| #include <iostream> |
| #include <Eigen/SVD> |
| |
| float inv_cond(const Eigen::Ref<const Eigen::MatrixXf>& a) { |
| const Eigen::VectorXf sing_vals = a.jacobiSvd().singularValues(); |
| return sing_vals(sing_vals.size() - 1) / sing_vals(0); |
| } |
| |
| int main() { |
| Eigen::MatrixXf m = Eigen::MatrixXf::Random(4, 4); |
| std::cout << "matrix m:\n" << m << "\n\n"; |
| std::cout << "inv_cond(m): " << inv_cond(m) << "\n"; |
| std::cout << "inv_cond(m(1:3,1:3)): " << inv_cond(m.topLeftCorner(3, 3)) << "\n"; |
| std::cout << "inv_cond(m+I): " << inv_cond(m + Eigen::MatrixXf::Identity(4, 4)) << "\n"; |
| } |