本文整理汇总了C++中eigen::Matrix3f::partialPivLu方法的典型用法代码示例。如果您正苦于以下问题：C++ Matrix3f::partialPivLu方法的具体用法？C++ Matrix3f::partialPivLu怎么用？C++ Matrix3f::partialPivLu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类eigen::Matrix3f的用法示例。
在下文中一共展示了Matrix3f::partialPivLu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: main
int main(int argc, char** argv) {
ros::init(argc, argv, "eigen_test");
ros::NodeHandle nh_jntPub; // node handle for joint command publisher
// ros::Publisher pub_joint_commands; //
// pub_joint_commands = nh_jntPub.advertise<atlas_msgs::AtlasCommand>("/atlas/atlas_command", 1, true);
ROS_INFO("test eigen program");
Eigen::Matrix3f A;
Eigen::Vector3f b;
A << 1,2,3, 4,5,6, 7,8,10;
A(1,2)=0; // how to access one element of matrix; start from 0; no warning out of range...
b << 3,3,4;
std::cout <<"b = "<<b <<std::endl;
// column operaton: replace first column of A with vector b:
A.col(0)= b; // could copy columns of matrices w/ A.col(0) = B.col(0);
std::cout <<"A = "<<A <<std::endl;
Eigen::MatrixXd mat1 = Eigen::MatrixXd::Zero(6, 6); //6x6 matrix full of zeros
Eigen::MatrixXd mat2 = Eigen::MatrixXd::Identity(6, 6); //6x6 identity matrix
std::cout<<mat1<<std::endl;
std::cout<<mat2<<std::endl;
Eigen::Vector3f xtest = A.colPivHouseholderQr().solve(b);
std::cout<<"soln xtest = "<<xtest<<std::endl;
Eigen::Vector3f x = A.partialPivLu().solve(b); //dec.solve(b); //A.colPivHouseholderQr().solve(b);
std::cout<<"soln x = "<<x<<std::endl;
Eigen::Vector3f btest = A*x;
std::cout<<"test soln: A*x = " <<btest<<std::endl;
//extend to 6x6 test: v = M*z, find z using 2 methods
// use double-precision matrices/vectors
Eigen::MatrixXd M = Eigen::MatrixXd::Random(6,6);
std::cout<<"test 6x6: M = "<<M<<std::endl;
Eigen::VectorXd v(6);
v << 1,2,3,4,5,6;
std::cout<<"v = "<<v<<std::endl;
Eigen::VectorXd z(6);
Eigen::VectorXd ztest(6);
ztest = M.colPivHouseholderQr().solve(v);
std::cout<<"soln ztest = "<<ztest<<std::endl;
z = M.partialPivLu().solve(v);
std::cout<<"soln 6x6: z = "<<z<<std::endl;
Eigen::VectorXd vtest(6);
vtest = M*z;
std::cout<<"test soln: M*z = "<<vtest<<std::endl;
// .norm() operator...
double relative_error = (M*z - v).norm() / v.norm(); // norm() is L2 norm
std::cout << "The relative error is:\n" << relative_error << std::endl;
std::cout<<"dot prod, v, z: "<< v.dot(z)<<std::endl;
std::cout<<"cross prod, b-cross-x: " << b.cross(x)<<std::endl;
return 0;
}