| // This file is part of Eigen, a lightweight C++ template library |
| // for linear algebra. |
| // |
| // Copyright (C) 2013 Christoph Hertzberg <chtz@informatik.uni-bremen.de> |
| // |
| // This Source Code Form is subject to the terms of the Mozilla |
| // Public License v. 2.0. If a copy of the MPL was not distributed |
| // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. |
| |
| #include "main.h" |
| #include <unsupported/Eigen/AutoDiff> |
| |
| /* |
| * In this file scalar derivations are tested for correctness. |
| * TODO add more tests! |
| */ |
| |
| template<typename Scalar> void check_atan2() |
| { |
| typedef Matrix<Scalar, 1, 1> Deriv1; |
| typedef AutoDiffScalar<Deriv1> AD; |
| |
| AD x(internal::random<Scalar>(-3.0, 3.0), Deriv1::UnitX()); |
| |
| using std::exp; |
| Scalar r = exp(internal::random<Scalar>(-10, 10)); |
| |
| AD s = sin(x), c = cos(x); |
| AD res = atan2(r*s, r*c); |
| |
| VERIFY_IS_APPROX(res.value(), x.value()); |
| VERIFY_IS_APPROX(res.derivatives(), x.derivatives()); |
| } |
| |
| |
| |
| |
| void test_autodiff_scalar() |
| { |
| for(int i = 0; i < g_repeat; i++) { |
| CALL_SUBTEST_1( check_atan2<float>() ); |
| CALL_SUBTEST_2( check_atan2<double>() ); |
| } |
| } |