| // SPDX-FileCopyrightText: The Eigen Authors |
| // SPDX-License-Identifier: MPL-2.0 |
| |
| #include <Eigen/Dense> |
| #include <cmath> |
| #include <iostream> |
| #include <contrib/Eigen/AutoDiff> |
| |
| template <typename Scalar> |
| Scalar f(const Scalar& x, const Scalar& y) { |
| using std::sin; |
| return x * x * y + sin(y); |
| } |
| |
| int main() { |
| typedef Eigen::AutoDiffScalar<Eigen::Vector2d> ADScalar; |
| |
| ADScalar x(2.0, Eigen::Vector2d::UnitX()); |
| ADScalar y(0.5, Eigen::Vector2d::UnitY()); |
| ADScalar z = f(x, y); |
| |
| std::cout << "f(x,y) = " << z.value() << "\n"; |
| std::cout << "df/dx = " << z.derivatives()[0] << "\n"; |
| std::cout << "df/dy = " << z.derivatives()[1] << "\n"; |
| } |
