C++ ビッグ データ開発におけるデータ統計の問題にどう対処するか?

#include <iostream>
#include <vector>
#include <algorithm>
#include <numeric>

int main() {
    std::vector<int> data = {1, 2, 3, 4, 5};
    
    int sum = std::accumulate(data.begin(), data.end(), 0); // 计算总和
    double average = static_cast<double>(sum) / data.size(); // 计算平均值
    int max = *std::max_element(data.begin(), data.end()); // 计算最大值
    
    std::cout << "Sum: " << sum << std::endl;
    std::cout << "Average: " << average << std::endl;
    std::cout << "Max: " << max << std::endl;
    
    return 0;
}

#include <iostream>
#include <vector>
#include <boost/math/statistics/linear_regression.hpp>

int main() {
    std::vector<double> x = {1.0, 2.0, 3.0, 4.0, 5.0};
    std::vector<double> y = {2.0, 4.0, 6.0, 8.0, 10.0};
    
    boost::math::statistics::linear_regression<double> reg;
    reg.add(x.begin(), x.end(), y.begin(), y.end());
    
    double slope = reg.slope();
    double intercept = reg.intercept();
    
    std::cout << "Slope: " << slope << std::endl;
    std::cout << "Intercept: " << intercept << std::endl;
    
    return 0;
}

#include <iostream>
#include <vector>
#include <omp.h>

int main() {
    std::vector<int> data = {1, 2, 3, 4, 5};
    
    int sum = 0;
    
    #pragma omp parallel for reduction(+:sum)
    for (int i = 0; i < data.size(); ++i) {
        sum += data[i];
    }
    
    std::cout << "Sum: " << sum << std::endl;
    
    return 0;
}