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#define EIGEN_STACK_ALLOCATION_LIMIT 0 |
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#define EIGEN_RUNTIME_NO_MALLOC |
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#include "main.h" |
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#include <Eigen/SVD> |
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#include <iostream> |
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#include <Eigen/LU> |
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#define SVD_DEFAULT(M) BDCSVD<M> |
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#define SVD_FOR_MIN_NORM(M) BDCSVD<M> |
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#include "svd_common.h" |
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template<typename MatrixType> |
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void bdcsvd(const MatrixType& a = MatrixType(), bool pickrandom = true) |
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{ |
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MatrixType m = a; |
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if(pickrandom) |
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svd_fill_random(m); |
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CALL_SUBTEST(( svd_test_all_computation_options<BDCSVD<MatrixType> >(m, false) )); |
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} |
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template<typename MatrixType> |
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void bdcsvd_method() |
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{ |
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enum { Size = MatrixType::RowsAtCompileTime }; |
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typedef typename MatrixType::RealScalar RealScalar; |
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typedef Matrix<RealScalar, Size, 1> RealVecType; |
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MatrixType m = MatrixType::Identity(); |
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VERIFY_IS_APPROX(m.bdcSvd().singularValues(), RealVecType::Ones()); |
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VERIFY_RAISES_ASSERT(m.bdcSvd().matrixU()); |
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VERIFY_RAISES_ASSERT(m.bdcSvd().matrixV()); |
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VERIFY_IS_APPROX(m.bdcSvd(ComputeFullU|ComputeFullV).solve(m), m); |
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} |
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template<typename MatrixType> |
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void compare_bdc_jacobi(const MatrixType& a = MatrixType(), unsigned int computationOptions = 0) |
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{ |
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MatrixType m = MatrixType::Random(a.rows(), a.cols()); |
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BDCSVD<MatrixType> bdc_svd(m); |
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JacobiSVD<MatrixType> jacobi_svd(m); |
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VERIFY_IS_APPROX(bdc_svd.singularValues(), jacobi_svd.singularValues()); |
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if(computationOptions & ComputeFullU) VERIFY_IS_APPROX(bdc_svd.matrixU(), jacobi_svd.matrixU()); |
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if(computationOptions & ComputeThinU) VERIFY_IS_APPROX(bdc_svd.matrixU(), jacobi_svd.matrixU()); |
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if(computationOptions & ComputeFullV) VERIFY_IS_APPROX(bdc_svd.matrixV(), jacobi_svd.matrixV()); |
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if(computationOptions & ComputeThinV) VERIFY_IS_APPROX(bdc_svd.matrixV(), jacobi_svd.matrixV()); |
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} |
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void test_bdcsvd() |
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{ |
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CALL_SUBTEST_3(( svd_verify_assert<BDCSVD<Matrix3f> >(Matrix3f()) )); |
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CALL_SUBTEST_4(( svd_verify_assert<BDCSVD<Matrix4d> >(Matrix4d()) )); |
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CALL_SUBTEST_7(( svd_verify_assert<BDCSVD<MatrixXf> >(MatrixXf(10,12)) )); |
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CALL_SUBTEST_8(( svd_verify_assert<BDCSVD<MatrixXcd> >(MatrixXcd(7,5)) )); |
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CALL_SUBTEST_101(( svd_all_trivial_2x2(bdcsvd<Matrix2cd>) )); |
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CALL_SUBTEST_102(( svd_all_trivial_2x2(bdcsvd<Matrix2d>) )); |
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for(int i = 0; i < g_repeat; i++) { |
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CALL_SUBTEST_3(( bdcsvd<Matrix3f>() )); |
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CALL_SUBTEST_4(( bdcsvd<Matrix4d>() )); |
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CALL_SUBTEST_5(( bdcsvd<Matrix<float,3,5> >() )); |
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int r = internal::random<int>(1, EIGEN_TEST_MAX_SIZE/2), |
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c = internal::random<int>(1, EIGEN_TEST_MAX_SIZE/2); |
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TEST_SET_BUT_UNUSED_VARIABLE(r) |
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TEST_SET_BUT_UNUSED_VARIABLE(c) |
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CALL_SUBTEST_6(( bdcsvd(Matrix<double,Dynamic,2>(r,2)) )); |
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CALL_SUBTEST_7(( bdcsvd(MatrixXf(r,c)) )); |
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CALL_SUBTEST_7(( compare_bdc_jacobi(MatrixXf(r,c)) )); |
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CALL_SUBTEST_10(( bdcsvd(MatrixXd(r,c)) )); |
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CALL_SUBTEST_10(( compare_bdc_jacobi(MatrixXd(r,c)) )); |
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CALL_SUBTEST_8(( bdcsvd(MatrixXcd(r,c)) )); |
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CALL_SUBTEST_8(( compare_bdc_jacobi(MatrixXcd(r,c)) )); |
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CALL_SUBTEST_7( (svd_inf_nan<BDCSVD<MatrixXf>, MatrixXf>()) ); |
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CALL_SUBTEST_10( (svd_inf_nan<BDCSVD<MatrixXd>, MatrixXd>()) ); |
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} |
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CALL_SUBTEST_1(( bdcsvd_method<Matrix2cd>() )); |
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CALL_SUBTEST_3(( bdcsvd_method<Matrix3f>() )); |
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CALL_SUBTEST_7( BDCSVD<MatrixXf>(10,10) ); |
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CALL_SUBTEST_2( svd_underoverflow<void>() ); |
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} |
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