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 Eigen  3.3.9
SparseDot.h
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
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
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
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
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
92 SparseMatrixBase<Derived>::blueNorm() const
93 {
94  return internal::blueNorm_impl(*this);
95 }
96 } // end namespace Eigen
97
98 #endif // EIGEN_SPARSE_DOT_H
Eigen
Namespace containing all symbols from the Eigen library.
Definition: Core:309
Eigen::sqrt
const Eigen::CwiseUnaryOp< Eigen::internal::scalar_sqrt_op< typename Derived::Scalar >, const Derived > sqrt(const Eigen::ArrayBase< Derived > &x)