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// 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/StormEigen/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>() ); } }
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