| #include <iostream> | |
| #include <Eigen/Dense> | |
| int main() { | |
| std::cout << "[init]\n"; | |
| Eigen::MatrixXd A(2, 2); | |
| A << 2, -1, 1, 3; | |
| std::cout << "Here is the input matrix A before decomposition:\n" << A << "\n"; | |
| std::cout << "[init]\n"; | |
| std::cout << "[declaration]\n"; | |
| Eigen::PartialPivLU<Eigen::Ref<Eigen::MatrixXd> > lu(A); | |
| std::cout << "Here is the input matrix A after decomposition:\n" << A << "\n"; | |
| std::cout << "[declaration]\n"; | |
| std::cout << "[matrixLU]\n"; | |
| std::cout << "Here is the matrix storing the L and U factors:\n" << lu.matrixLU() << "\n"; | |
| std::cout << "[matrixLU]\n"; | |
| std::cout << "[solve]\n"; | |
| Eigen::MatrixXd A0(2, 2); | |
| A0 << 2, -1, 1, 3; | |
| Eigen::VectorXd b(2); | |
| b << 1, 2; | |
| Eigen::VectorXd x = lu.solve(b); | |
| std::cout << "Residual: " << (A0 * x - b).norm() << "\n"; | |
| std::cout << "[solve]\n"; | |
| std::cout << "[modifyA]\n"; | |
| A << 3, 4, -2, 1; | |
| x = lu.solve(b); | |
| std::cout << "Residual: " << (A0 * x - b).norm() << "\n"; | |
| std::cout << "[modifyA]\n"; | |
| std::cout << "[recompute]\n"; | |
| A0 = A; // save A | |
| lu.compute(A); | |
| x = lu.solve(b); | |
| std::cout << "Residual: " << (A0 * x - b).norm() << "\n"; | |
| std::cout << "[recompute]\n"; | |
| std::cout << "[recompute_bis0]\n"; | |
| Eigen::MatrixXd A1(2, 2); | |
| A1 << 5, -2, 3, 4; | |
| lu.compute(A1); | |
| std::cout << "Here is the input matrix A1 after decomposition:\n" << A1 << "\n"; | |
| std::cout << "[recompute_bis0]\n"; | |
| std::cout << "[recompute_bis1]\n"; | |
| x = lu.solve(b); | |
| std::cout << "Residual: " << (A1 * x - b).norm() << "\n"; | |
| std::cout << "[recompute_bis1]\n"; | |
| } |