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C++ Generator::get_size方法代码示例

本文整理汇总了C++中Generator::get_size方法的典型用法代码示例。如果您正苦于以下问题:C++ Generator::get_size方法的具体用法?C++ Generator::get_size怎么用?C++ Generator::get_size使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在Generator的用法示例。


在下文中一共展示了Generator::get_size方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C++代码示例。

示例1: local_search_simple_expm

void local_search_simple_expm(
		const SummedCdf& desired,
		Generator& gen_optimal,
		int maxiters,
		double tol)
{
	const double TOLERANCE = 1e-3;

	// Create random devices...
	std::random_device rd;
	std::mt19937 gen{rd()};
	std::normal_distribution<> normal{0, 1};
	std::uniform_real_distribution<> unif{0, 1};

	// Create generators...
	Generator gen_current{gen_optimal.get_size()};

	SummedCdf cdf_optimal {desired.bounds()};
	SummedCdf cdf_current {desired.bounds()};

	GslContext context{gen_optimal.get_size()};

	set_cdf(gen_optimal, cdf_optimal, context);


	MarkovChain test_chain{gen_optimal.get_size()};

	int improvement_count = 0;
	double current_distance = 1.0;
	double radius = 2;


	auto ms = std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::system_clock::now().time_since_epoch()).count();

	while (radius >= tol)
	{
		std::cout << "radius = " << radius << std::endl;

		int count_since_improved = 0;
		while (count_since_improved++ < maxiters)
		{
			gen_current.randomize([&normal, &gen]() { return normal(gen); });
			gen_current.set_radius_from(gen_optimal, radius);
			set_cdf(gen_current, cdf_current, context);

			double diff = cdf_current.compare(desired);
			if (diff >= current_distance)
			{
				continue;
			}

			std::cout << count_since_improved << " failed searches." << std::endl;

			current_distance = diff;
			gen_optimal = gen_current;
			count_since_improved = 0;

			improvement_count++;

			char name_buffer[256];
			char file_buffer[256];

			sprintf(name_buffer, "improvement_%d", improvement_count);
			sprintf(file_buffer, "output/improvement_%ld_%d.m", ms, improvement_count);

			std::ofstream outfile;
			outfile.open(file_buffer);
			{
				outfile << std::scientific << std::setprecision(std::numeric_limits<double>::digits10 + 1);

				outfile << "x = [";
				for (int i = 0; i < desired.bounds().N; i++)
					outfile << desired.bounds().unmap(i) << " ";
				outfile << "];\n";

				outfile << "y_current_" << improvement_count << " = [";
				for (int i = 0; i < desired.bounds().N; i++)
					outfile << cdf_current.get(i) << " ";
				outfile << "];\n";

				outfile << "y_desired_" << improvement_count << " = [";
				for (int i = 0; i < desired.bounds().N; i++)
					outfile << desired.get(i) << " ";
				outfile << "];\n";

				outfile << "plot(x, y_current_" << improvement_count << ", x, y_desired_" << improvement_count << ");\n";
				outfile << "saveas(gcf, '" << ms << "_" << improvement_count << ".png');\n";
			}


			outfile.close();
		}

		radius /= 2;
	}
}
开发者ID:tlhallock,项目名称:markov-fit,代码行数:96,代码来源:local_search.cpp


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