,0 +1,75 @@
/********************************************************
*
*
*
*
*
*
* Generic Scientific Template Library
*
* Copyright (c) 2022 Yi Zhang (yizhang-geo@zju.edu.cn)
*
* The GSTL 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 (LGPL) along with
* this program. If not, see <http://www.gnu.org/licenses/>.
*
* If the terms and conditions of the LGPL v.2. would prevent you from using
* the GSTL, please consider the option to obtain a commercial license for a
* fee. These licenses are offered by the GSTL'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.
******************************************************/
#include "../lib/optimization.h"
using namespace gctl;
class ex9 : public lgd_solver
{
private:
/* data */
public:
ex9(){}
virtual ~ex9(){}
virtual double LGD_Evaluate(const array<double> &x, array<double> &g){return 0.0;}
};
int main(int argc, char const *argv[])
{
ex9 e;
lgd_para p = e.default_lgd_para();
p.beta = 1.2;
e.set_lgd_para(p);
array<double> dist;
e.get_levy_distribution(dist, 125);
double m = dist.mean();
double s = dist.std();
int c = 0;
for (size_t i = 0; i < dist.size(); i++)
{
if (dist[i] > m + 3*s) c++;
}
std::cout << "mean = " << dist.mean() << "\n";
std::cout << "std = " << dist.std() << "\n";
std::cout << "rms = " << dist.rms() << "\n";
std::cout << "max = " << dist.max() << "\n";
std::cout << "min = " << dist.min() << "\n";
std::cout << "ratio = " << 5000.0*c/dist.size() << "\n";
for (size_t i = 0; i < dist.size(); i++)
{
std::clog << dist[i] << "\n";
}
return 0;
}

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@ -154,6 +154,31 @@ void gctl::lgd_solver::save_lgd_trace(std::string trace_file)
return;
}
gctl::lgd_return_code gctl::lgd_solver::get_levy_distribution(array<double> &dist, unsigned int seed)
{
if (lgd_param_.flight_times <= 0) return LGD_INVALID_MAX_ITERATIONS;
if (lgd_param_.beta <= 1.0 || lgd_param_.beta >= 2.0) return LGD_INVALID_BETA;
double gamma1 = tgamma(lgd_param_.beta + 1.0);
double gamma2 = tgamma(0.5*(lgd_param_.beta + 1.0));
double stddev_u = pow((gamma1*sin(0.5*GCTL_Pi*lgd_param_.beta))/
(gamma2*lgd_param_.beta*pow(2, 0.5*(lgd_param_.beta-1.0))), 1.0/lgd_param_.beta);
if (seed == 0) seed = std::chrono::system_clock::now().time_since_epoch().count();
std::default_random_engine generator(seed);
std::normal_distribution<double> dist_u(0, stddev_u);
std::normal_distribution<double> dist_v(0, lgd_param_.stddev_v);
std::uniform_real_distribution<double> dist_s(1.0, 2.0);
dist.resize(lgd_param_.flight_times);
for (int i = 0; i <= lgd_param_.flight_times; i++)
{
dist[i] = fabs(dist_u(generator)/pow(fabs(dist_v(generator)), 1.0/lgd_param_.beta));
}
return LGD_REACHED_MAX_ITERATIONS;
}
void gctl::lgd_solver::lgd_error_str(lgd_return_code err_code, std::ostream &ss, bool err_throw)
{
#if defined _WINDOWS || __WIN32__

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@ -172,6 +172,16 @@ namespace gctl
// saved if the recording threshold is set.
void save_lgd_trace(std::string trace_file);
/**
* @brief levy分布采样一组数据set_lgd_para函数设置
*
* @param dist levy分布
* @param seed
*
* @return
*/
lgd_return_code get_levy_distribution(array<double> &dist, unsigned int seed = 0);
lgd_para default_lgd_para();
void set_lgd_para(const lgd_para &param);