cart-elc

Source code for CART-ELC
git clone git://git.laack.co/cart-elc.git
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qr.cpp (4673B)


      1 // This file is part of Eigen, a lightweight C++ template library
      2 // for linear algebra.
      3 //
      4 // Copyright (C) 2008 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 <Eigen/QR>
     12 #include "solverbase.h"
     13 
     14 template<typename MatrixType> void qr(const MatrixType& m)
     15 {
     16   Index rows = m.rows();
     17   Index cols = m.cols();
     18 
     19   typedef typename MatrixType::Scalar Scalar;
     20   typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> MatrixQType;
     21 
     22   MatrixType a = MatrixType::Random(rows,cols);
     23   HouseholderQR<MatrixType> qrOfA(a);
     24 
     25   MatrixQType q = qrOfA.householderQ();
     26   VERIFY_IS_UNITARY(q);
     27 
     28   MatrixType r = qrOfA.matrixQR().template triangularView<Upper>();
     29   VERIFY_IS_APPROX(a, qrOfA.householderQ() * r);
     30 }
     31 
     32 template<typename MatrixType, int Cols2> void qr_fixedsize()
     33 {
     34   enum { Rows = MatrixType::RowsAtCompileTime, Cols = MatrixType::ColsAtCompileTime };
     35   typedef typename MatrixType::Scalar Scalar;
     36   Matrix<Scalar,Rows,Cols> m1 = Matrix<Scalar,Rows,Cols>::Random();
     37   HouseholderQR<Matrix<Scalar,Rows,Cols> > qr(m1);
     38 
     39   Matrix<Scalar,Rows,Cols> r = qr.matrixQR();
     40   // FIXME need better way to construct trapezoid
     41   for(int i = 0; i < Rows; i++) for(int j = 0; j < Cols; j++) if(i>j) r(i,j) = Scalar(0);
     42 
     43   VERIFY_IS_APPROX(m1, qr.householderQ() * r);
     44 
     45   check_solverbase<Matrix<Scalar,Cols,Cols2>, Matrix<Scalar,Rows,Cols2> >(m1, qr, Rows, Cols, Cols2);
     46 }
     47 
     48 template<typename MatrixType> void qr_invertible()
     49 {
     50   using std::log;
     51   using std::abs;
     52   using std::pow;
     53   using std::max;
     54   typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
     55   typedef typename MatrixType::Scalar Scalar;
     56 
     57   STATIC_CHECK(( internal::is_same<typename HouseholderQR<MatrixType>::StorageIndex,int>::value ));
     58 
     59   int size = internal::random<int>(10,50);
     60 
     61   MatrixType m1(size, size), m2(size, size), m3(size, size);
     62   m1 = MatrixType::Random(size,size);
     63 
     64   if (internal::is_same<RealScalar,float>::value)
     65   {
     66     // let's build a matrix more stable to inverse
     67     MatrixType a = MatrixType::Random(size,size*4);
     68     m1 += a * a.adjoint();
     69   }
     70 
     71   HouseholderQR<MatrixType> qr(m1);
     72 
     73   check_solverbase<MatrixType, MatrixType>(m1, qr, size, size, size);
     74 
     75   // now construct a matrix with prescribed determinant
     76   m1.setZero();
     77   for(int i = 0; i < size; i++) m1(i,i) = internal::random<Scalar>();
     78   RealScalar absdet = abs(m1.diagonal().prod());
     79   m3 = qr.householderQ(); // get a unitary
     80   m1 = m3 * m1 * m3;
     81   qr.compute(m1);
     82   VERIFY_IS_APPROX(log(absdet), qr.logAbsDeterminant());
     83   // This test is tricky if the determinant becomes too small.
     84   // Since we generate random numbers with magnitude range [0,1], the average determinant is 0.5^size
     85   VERIFY_IS_MUCH_SMALLER_THAN( abs(absdet-qr.absDeterminant()), numext::maxi(RealScalar(pow(0.5,size)),numext::maxi<RealScalar>(abs(absdet),abs(qr.absDeterminant()))) );
     86   
     87 }
     88 
     89 template<typename MatrixType> void qr_verify_assert()
     90 {
     91   MatrixType tmp;
     92 
     93   HouseholderQR<MatrixType> qr;
     94   VERIFY_RAISES_ASSERT(qr.matrixQR())
     95   VERIFY_RAISES_ASSERT(qr.solve(tmp))
     96   VERIFY_RAISES_ASSERT(qr.transpose().solve(tmp))
     97   VERIFY_RAISES_ASSERT(qr.adjoint().solve(tmp))
     98   VERIFY_RAISES_ASSERT(qr.householderQ())
     99   VERIFY_RAISES_ASSERT(qr.absDeterminant())
    100   VERIFY_RAISES_ASSERT(qr.logAbsDeterminant())
    101 }
    102 
    103 EIGEN_DECLARE_TEST(qr)
    104 {
    105   for(int i = 0; i < g_repeat; i++) {
    106    CALL_SUBTEST_1( qr(MatrixXf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE),internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
    107    CALL_SUBTEST_2( qr(MatrixXcd(internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2),internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2))) );
    108    CALL_SUBTEST_3(( qr_fixedsize<Matrix<float,3,4>, 2 >() ));
    109    CALL_SUBTEST_4(( qr_fixedsize<Matrix<double,6,2>, 4 >() ));
    110    CALL_SUBTEST_5(( qr_fixedsize<Matrix<double,2,5>, 7 >() ));
    111    CALL_SUBTEST_11( qr(Matrix<float,1,1>()) );
    112   }
    113 
    114   for(int i = 0; i < g_repeat; i++) {
    115     CALL_SUBTEST_1( qr_invertible<MatrixXf>() );
    116     CALL_SUBTEST_6( qr_invertible<MatrixXd>() );
    117     CALL_SUBTEST_7( qr_invertible<MatrixXcf>() );
    118     CALL_SUBTEST_8( qr_invertible<MatrixXcd>() );
    119   }
    120 
    121   CALL_SUBTEST_9(qr_verify_assert<Matrix3f>());
    122   CALL_SUBTEST_10(qr_verify_assert<Matrix3d>());
    123   CALL_SUBTEST_1(qr_verify_assert<MatrixXf>());
    124   CALL_SUBTEST_6(qr_verify_assert<MatrixXd>());
    125   CALL_SUBTEST_7(qr_verify_assert<MatrixXcf>());
    126   CALL_SUBTEST_8(qr_verify_assert<MatrixXcd>());
    127 
    128   // Test problem size constructors
    129   CALL_SUBTEST_12(HouseholderQR<MatrixXf>(10, 20));
    130 }