| // |
| // Copyright (c) 2000-2002 |
| // Joerg Walter, Mathias Koch |
| // |
| // Distributed under the Boost Software License, Version 1.0. (See |
| // accompanying file LICENSE_1_0.txt or copy at |
| // http://www.boost.org/LICENSE_1_0.txt) |
| // |
| // The authors gratefully acknowledge the support of |
| // GeNeSys mbH & Co. KG in producing this work. |
| // |
| |
| #ifndef _BOOST_UBLAS_LU_ |
| #define _BOOST_UBLAS_LU_ |
| |
| #include <boost/numeric/ublas/operation.hpp> |
| #include <boost/numeric/ublas/vector_proxy.hpp> |
| #include <boost/numeric/ublas/matrix_proxy.hpp> |
| #include <boost/numeric/ublas/vector.hpp> |
| #include <boost/numeric/ublas/triangular.hpp> |
| |
| // LU factorizations in the spirit of LAPACK and Golub & van Loan |
| |
| namespace boost { namespace numeric { namespace ublas { |
| |
| /** \brief |
| * |
| * \tparam T |
| * \tparam A |
| */ |
| template<class T = std::size_t, class A = unbounded_array<T> > |
| class permutation_matrix: |
| public vector<T, A> { |
| public: |
| typedef vector<T, A> vector_type; |
| typedef typename vector_type::size_type size_type; |
| |
| // Construction and destruction |
| BOOST_UBLAS_INLINE |
| explicit |
| permutation_matrix (size_type size): |
| vector<T, A> (size) { |
| for (size_type i = 0; i < size; ++ i) |
| (*this) (i) = i; |
| } |
| BOOST_UBLAS_INLINE |
| explicit |
| permutation_matrix (const vector_type & init) |
| : vector_type(init) |
| { } |
| BOOST_UBLAS_INLINE |
| ~permutation_matrix () {} |
| |
| // Assignment |
| BOOST_UBLAS_INLINE |
| permutation_matrix &operator = (const permutation_matrix &m) { |
| vector_type::operator = (m); |
| return *this; |
| } |
| }; |
| |
| template<class PM, class MV> |
| BOOST_UBLAS_INLINE |
| void swap_rows (const PM &pm, MV &mv, vector_tag) { |
| typedef typename PM::size_type size_type; |
| typedef typename MV::value_type value_type; |
| |
| size_type size = pm.size (); |
| for (size_type i = 0; i < size; ++ i) { |
| if (i != pm (i)) |
| std::swap (mv (i), mv (pm (i))); |
| } |
| } |
| template<class PM, class MV> |
| BOOST_UBLAS_INLINE |
| void swap_rows (const PM &pm, MV &mv, matrix_tag) { |
| typedef typename PM::size_type size_type; |
| typedef typename MV::value_type value_type; |
| |
| size_type size = pm.size (); |
| for (size_type i = 0; i < size; ++ i) { |
| if (i != pm (i)) |
| row (mv, i).swap (row (mv, pm (i))); |
| } |
| } |
| // Dispatcher |
| template<class PM, class MV> |
| BOOST_UBLAS_INLINE |
| void swap_rows (const PM &pm, MV &mv) { |
| swap_rows (pm, mv, typename MV::type_category ()); |
| } |
| |
| // LU factorization without pivoting |
| template<class M> |
| typename M::size_type lu_factorize (M &m) { |
| typedef M matrix_type; |
| typedef typename M::size_type size_type; |
| typedef typename M::value_type value_type; |
| |
| #if BOOST_UBLAS_TYPE_CHECK |
| matrix_type cm (m); |
| #endif |
| size_type singular = 0; |
| size_type size1 = m.size1 (); |
| size_type size2 = m.size2 (); |
| size_type size = (std::min) (size1, size2); |
| for (size_type i = 0; i < size; ++ i) { |
| matrix_column<M> mci (column (m, i)); |
| matrix_row<M> mri (row (m, i)); |
