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1 // This file is part of Eigen, a lightweight C++ template library
2 // for linear algebra.
3 //
4 // Copyright (C) 2012 Gael Guennebaud <gael.guennebaud@inria.fr>
5 //
6 // This Source Code Form is subject to the terms of the Mozilla
7 // Public License v. 2.0. If a copy of the MPL was not distributed
8 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9 
10 #include "main.h"
11 #include <limits>
12 #include <Eigen/Eigenvalues>
13 
generalized_eigensolver_real(const MatrixType & m)14 template<typename MatrixType> void generalized_eigensolver_real(const MatrixType& m)
15 {
16   typedef typename MatrixType::Index Index;
17   /* this test covers the following files:
18      GeneralizedEigenSolver.h
19   */
20   Index rows = m.rows();
21   Index cols = m.cols();
22 
23   typedef typename MatrixType::Scalar Scalar;
24   typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
25 
26   MatrixType a = MatrixType::Random(rows,cols);
27   MatrixType b = MatrixType::Random(rows,cols);
28   MatrixType a1 = MatrixType::Random(rows,cols);
29   MatrixType b1 = MatrixType::Random(rows,cols);
30   MatrixType spdA =  a.adjoint() * a + a1.adjoint() * a1;
31   MatrixType spdB =  b.adjoint() * b + b1.adjoint() * b1;
32 
33   // lets compare to GeneralizedSelfAdjointEigenSolver
34   GeneralizedSelfAdjointEigenSolver<MatrixType> symmEig(spdA, spdB);
35   GeneralizedEigenSolver<MatrixType> eig(spdA, spdB);
36 
37   VERIFY_IS_EQUAL(eig.eigenvalues().imag().cwiseAbs().maxCoeff(), 0);
38 
39   VectorType realEigenvalues = eig.eigenvalues().real();
40   std::sort(realEigenvalues.data(), realEigenvalues.data()+realEigenvalues.size());
41   VERIFY_IS_APPROX(realEigenvalues, symmEig.eigenvalues());
42 }
43 
test_eigensolver_generalized_real()44 void test_eigensolver_generalized_real()
45 {
46   for(int i = 0; i < g_repeat; i++) {
47     int s = 0;
48     CALL_SUBTEST_1( generalized_eigensolver_real(Matrix4f()) );
49     s = internal::random<int>(1,EIGEN_TEST_MAX_SIZE/4);
50     CALL_SUBTEST_2( generalized_eigensolver_real(MatrixXd(s,s)) );
51 
52     // some trivial but implementation-wise tricky cases
53     CALL_SUBTEST_2( generalized_eigensolver_real(MatrixXd(1,1)) );
54     CALL_SUBTEST_2( generalized_eigensolver_real(MatrixXd(2,2)) );
55     CALL_SUBTEST_3( generalized_eigensolver_real(Matrix<double,1,1>()) );
56     CALL_SUBTEST_4( generalized_eigensolver_real(Matrix2d()) );
57     TEST_SET_BUT_UNUSED_VARIABLE(s)
58   }
59 }
60