| 1 | // |
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| 2 | // Copyright (c) 2000-2002 |
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| 3 | // Joerg Walter, Mathias Koch |
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| 4 | // |
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| 5 | // Permission to use, copy, modify, distribute and sell this software |
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| 6 | // and its documentation for any purpose is hereby granted without fee, |
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| 7 | // provided that the above copyright notice appear in all copies and |
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| 8 | // that both that copyright notice and this permission notice appear |
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| 9 | // in supporting documentation. The authors make no representations |
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| 10 | // about the suitability of this software for any purpose. |
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| 11 | // It is provided "as is" without express or implied warranty. |
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| 12 | // |
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| 13 | // The authors gratefully acknowledge the support of |
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| 14 | // GeNeSys mbH & Co. KG in producing this work. |
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| 15 | // |
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| 16 | |
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| 17 | #ifndef _BOOST_UBLAS_OPERATION_BLOCKED_ |
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| 18 | #define _BOOST_UBLAS_OPERATION_BLOCKED_ |
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| 19 | |
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| 20 | #include <boost/numeric/ublas/traits.hpp> |
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| 21 | |
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| 22 | |
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| 23 | namespace boost { namespace numeric { namespace ublas { |
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| 24 | |
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| 25 | template<class V, typename V::size_type BS, class E1, class E2> |
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| 26 | BOOST_UBLAS_INLINE |
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| 27 | V |
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| 28 | block_prod (const matrix_expression<E1> &e1, |
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| 29 | const vector_expression<E2> &e2) { |
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| 30 | typedef V vector_type; |
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| 31 | typedef const E1 expression1_type; |
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| 32 | typedef const E2 expression2_type; |
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| 33 | typedef typename V::size_type size_type; |
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| 34 | typedef typename V::value_type value_type; |
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| 35 | const size_type block_size = BS; |
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| 36 | |
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| 37 | V v (e1 ().size1 ()); |
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| 38 | #if BOOST_UBLAS_TYPE_CHECK |
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| 39 | vector<value_type> cv (v.size ()); |
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| 40 | typedef typename type_traits<value_type>::real_type real_type; |
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| 41 | real_type verrorbound (norm_1 (v) + norm_1 (e1) * norm_1 (e2)); |
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| 42 | indexing_vector_assign<scalar_assign> (cv, prod (e1, e2)); |
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| 43 | #endif |
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| 44 | size_type i_size = e1 ().size1 (); |
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| 45 | size_type j_size = BOOST_UBLAS_SAME (e1 ().size2 (), e2 ().size ()); |
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| 46 | for (size_type i_begin = 0; i_begin < i_size; i_begin += block_size) { |
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| 47 | size_type i_end = i_begin + (std::min) (i_size - i_begin, block_size); |
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| 48 | // FIX: never ignore Martin Weiser's advice ;-( |
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| 49 | #ifdef BOOST_UBLAS_NO_CACHE |
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| 50 | vector_range<vector_type> v_range (v, range (i_begin, i_end)); |
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| 51 | #else |
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| 52 | // vector<value_type, bounded_array<value_type, block_size> > v_range (i_end - i_begin); |
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| 53 | vector<value_type> v_range (i_end - i_begin); |
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| 54 | #endif |
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| 55 | v_range.assign (zero_vector<value_type> (i_end - i_begin)); |
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| 56 | for (size_type j_begin = 0; j_begin < j_size; j_begin += block_size) { |
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| 57 | size_type j_end = j_begin + (std::min) (j_size - j_begin, block_size); |
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| 58 | #ifdef BOOST_UBLAS_NO_CACHE |
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| 59 | const matrix_range<expression1_type> e1_range (e1 (), range (i_begin, i_end), range (j_begin, j_end)); |
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| 60 | const vector_range<expression2_type> e2_range (e2 (), range (j_begin, j_end)); |
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| 61 | v_range.plus_assign (prod (e1_range, e2_range)); |
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| 62 | #else |
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| 63 | // const matrix<value_type, row_major, bounded_array<value_type, block_size * block_size> > e1_range (project (e1 (), range (i_begin, i_end), range (j_begin, j_end))); |
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| 64 | // const vector<value_type, bounded_array<value_type, block_size> > e2_range (project (e2 (), range (j_begin, j_end))); |
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| 65 | const matrix<value_type, row_major> e1_range (project (e1 (), range (i_begin, i_end), range (j_begin, j_end))); |
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| 66 | const vector<value_type> e2_range (project (e2 (), range (j_begin, j_end))); |
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| 67 | v_range.plus_assign (prod (e1_range, e2_range)); |
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| 68 | #endif |
