eigen库的优缺点_简单介绍一种你在家中使用过的工具

全栈程序员-站长 • 2022年10月19日上午8:46 • 未分类 • 阅读 0

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#include "mainwindow.h"

#include <QApplication>

#include "eigen3/Eigen/Core"
#include "eigen3/Eigen/Dense"
#include <cmath>
#include <iostream>

int main(int argc, char *argv[])
{ 
   
    QApplication a(argc, argv);

    float value = 4.0;
    float angle = 90.0;
    float radian = 3.141593;
    //平方根
    std::cout <<"sqrt:"<< std::sqrt(value) << std::endl;
    //反余弦--算出来弧度
    std::cout <<"acos -1:"<< std::acos(-1) << std::endl;
    //角度求正弦
    std::cout <<"sin angle:"<< std::sin(angle/180.0*acos(-1)) << std::endl;
    //弧度求正弦
    std::cout <<"sin radian:"<< std::sin(radian/2.0) << std::endl;

    //定义一个vector
    Eigen::Vector3f v1(1.0f,0.0f,0.0f);
    std::cout <<"Vector3f:" << v1 << std::endl;
    Eigen::Vector3f v2(0.0f,1.0f,0.0f);
    //点乘
    std::cout <<"Vector3f dot:" << v1.dot(v2) << std::endl;
    std::cout <<"Vector3f dot:" << v2.dot(v1) << std::endl;
    //叉乘
    std::cout <<"Vector3f cross:" << v1.cross(v2) << std::endl;
    std::cout <<"Vector3f cross:" << v2.cross(v1) << std::endl;
    Eigen::Vector3f v3(5.0f,0.0f,0.0f);
    std::cout <<"Vector3f normalized:" << v3.normalized() << std::endl;


    //定义一个matrix
    Eigen::Matrix3f m = Eigen::Matrix3f::Identity();//生成一个单位矩阵
    std::cout <<"Matrix3f Identity:"<< m << std::endl;
    m << 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0;
    std::cout <<"Matrix3f:"<< m << std::endl;
    //获取矩阵的第二行第二列
    std::cout <<"Matrix3f(2,2):"<< m(1,1) << std::endl;
    //矩阵转置
    std::cout <<"Matrix3f transpose:"<< m.transpose() << std::endl;
    //矩阵共轭
    std::cout <<"Matrix3f conjugate:"<< m.conjugate() << std::endl;
    //矩阵共轭转置
    std::cout <<"Matrix3f adjoint:"<< m.adjoint() << std::endl;

    return a.exec();
}