• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
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 #ifndef EIGEN_SPARSE_DOT_H
11 #define EIGEN_SPARSE_DOT_H
12 
13 namespace Eigen {
14 
15 template<typename Derived>
16 template<typename OtherDerived>
17 typename internal::traits<Derived>::Scalar
dot(const MatrixBase<OtherDerived> & other)18 SparseMatrixBase<Derived>::dot(const MatrixBase<OtherDerived>& other) const
19 {
20   EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
21   EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
22   EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
23   EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),
24     YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
25 
26   eigen_assert(size() == other.size());
27   eigen_assert(other.size()>0 && "you are using a non initialized vector");
28 
29   internal::evaluator<Derived> thisEval(derived());
30   typename internal::evaluator<Derived>::InnerIterator i(thisEval, 0);
31   Scalar res(0);
32   while (i)
33   {
34     res += numext::conj(i.value()) * other.coeff(i.index());
35     ++i;
36   }
37   return res;
38 }
39 
40 template<typename Derived>
41 template<typename OtherDerived>
42 typename internal::traits<Derived>::Scalar
dot(const SparseMatrixBase<OtherDerived> & other)43 SparseMatrixBase<Derived>::dot(const SparseMatrixBase<OtherDerived>& other) const
44 {
45   EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
46   EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
47   EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
48   EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),
49     YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
50 
51   eigen_assert(size() == other.size());
52 
53   internal::evaluator<Derived> thisEval(derived());
54   typename internal::evaluator<Derived>::InnerIterator i(thisEval, 0);
55 
56   internal::evaluator<OtherDerived>  otherEval(other.derived());
57   typename internal::evaluator<OtherDerived>::InnerIterator j(otherEval, 0);
58 
59   Scalar res(0);
60   while (i && j)
61   {
62     if (i.index()==j.index())
63     {
64       res += numext::conj(i.value()) * j.value();
65       ++i; ++j;
66     }
67     else if (i.index()<j.index())
68       ++i;
69     else
70       ++j;
71   }
72   return res;
73 }
74 
75 template<typename Derived>
76 inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
squaredNorm()77 SparseMatrixBase<Derived>::squaredNorm() const
78 {
79   return numext::real((*this).cwiseAbs2().sum());
80 }
81 
82 template<typename Derived>
83 inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
norm()84 SparseMatrixBase<Derived>::norm() const
85 {
86   using std::sqrt;
87   return sqrt(squaredNorm());
88 }
89 
90 template<typename Derived>
91 inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
blueNorm()92 SparseMatrixBase<Derived>::blueNorm() const
93 {
94   return internal::blueNorm_impl(*this);
95 }
96 } // end namespace Eigen
97 
98 #endif // EIGEN_SPARSE_DOT_H
99