| if (m (i, i) != value_type/*zero*/()) { |
| value_type m_inv = value_type (1) / m (i, i); |
| project (mci, range (i + 1, size1)) *= m_inv; |
| } else if (singular == 0) { |
| singular = i + 1; |
| } |
| project (m, range (i + 1, size1), range (i + 1, size2)).minus_assign ( |
| outer_prod (project (mci, range (i + 1, size1)), |
| project (mri, range (i + 1, size2)))); |
| } |
| #if BOOST_UBLAS_TYPE_CHECK |
| BOOST_UBLAS_CHECK (singular != 0 || |
| detail::expression_type_check (prod (triangular_adaptor<matrix_type, unit_lower> (m), |
| triangular_adaptor<matrix_type, upper> (m)), |
| cm), internal_logic ()); |
| #endif |
| return singular; |
| } |
| |
| // LU factorization with partial pivoting |
| template<class M, class PM> |
| typename M::size_type lu_factorize (M &m, PM &pm) { |
| typedef M matrix_type; |
| typedef typename M::size_type size_type; |
| typedef typename M::value_type value_type; |
| |
| #if BOOST_UBLAS_TYPE_CHECK |
| matrix_type cm (m); |
| #endif |
| size_type singular = 0; |
| size_type size1 = m.size1 (); |
| size_type size2 = m.size2 (); |
| size_type size = (std::min) (size1, size2); |
| for (size_type i = 0; i < size; ++ i) { |
| matrix_column<M> mci (column (m, i)); |
| matrix_row<M> mri (row (m, i)); |
| size_type i_norm_inf = i + index_norm_inf (project (mci, range (i, size1))); |
| BOOST_UBLAS_CHECK (i_norm_inf < size1, external_logic ()); |
| if (m (i_norm_inf, i) != value_type/*zero*/()) { |
| if (i_norm_inf != i) { |
| pm (i) = i_norm_inf; |
| row (m, i_norm_inf).swap (mri); |
| } else { |
| BOOST_UBLAS_CHECK (pm (i) == i_norm_inf, external_logic ()); |
| } |
| value_type m_inv = value_type (1) / m (i, i); |
| project (mci, range (i + 1, size1)) *= m_inv; |
| } else if (singular == 0) { |
| singular = i + 1; |
| } |
| project (m, range (i + 1, size1), range (i + 1, size2)).minus_assign ( |
| outer_prod (project (mci, range (i + 1, size1)), |
| project (mri, range (i + 1, size2)))); |
| } |
| #if BOOST_UBLAS_TYPE_CHECK |
| swap_rows (pm, cm); |
| BOOST_UBLAS_CHECK (singular != 0 || |
| detail::expression_type_check (prod (triangular_adaptor<matrix_type, unit_lower> (m), |
| triangular_adaptor<matrix_type, upper> (m)), cm), internal_logic ()); |
| #endif |
| return singular; |
| } |
| |
| template<class M, class PM> |
| typename M::size_type axpy_lu_factorize (M &m, PM &pm) { |
| typedef M matrix_type; |
| typedef typename M::size_type size_type; |
| typedef typename M::value_type value_type; |
| typedef vector<value_type> vector_type; |
| |
| #if BOOST_UBLAS_TYPE_CHECK |
| matrix_type cm (m); |
| #endif |
| size_type singular = 0; |
| size_type size1 = m.size1 (); |
| size_type size2 = m.size2 (); |
| size_type size = (std::min) (size1, size2); |
| #ifndef BOOST_UBLAS_LU_WITH_INPLACE_SOLVE |
| matrix_type mr (m); |
| mr.assign (zero_matrix<value_type> (size1, size2)); |
| vector_type v (size1); |
| for (size_type i = 0; i < size; ++ i) { |
| matrix_range<matrix_type> lrr (project (mr, range (0, i), range (0, i))); |
| vector_range<matrix_column<matrix_type> > urr (project (column (mr, i), range (0, i))); |
| urr.assign (solve (lrr, project (column (m, i), range (0, i)), unit_lower_tag ())); |
