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| | #ifndef EIGEN_SPARSE_DOT_H |
| | #define EIGEN_SPARSE_DOT_H |
| |
|
| | namespace Eigen { |
| |
|
| | template<typename Derived> |
| | template<typename OtherDerived> |
| | typename internal::traits<Derived>::Scalar |
| | SparseMatrixBase<Derived>::dot(const MatrixBase<OtherDerived>& other) const |
| | { |
| | EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) |
| | EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived) |
| | EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived) |
| | EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value), |
| | YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY) |
| |
|
| | eigen_assert(size() == other.size()); |
| | eigen_assert(other.size()>0 && "you are using a non initialized vector"); |
| |
|
| | internal::evaluator<Derived> thisEval(derived()); |
| | typename internal::evaluator<Derived>::InnerIterator i(thisEval, 0); |
| | Scalar res(0); |
| | while (i) |
| | { |
| | res += numext::conj(i.value()) * other.coeff(i.index()); |
| | ++i; |
| | } |
| | return res; |
| | } |
| |
|
| | template<typename Derived> |
| | template<typename OtherDerived> |
| | typename internal::traits<Derived>::Scalar |
| | SparseMatrixBase<Derived>::dot(const SparseMatrixBase<OtherDerived>& other) const |
| | { |
| | EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived) |
| | EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived) |
| | EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived) |
| | EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value), |
| | YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY) |
| |
|
| | eigen_assert(size() == other.size()); |
| |
|
| | internal::evaluator<Derived> thisEval(derived()); |
| | typename internal::evaluator<Derived>::InnerIterator i(thisEval, 0); |
| | |
| | internal::evaluator<OtherDerived> otherEval(other.derived()); |
| | typename internal::evaluator<OtherDerived>::InnerIterator j(otherEval, 0); |
| |
|
| | Scalar res(0); |
| | while (i && j) |
| | { |
| | if (i.index()==j.index()) |
| | { |
| | res += numext::conj(i.value()) * j.value(); |
| | ++i; ++j; |
| | } |
| | else if (i.index()<j.index()) |
| | ++i; |
| | else |
| | ++j; |
| | } |
| | return res; |
| | } |
| |
|
| | template<typename Derived> |
| | inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real |
| | SparseMatrixBase<Derived>::squaredNorm() const |
| | { |
| | return numext::real((*this).cwiseAbs2().sum()); |
| | } |
| |
|
| | template<typename Derived> |
| | inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real |
| | SparseMatrixBase<Derived>::norm() const |
| | { |
| | using std::sqrt; |
| | return sqrt(squaredNorm()); |
| | } |
| |
|
| | template<typename Derived> |
| | inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real |
| | SparseMatrixBase<Derived>::blueNorm() const |
| | { |
| | return internal::blueNorm_impl(*this); |
| | } |
| | } |
| |
|
| | #endif |
| |
|