10#ifndef EIGEN_SPARSE_DOT_H
11#define EIGEN_SPARSE_DOT_H
15template<
typename Derived>
16template<
typename OtherDerived>
17typename internal::traits<Derived>::Scalar
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)
26 eigen_assert(size() == other.size());
27 eigen_assert(other.size()>0 &&
"you are using a non initialized vector");
29 typename Derived::InnerIterator i(derived(),0);
33 res += internal::conj(i.value()) * other.coeff(i.index());
39template<
typename Derived>
40template<
typename OtherDerived>
41typename internal::traits<Derived>::Scalar
44 EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
45 EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
46 EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
47 EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),
48 YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
50 eigen_assert(size() == other.size());
52 typedef typename Derived::Nested Nested;
53 typedef typename OtherDerived::Nested OtherNested;
54 typedef typename internal::remove_all<Nested>::type NestedCleaned;
55 typedef typename internal::remove_all<OtherNested>::type OtherNestedCleaned;
57 const Nested nthis(derived());
58 const OtherNested nother(other.derived());
60 typename NestedCleaned::InnerIterator i(nthis,0);
61 typename OtherNestedCleaned::InnerIterator j(nother,0);
65 if (i.index()==j.index())
67 res += internal::conj(i.value()) * j.value();
70 else if (i.index()<j.index())
78template<
typename Derived>
80SparseMatrixBase<Derived>::squaredNorm()
const
82 return internal::real((*this).cwiseAbs2().sum());
85template<
typename Derived>
87SparseMatrixBase<Derived>::norm()
const
89 return internal::sqrt(squaredNorm());
Base class for all dense matrices, vectors, and expressions.
Definition MatrixBase.h:50
Base class of any sparse matrices or sparse expressions.
Definition SparseMatrixBase.h:27
Holds information about the various numeric (i.e. scalar) types allowed by Eigen.
Definition NumTraits.h:89