1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <iostream> 2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/Dense> 3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathusing namespace Eigen; 5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathint main() 7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Matrix4d m; 9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m.resize(4,4); // no operation 10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath std::cout << "The matrix m is of size " 11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath << m.rows() << "x" << m.cols() << std::endl; 12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 13