如何利用C++进行高性能的机器学习算法开发？

#include <iostream>
#include <vector>

int main() {
    std::vector<int> data;
    
    // 向vector中添加数据
    data.push_back(1);
    data.push_back(2);
    data.push_back(3);
    
    // 遍历vector并输出数据
    for (int i = 0; i < data.size(); i++) {
        std::cout << data[i] << " ";
    }
    
    return 0;
}

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

int main() {
    std::vector<int> data = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
    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;
}

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

int main() {
    std::vector<int> data = {4, 2, 1, 3, 5};
    
    std::sort(data.begin(), data.end());
    
    for (int i = 0; i < data.size(); i++) {
        std::cout << data[i] << " ";
    }
    
    return 0;
}

#include <iostream>
#include <Eigen/Dense>

int main() {
    Eigen::MatrixXd A(2, 2);
    Eigen::MatrixXd B(2, 2);
    
    A << 1, 2, 3, 4;
    B << 5, 6, 7, 8;
    
    Eigen::MatrixXd C = A * B;
    
    std::cout << "Matrix C:" << std::endl;
    std::cout << C << std::endl;
    
    return 0;
}