| project (v, range (i, size1)).assign ( |
| project (column (m, i), range (i, size1)) - |
| axpy_prod<vector_type> (project (mr, range (i, size1), range (0, i)), urr)); |
| size_type i_norm_inf = i + index_norm_inf (project (v, range (i, size1))); |
| BOOST_UBLAS_CHECK (i_norm_inf < size1, external_logic ()); |
| if (v (i_norm_inf) != value_type/*zero*/()) { |
| if (i_norm_inf != i) { |
| pm (i) = i_norm_inf; |
| std::swap (v (i_norm_inf), v (i)); |
| project (row (m, i_norm_inf), range (i + 1, size2)).swap (project (row (m, i), range (i + 1, size2))); |
| } else { |
| BOOST_UBLAS_CHECK (pm (i) == i_norm_inf, external_logic ()); |
| } |
| project (column (mr, i), range (i + 1, size1)).assign ( |
| project (v, range (i + 1, size1)) / v (i)); |
| if (i_norm_inf != i) { |
| project (row (mr, i_norm_inf), range (0, i)).swap (project (row (mr, i), range (0, i))); |
| } |
| } else if (singular == 0) { |
| singular = i + 1; |
| } |
| mr (i, i) = v (i); |
| } |
| m.assign (mr); |
| #else |
| matrix_type lr (m); |
| matrix_type ur (m); |
| lr.assign (identity_matrix<value_type> (size1, size2)); |
| ur.assign (zero_matrix<value_type> (size1, size2)); |
| vector_type v (size1); |
| for (size_type i = 0; i < size; ++ i) { |
| matrix_range<matrix_type> lrr (project (lr, range (0, i), range (0, i))); |
| vector_range<matrix_column<matrix_type> > urr (project (column (ur, i), range (0, i))); |
| urr.assign (project (column (m, i), range (0, i))); |
| inplace_solve (lrr, urr, unit_lower_tag ()); |
| project (v, range (i, size1)).assign ( |
| project (column (m, i), range (i, size1)) - |
| axpy_prod<vector_type> (project (lr, range (i, size1), range (0, i)), urr)); |
| size_type i_norm_inf = i + index_norm_inf (project (v, range (i, size1))); |
| BOOST_UBLAS_CHECK (i_norm_inf < size1, external_logic ()); |
| if (v (i_norm_inf) != value_type/*zero*/()) { |
| if (i_norm_inf != i) { |
| pm (i) = i_norm_inf; |
| std::swap (v (i_norm_inf), v (i)); |
| project (row (m, i_norm_inf), range (i + 1, size2)).swap (project (row (m, i), range (i + 1, size2))); |
| } else { |
| BOOST_UBLAS_CHECK (pm (i) == i_norm_inf, external_logic ()); |
| } |
| project (column (lr, i), range (i + 1, size1)).assign ( |
| project (v, range (i + 1, size1)) / v (i)); |
| if (i_norm_inf != i) { |
| project (row (lr, i_norm_inf), range (0, i)).swap (project (row (lr, i), range (0, i))); |
| } |
| } else if (singular == 0) { |
| singular = i + 1; |
| } |
| ur (i, i) = v (i); |
| } |
| m.assign (triangular_adaptor<matrix_type, strict_lower> (lr) + |
| triangular_adaptor<matrix_type, upper> (ur)); |
| #endif |
| #if BOOST_UBLAS_TYPE_CHECK |
| swap_rows (pm, cm); |
| BOOST_UBLAS_CHECK (singular != 0 || |
| detail::expression_type_check (prod (triangular_adaptor<matrix_type, unit_lower> (m), |
| triangular_adaptor<matrix_type, upper> (m)), cm), internal_logic ()); |
| #endif |
| return singular; |
| } |
| |
| // LU substitution |
| template<class M, class E> |
| void lu_substitute (const M &m, vector_expression<E> &e) { |
| typedef const M const_matrix_type; |
| typedef vector<typename E::value_type> vector_type; |
| |
| #if BOOST_UBLAS_TYPE_CHECK |