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| 69 | } |
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| 70 | #ifndef BOOST_UBLAS_NO_CACHE |
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| 71 | project (v, range (i_begin, i_end)).assign (v_range); |
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| 72 | #endif |
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| 73 | } |
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| 74 | #if BOOST_UBLAS_TYPE_CHECK |
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| 75 | BOOST_UBLAS_CHECK (norm_1 (v - cv) <= 2 * std::numeric_limits<real_type>::epsilon () * verrorbound, internal_logic ()); |
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| 76 | #endif |
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| 77 | return v; |
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| 78 | } |
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| 79 | |
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| 80 | template<class V, typename V::size_type BS, class E1, class E2> |
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| 81 | BOOST_UBLAS_INLINE |
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| 82 | V |
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| 83 | block_prod (const vector_expression<E1> &e1, |
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| 84 | const matrix_expression<E2> &e2) { |
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| 85 | typedef V vector_type; |
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| 86 | typedef const E1 expression1_type; |
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| 87 | typedef const E2 expression2_type; |
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| 88 | typedef typename V::size_type size_type; |
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| 89 | typedef typename V::value_type value_type; |
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| 90 | const size_type block_size = BS; |
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| 91 | |
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| 92 | V v (e2 ().size2 ()); |
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| 93 | #if BOOST_UBLAS_TYPE_CHECK |
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| 94 | vector<value_type> cv (v.size ()); |
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| 95 | typedef typename type_traits<value_type>::real_type real_type; |
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| 96 | real_type verrorbound (norm_1 (v) + norm_1 (e1) * norm_1 (e2)); |
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| 97 | indexing_vector_assign<scalar_assign> (cv, prod (e1, e2)); |
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| 98 | #endif |
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| 99 | size_type i_size = BOOST_UBLAS_SAME (e1 ().size (), e2 ().size1 ()); |
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| 100 | size_type j_size = e2 ().size2 (); |
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| 101 | for (size_type j_begin = 0; j_begin < j_size; j_begin += block_size) { |
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| 102 | size_type j_end = j_begin + (std::min) (j_size - j_begin, block_size); |
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| 103 | // FIX: never ignore Martin Weiser's advice ;-( |
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| 104 | #ifdef BOOST_UBLAS_NO_CACHE |
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| 105 | vector_range<vector_type> v_range (v, range (j_begin, j_end)); |
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| 106 | #else |
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| 107 | // vector<value_type, bounded_array<value_type, block_size> > v_range (j_end - j_begin); |
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| 108 | vector<value_type> v_range (j_end - j_begin); |
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| 109 | #endif |
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| 110 | v_range.assign (zero_vector<value_type> (j_end - j_begin)); |
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| 111 | for (size_type i_begin = 0; i_begin < i_size; i_begin += block_size) { |
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| 112 | size_type i_end = i_begin + (std::min) (i_size - i_begin, block_size); |
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| 113 | #ifdef BOOST_UBLAS_NO_CACHE |
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| 114 | const vector_range<expression1_type> e1_range (e1 (), range (i_begin, i_end)); |
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| 115 | const matrix_range<expression2_type> e2_range (e2 (), range (i_begin, i_end), range (j_begin, j_end)); |
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| 116 | #else |
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| 117 | // const vector<value_type, bounded_array<value_type, block_size> > e1_range (project (e1 (), range (i_begin, i_end))); |
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| 118 | // const matrix<value_type, column_major, bounded_array<value_type, block_size * block_size> > e2_range (project (e2 (), range (i_begin, i_end), range (j_begin, j_end))); |
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| 119 | const vector<value_type> e1_range (project (e1 (), range (i_begin, i_end))); |
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| 120 | const matrix<value_type, column_major> e2_range (project (e2 (), range (i_begin, i_end), range (j_begin, j_end))); |
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| 121 | #endif |
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| 122 | v_range.plus_assign (prod (e1_range, e2_range)); |
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| 123 | } |
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| 124 | #ifndef BOOST_UBLAS_NO_CACHE |
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| 125 | project (v, range (j_begin, j_end)).assign (v_range); |
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| 126 | #endif |
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| 127 | } |
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| 128 | #if BOOST_UBLAS_TYPE_CHECK |
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| 129 | BOOST_UBLAS_CHECK (norm_1 (v - cv) <= 2 * std::numeric_limits<real_type>::epsilon () * verrorbound, internal_logic ()); |
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| 130 | #endif |
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| 131 | return v; |
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| 132 | } |
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| 133 | |
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| 134 | template<class M, typename M::size_type BS, class E1, class E2> |
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| 135 | BOOST_UBLAS_INLINE |
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| 136 | M |
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| 137 | block_prod (const matrix_expression<E1> &e1, |
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| 138 | const matrix_expression<E2> &e2, |
