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Diffstat (limited to 'eigen/test/qr.cpp')
-rw-r--r-- | eigen/test/qr.cpp | 127 |
1 files changed, 127 insertions, 0 deletions
diff --git a/eigen/test/qr.cpp b/eigen/test/qr.cpp new file mode 100644 index 0000000..a79e0dd --- /dev/null +++ b/eigen/test/qr.cpp @@ -0,0 +1,127 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. +// +// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr> +// +// 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 <Eigen/QR> + +template<typename MatrixType> void qr(const MatrixType& m) +{ + typedef typename MatrixType::Index Index; + + Index rows = m.rows(); + Index cols = m.cols(); + + typedef typename MatrixType::Scalar Scalar; + typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> MatrixQType; + + MatrixType a = MatrixType::Random(rows,cols); + HouseholderQR<MatrixType> qrOfA(a); + + MatrixQType q = qrOfA.householderQ(); + VERIFY_IS_UNITARY(q); + + MatrixType r = qrOfA.matrixQR().template triangularView<Upper>(); + VERIFY_IS_APPROX(a, qrOfA.householderQ() * r); +} + +template<typename MatrixType, int Cols2> void qr_fixedsize() +{ + enum { Rows = MatrixType::RowsAtCompileTime, Cols = MatrixType::ColsAtCompileTime }; + typedef typename MatrixType::Scalar Scalar; + Matrix<Scalar,Rows,Cols> m1 = Matrix<Scalar,Rows,Cols>::Random(); + HouseholderQR<Matrix<Scalar,Rows,Cols> > qr(m1); + + Matrix<Scalar,Rows,Cols> r = qr.matrixQR(); + // FIXME need better way to construct trapezoid + for(int i = 0; i < Rows; i++) for(int j = 0; j < Cols; j++) if(i>j) r(i,j) = Scalar(0); + + VERIFY_IS_APPROX(m1, qr.householderQ() * r); + + Matrix<Scalar,Cols,Cols2> m2 = Matrix<Scalar,Cols,Cols2>::Random(Cols,Cols2); + Matrix<Scalar,Rows,Cols2> m3 = m1*m2; + m2 = Matrix<Scalar,Cols,Cols2>::Random(Cols,Cols2); + m2 = qr.solve(m3); + VERIFY_IS_APPROX(m3, m1*m2); +} + +template<typename MatrixType> void qr_invertible() +{ + using std::log; + using std::abs; + typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar; + typedef typename MatrixType::Scalar Scalar; + + int size = internal::random<int>(10,50); + + MatrixType m1(size, size), m2(size, size), m3(size, size); + m1 = MatrixType::Random(size,size); + + if (internal::is_same<RealScalar,float>::value) + { + // let's build a matrix more stable to inverse + MatrixType a = MatrixType::Random(size,size*2); + m1 += a * a.adjoint(); + } + + HouseholderQR<MatrixType> qr(m1); + m3 = MatrixType::Random(size,size); + m2 = qr.solve(m3); + VERIFY_IS_APPROX(m3, m1*m2); + + // now construct a matrix with prescribed determinant + m1.setZero(); + for(int i = 0; i < size; i++) m1(i,i) = internal::random<Scalar>(); + RealScalar absdet = abs(m1.diagonal().prod()); + m3 = qr.householderQ(); // get a unitary + m1 = m3 * m1 * m3; + qr.compute(m1); + VERIFY_IS_APPROX(absdet, qr.absDeterminant()); + VERIFY_IS_APPROX(log(absdet), qr.logAbsDeterminant()); +} + +template<typename MatrixType> void qr_verify_assert() +{ + MatrixType tmp; + + HouseholderQR<MatrixType> qr; + VERIFY_RAISES_ASSERT(qr.matrixQR()) + VERIFY_RAISES_ASSERT(qr.solve(tmp)) + VERIFY_RAISES_ASSERT(qr.householderQ()) + VERIFY_RAISES_ASSERT(qr.absDeterminant()) + VERIFY_RAISES_ASSERT(qr.logAbsDeterminant()) +} + +void test_qr() +{ + for(int i = 0; i < g_repeat; i++) { + CALL_SUBTEST_1( qr(MatrixXf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE),internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) ); + CALL_SUBTEST_2( qr(MatrixXcd(internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2),internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2))) ); + CALL_SUBTEST_3(( qr_fixedsize<Matrix<float,3,4>, 2 >() )); + CALL_SUBTEST_4(( qr_fixedsize<Matrix<double,6,2>, 4 >() )); + CALL_SUBTEST_5(( qr_fixedsize<Matrix<double,2,5>, 7 >() )); + CALL_SUBTEST_11( qr(Matrix<float,1,1>()) ); + } + + for(int i = 0; i < g_repeat; i++) { + CALL_SUBTEST_1( qr_invertible<MatrixXf>() ); + CALL_SUBTEST_6( qr_invertible<MatrixXd>() ); + CALL_SUBTEST_7( qr_invertible<MatrixXcf>() ); + CALL_SUBTEST_8( qr_invertible<MatrixXcd>() ); + } + + CALL_SUBTEST_9(qr_verify_assert<Matrix3f>()); + CALL_SUBTEST_10(qr_verify_assert<Matrix3d>()); + CALL_SUBTEST_1(qr_verify_assert<MatrixXf>()); + CALL_SUBTEST_6(qr_verify_assert<MatrixXd>()); + CALL_SUBTEST_7(qr_verify_assert<MatrixXcf>()); + CALL_SUBTEST_8(qr_verify_assert<MatrixXcd>()); + + // Test problem size constructors + CALL_SUBTEST_12(HouseholderQR<MatrixXf>(10, 20)); +} |