1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <iostream> 2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/Dense> 3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathusing namespace std; 5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathint main() 6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Eigen::MatrixXf mat(2,4); 8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Eigen::VectorXf v(2); 9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath mat << 1, 2, 6, 9, 11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 3, 1, 7, 2; 12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v << 0, 14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 1; 15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath //add v to each column of m 17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath mat.colwise() += v; 18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath std::cout << "Broadcasting result: " << std::endl; 20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath std::cout << mat << std::endl; 21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 22