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| 139 | row_major_tag) { |
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| 140 | typedef M matrix_type; |
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| 141 | typedef const E1 expression1_type; |
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| 142 | typedef const E2 expression2_type; |
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| 143 | typedef typename M::size_type size_type; |
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| 144 | typedef typename M::value_type value_type; |
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| 145 | const size_type block_size = BS; |
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| 146 | |
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| 147 | M m (e1 ().size1 (), e2 ().size2 ()); |
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| 148 | #if BOOST_UBLAS_TYPE_CHECK |
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| 149 | matrix<value_type, row_major> cm (m.size1 (), m.size2 ()); |
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| 150 | typedef typename type_traits<value_type>::real_type real_type; |
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| 151 | real_type merrorbound (norm_1 (m) + norm_1 (e1) * norm_1 (e2)); |
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| 152 | indexing_matrix_assign<scalar_assign> (cm, prod (e1, e2), row_major_tag ()); |
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| 153 | disable_type_check<bool>::value = true; |
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| 154 | #endif |
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| 155 | size_type i_size = e1 ().size1 (); |
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| 156 | size_type j_size = e2 ().size2 (); |
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| 157 | size_type k_size = BOOST_UBLAS_SAME (e1 ().size2 (), e2 ().size1 ()); |
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| 158 | for (size_type i_begin = 0; i_begin < i_size; i_begin += block_size) { |
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| 159 | size_type i_end = i_begin + (std::min) (i_size - i_begin, block_size); |
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| 160 | for (size_type j_begin = 0; j_begin < j_size; j_begin += block_size) { |
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| 161 | size_type j_end = j_begin + (std::min) (j_size - j_begin, block_size); |
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| 162 | // FIX: never ignore Martin Weiser's advice ;-( |
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| 163 | #ifdef BOOST_UBLAS_NO_CACHE |
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| 164 | matrix_range<matrix_type> m_range (m, range (i_begin, i_end), range (j_begin, j_end)); |
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| 165 | #else |
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| 166 | // matrix<value_type, row_major, bounded_array<value_type, block_size * block_size> > m_range (i_end - i_begin, j_end - j_begin); |
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| 167 | matrix<value_type, row_major> m_range (i_end - i_begin, j_end - j_begin); |
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| 168 | #endif |
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| 169 | m_range.assign (zero_matrix<value_type> (i_end - i_begin, j_end - j_begin)); |
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| 170 | for (size_type k_begin = 0; k_begin < k_size; k_begin += block_size) { |
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| 171 | size_type k_end = k_begin + (std::min) (k_size - k_begin, block_size); |
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| 172 | #ifdef BOOST_UBLAS_NO_CACHE |
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| 173 | const matrix_range<expression1_type> e1_range (e1 (), range (i_begin, i_end), range (k_begin, k_end)); |
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| 174 | const matrix_range<expression2_type> e2_range (e2 (), range (k_begin, k_end), range (j_begin, j_end)); |
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| 175 | #else |
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| 176 | // const matrix<value_type, row_major, bounded_array<value_type, block_size * block_size> > e1_range (project (e1 (), range (i_begin, i_end), range (k_begin, k_end))); |
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| 177 | // const matrix<value_type, column_major, bounded_array<value_type, block_size * block_size> > e2_range (project (e2 (), range (k_begin, k_end), range (j_begin, j_end))); |
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| 178 | const matrix<value_type, row_major> e1_range (project (e1 (), range (i_begin, i_end), range (k_begin, k_end))); |
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| 179 | const matrix<value_type, column_major> e2_range (project (e2 (), range (k_begin, k_end), range (j_begin, j_end))); |
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| 180 | #endif |
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| 181 | m_range.plus_assign (prod (e1_range, e2_range)); |
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| 182 | } |
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| 183 | #ifndef BOOST_UBLAS_NO_CACHE |
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| 184 | project (m, range (i_begin, i_end), range (j_begin, j_end)).assign (m_range); |
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| 185 | #endif |
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| 186 | } |
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| 187 | } |
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| 188 | #if BOOST_UBLAS_TYPE_CHECK |
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| 189 | disable_type_check<bool>::value = false; |
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| 190 | BOOST_UBLAS_CHECK (norm_1 (m - cm) <= 2 * std::numeric_limits<real_type>::epsilon () * merrorbound, internal_logic ()); |
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| 191 | #endif |
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| 192 | return m; |
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| 193 | } |
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| 194 | |
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| 195 | template<class M, typename M::size_type BS, class E1, class E2> |
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| 196 | BOOST_UBLAS_INLINE |
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| 197 | M |
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| 198 | block_prod (const matrix_expression<E1> &e1, |
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| 199 | const matrix_expression<E2> &e2, |
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| 200 | column_major_tag) { |
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| 201 | typedef M matrix_type; |
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| 202 | typedef const E1 expression1_type; |
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| 203 | typedef const E2 expression2_type; |
