VectorwiseOp.h File Reference

Go to the source code of this file.

Classes
struct	Eigen::internal::traits< PartialReduxExpr< MatrixType, MemberOp, Direction > >
class	Eigen::PartialReduxExpr< MatrixType, MemberOp, Direction >
	Generic expression of a partially reduxed matrix. More...
struct	Eigen::internal::member_lpnorm< p, ResultType, Scalar >
struct	Eigen::internal::member_lpnorm< p, ResultType, Scalar >::Cost< Size >
struct	Eigen::internal::member_redux< BinaryOpT, Scalar >
struct	Eigen::internal::member_redux< BinaryOpT, Scalar >::Cost< Size >
class	Eigen::VectorwiseOp< ExpressionType, Direction >
	Pseudo expression providing broadcasting and partial reduction operations. More...
struct	Eigen::VectorwiseOp< ExpressionType, Direction >::ReturnType< Functor, ReturnScalar >
struct	Eigen::VectorwiseOp< ExpressionType, Direction >::ReduxReturnType< BinaryOp >
struct	Eigen::VectorwiseOp< ExpressionType, Direction >::ExtendedType< OtherDerived >
struct	Eigen::VectorwiseOp< ExpressionType, Direction >::OppositeExtendedType< OtherDerived >
struct	Eigen::VectorwiseOp< ExpressionType, Direction >::LpNormReturnType< p >

Namespaces
	Eigen
	Namespace containing all symbols from the Eigen library.
	Eigen::internal

Macros
#define	EIGEN_MAKE_PARTIAL_REDUX_FUNCTOR(MEMBER, COST, VECTORIZABLE, BINARYOP)
#define	EIGEN_MEMBER_FUNCTOR(MEMBER, COST)    EIGEN_MAKE_PARTIAL_REDUX_FUNCTOR(MEMBER,COST,0,partial_redux_dummy_func)

Functions
	Eigen::internal::EIGEN_MEMBER_FUNCTOR (norm,(Size+5) *NumTraits< Scalar >::MulCost+(Size-1) *NumTraits< Scalar >::AddCost)
	Eigen::internal::EIGEN_MEMBER_FUNCTOR (stableNorm,(Size+5) *NumTraits< Scalar >::MulCost+(Size-1) *NumTraits< Scalar >::AddCost)
	Eigen::internal::EIGEN_MEMBER_FUNCTOR (blueNorm,(Size+5) *NumTraits< Scalar >::MulCost+(Size-1) *NumTraits< Scalar >::AddCost)
	Eigen::internal::EIGEN_MEMBER_FUNCTOR (hypotNorm,(Size-1) *functor_traits< scalar_hypot_op< Scalar > >::Cost)
	Eigen::internal::EIGEN_MEMBER_FUNCTOR (all,(Size-1) *NumTraits< Scalar >::AddCost)
	Eigen::internal::EIGEN_MEMBER_FUNCTOR (any,(Size-1) *NumTraits< Scalar >::AddCost)
	Eigen::internal::EIGEN_MEMBER_FUNCTOR (count,(Size-1) *NumTraits< Scalar >::AddCost)
	Eigen::internal::EIGEN_MAKE_PARTIAL_REDUX_FUNCTOR (sum,(Size-1) *NumTraits< Scalar >::AddCost, 1, internal::scalar_sum_op)
	Eigen::internal::EIGEN_MAKE_PARTIAL_REDUX_FUNCTOR (minCoeff,(Size-1) *NumTraits< Scalar >::AddCost, 1, internal::scalar_min_op)
	Eigen::internal::EIGEN_MAKE_PARTIAL_REDUX_FUNCTOR (maxCoeff,(Size-1) *NumTraits< Scalar >::AddCost, 1, internal::scalar_max_op)
	Eigen::internal::EIGEN_MAKE_PARTIAL_REDUX_FUNCTOR (prod,(Size-1) *NumTraits< Scalar >::MulCost, 1, internal::scalar_product_op)

Macro Definition Documentation

EIGEN_MAKE_PARTIAL_REDUX_FUNCTOR

#define EIGEN_MAKE_PARTIAL_REDUX_FUNCTOR	(		MEMBER,
			COST,
			VECTORIZABLE,
			BINARYOP
	)

Value:

  template <typename ResultType,typename Scalar>                                                            \
  struct member_##MEMBER {                                                                  \
    EIGEN_EMPTY_STRUCT_CTOR(member_##MEMBER)                                                \
    typedef ResultType result_type;                                                         \
    typedef BINARYOP<Scalar,Scalar> BinaryOp;   \
    template<int Size> struct Cost { enum { value = COST }; };             \
    enum { Vectorizable = VECTORIZABLE };                                                   \
    template<typename XprType>                                                              \
    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE                                                   \
    ResultType operator()(const XprType& mat) const                                         \
    { return mat.MEMBER(); }                                                                \
    BinaryOp binaryFunc() const { return BinaryOp(); }                                      \
  }

EIGEN_MEMBER_FUNCTOR

#define EIGEN_MEMBER_FUNCTOR	(		MEMBER,
			COST
	)		EIGEN_MAKE_PARTIAL_REDUX_FUNCTOR(MEMBER,COST,0,partial_redux_dummy_func)