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
13namespace Eigen {
14
15template<typename Derived>
16template<typename OtherDerived>
17typename internal::traits<Derived>::Scalar
18SparseMatrixBase<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
40template<typename Derived>
41template<typename OtherDerived>
42typename internal::traits<Derived>::Scalar
43SparseMatrixBase<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
75template<typename Derived>
76inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
77SparseMatrixBase<Derived>::squaredNorm() const
78{
79 return numext::real((*this).cwiseAbs2().sum());
80}
81
82template<typename Derived>
83inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
84SparseMatrixBase<Derived>::norm() const
85{
86 using std::sqrt;
87 return sqrt(squaredNorm());
88}
89
90template<typename Derived>
91inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
92SparseMatrixBase<Derived>::blueNorm() const
93{
94 return internal::blueNorm_impl(*this);
95}
96} // end namespace Eigen
97
98#endif // EIGEN_SPARSE_DOT_H
99