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| 204 | typedef typename M::size_type size_type; |
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| 205 | typedef typename M::value_type value_type; |
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| 206 | const size_type block_size = BS; |
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| 207 | |
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| 208 | M m (e1 ().size1 (), e2 ().size2 ()); |
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| 209 | #if BOOST_UBLAS_TYPE_CHECK |
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| 210 | matrix<value_type, column_major> cm (m.size1 (), m.size2 ()); |
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| 211 | typedef typename type_traits<value_type>::real_type real_type; |
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| 212 | real_type merrorbound (norm_1 (m) + norm_1 (e1) * norm_1 (e2)); |
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| 213 | indexing_matrix_assign<scalar_assign> (cm, prod (e1, e2), column_major_tag ()); |
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| 214 | disable_type_check<bool>::value = true; |
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| 215 | #endif |
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| 216 | size_type i_size = e1 ().size1 (); |
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| 217 | size_type j_size = e2 ().size2 (); |
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| 218 | size_type k_size = BOOST_UBLAS_SAME (e1 ().size2 (), e2 ().size1 ()); |
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| 219 | for (size_type j_begin = 0; j_begin < j_size; j_begin += block_size) { |
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| 220 | size_type j_end = j_begin + (std::min) (j_size - j_begin, block_size); |
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| 221 | for (size_type i_begin = 0; i_begin < i_size; i_begin += block_size) { |
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| 222 | size_type i_end = i_begin + (std::min) (i_size - i_begin, block_size); |
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| 223 | // FIX: never ignore Martin Weiser's advice ;-( |
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| 224 | #ifdef BOOST_UBLAS_NO_CACHE |
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| 225 | matrix_range<matrix_type> m_range (m, range (i_begin, i_end), range (j_begin, j_end)); |
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| 226 | #else |
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| 227 | // matrix<value_type, column_major, bounded_array<value_type, block_size * block_size> > m_range (i_end - i_begin, j_end - j_begin); |
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| 228 | matrix<value_type, column_major> m_range (i_end - i_begin, j_end - j_begin); |
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| 229 | #endif |
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| 230 | m_range.assign (zero_matrix<value_type> (i_end - i_begin, j_end - j_begin)); |
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| 231 | for (size_type k_begin = 0; k_begin < k_size; k_begin += block_size) { |
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| 232 | size_type k_end = k_begin + (std::min) (k_size - k_begin, block_size); |
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| 233 | #ifdef BOOST_UBLAS_NO_CACHE |
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| 234 | const matrix_range<expression1_type> e1_range (e1 (), range (i_begin, i_end), range (k_begin, k_end)); |
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| 235 | const matrix_range<expression2_type> e2_range (e2 (), range (k_begin, k_end), range (j_begin, j_end)); |
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| 236 | #else |
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| 237 | // const matrix<value_type, row_major, bounded_array<value_type, block_size * block_size> > e1_range (project (e1 (), range (i_begin, i_end), range (k_begin, k_end))); |
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| 238 | // const matrix<value_type, column_major, bounded_array<value_type, block_size * block_size> > e2_range (project (e2 (), range (k_begin, k_end), range (j_begin, j_end))); |
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| 239 | const matrix<value_type, row_major> e1_range (project (e1 (), range (i_begin, i_end), range (k_begin, k_end))); |
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| 240 | const matrix<value_type, column_major> e2_range (project (e2 (), range (k_begin, k_end), range (j_begin, j_end))); |
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| 241 | #endif |
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| 242 | m_range.plus_assign (prod (e1_range, e2_range)); |
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| 243 | } |
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| 244 | #ifndef BOOST_UBLAS_NO_CACHE |
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| 245 | project (m, range (i_begin, i_end), range (j_begin, j_end)).assign (m_range); |
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| 246 | #endif |
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| 247 | } |
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| 248 | } |
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| 249 | #if BOOST_UBLAS_TYPE_CHECK |
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| 250 | disable_type_check<bool>::value = false; |
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| 251 | BOOST_UBLAS_CHECK (norm_1 (m - cm) <= 2 * std::numeric_limits<real_type>::epsilon () * merrorbound, internal_logic ()); |
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| 252 | #endif |
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| 253 | return m; |
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| 254 | } |
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| 255 | |
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| 256 | // Dispatcher |
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| 257 | template<class M, typename M::size_type BS, class E1, class E2> |
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| 258 | BOOST_UBLAS_INLINE |
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| 259 | M |
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| 260 | block_prod (const matrix_expression<E1> &e1, |
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| 261 | const matrix_expression<E2> &e2) { |
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| 262 | typedef typename M::orientation_category orientation_category; |
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| 263 | return block_prod<M, BS> (e1, e2, orientation_category ()); |
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| 264 | } |
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| 265 | |
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| 266 | }}} |
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| 267 | |
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| 268 | #endif |
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