| vector_type cv1 (e); |
| #endif |
| inplace_solve (m, e, unit_lower_tag ()); |
| #if BOOST_UBLAS_TYPE_CHECK |
| BOOST_UBLAS_CHECK (detail::expression_type_check (prod (triangular_adaptor<const_matrix_type, unit_lower> (m), e), cv1), internal_logic ()); |
| vector_type cv2 (e); |
| #endif |
| inplace_solve (m, e, upper_tag ()); |
| #if BOOST_UBLAS_TYPE_CHECK |
| BOOST_UBLAS_CHECK (detail::expression_type_check (prod (triangular_adaptor<const_matrix_type, upper> (m), e), cv2), internal_logic ()); |
| #endif |
| } |
| template<class M, class E> |
| void lu_substitute (const M &m, matrix_expression<E> &e) { |
| typedef const M const_matrix_type; |
| typedef matrix<typename E::value_type> matrix_type; |
| |
| #if BOOST_UBLAS_TYPE_CHECK |
| matrix_type cm1 (e); |
| #endif |
| inplace_solve (m, e, unit_lower_tag ()); |
| #if BOOST_UBLAS_TYPE_CHECK |
| BOOST_UBLAS_CHECK (detail::expression_type_check (prod (triangular_adaptor<const_matrix_type, unit_lower> (m), e), cm1), internal_logic ()); |
| matrix_type cm2 (e); |
| #endif |
| inplace_solve (m, e, upper_tag ()); |
| #if BOOST_UBLAS_TYPE_CHECK |
| BOOST_UBLAS_CHECK (detail::expression_type_check (prod (triangular_adaptor<const_matrix_type, upper> (m), e), cm2), internal_logic ()); |
| #endif |
| } |
| template<class M, class PMT, class PMA, class MV> |
| void lu_substitute (const M &m, const permutation_matrix<PMT, PMA> &pm, MV &mv) { |
| swap_rows (pm, mv); |
| lu_substitute (m, mv); |
| } |
| template<class E, class M> |
| void lu_substitute (vector_expression<E> &e, const M &m) { |
| typedef const M const_matrix_type; |
| typedef vector<typename E::value_type> vector_type; |
| |
| #if BOOST_UBLAS_TYPE_CHECK |
| vector_type cv1 (e); |
| #endif |
| inplace_solve (e, m, upper_tag ()); |
| #if BOOST_UBLAS_TYPE_CHECK |
| BOOST_UBLAS_CHECK (detail::expression_type_check (prod (e, triangular_adaptor<const_matrix_type, upper> (m)), cv1), internal_logic ()); |
| vector_type cv2 (e); |
| #endif |
| inplace_solve (e, m, unit_lower_tag ()); |
| #if BOOST_UBLAS_TYPE_CHECK |
| BOOST_UBLAS_CHECK (detail::expression_type_check (prod (e, triangular_adaptor<const_matrix_type, unit_lower> (m)), cv2), internal_logic ()); |
| #endif |
| } |
| template<class E, class M> |
| void lu_substitute (matrix_expression<E> &e, const M &m) { |
| typedef const M const_matrix_type; |
| typedef matrix<typename E::value_type> matrix_type; |
| |
| #if BOOST_UBLAS_TYPE_CHECK |
| matrix_type cm1 (e); |
| #endif |
| inplace_solve (e, m, upper_tag ()); |
| #if BOOST_UBLAS_TYPE_CHECK |
| BOOST_UBLAS_CHECK (detail::expression_type_check (prod (e, triangular_adaptor<const_matrix_type, upper> (m)), cm1), internal_logic ()); |
| matrix_type cm2 (e); |
| #endif |
| inplace_solve (e, m, unit_lower_tag ()); |
| #if BOOST_UBLAS_TYPE_CHECK |
| BOOST_UBLAS_CHECK (detail::expression_type_check (prod (e, triangular_adaptor<const_matrix_type, unit_lower> (m)), cm2), internal_logic ()); |
| #endif |
| } |
| template<class MV, class M, class PMT, class PMA> |
| void lu_substitute (MV &mv, const M &m, const permutation_matrix<PMT, PMA> &pm) { |
| swap_rows (pm, mv); |
| lu_substitute (mv, m); |
| } |
| |
| }}} |
| |
| #endif |