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📄 matrixoperators.h

📁 关于矩阵运算的很强的一个工具包
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  XprBinOp<								\    Fcnl_##NAME<typename E1::value_type, typename E2::value_type>,	\    XprMatrix<E1, Rows1, Cols1>,					\    XprMatrix<E2, Rows1, Cols1>						\  >,									\  Rows1, Cols1								\>									\operator OP (const XprMatrix<E1, Rows1, Cols1>& lhs, 			\	     const XprMatrix<E2, Rows1, Cols1>& rhs) {			\  return NAME (lhs, rhs);						\}TVMET_IMPLEMENT_MACRO(add, +)		// per se element wiseTVMET_IMPLEMENT_MACRO(sub, -)		// per se element wisenamespace element_wise {  TVMET_IMPLEMENT_MACRO(mul, *)		// see as prod()  TVMET_IMPLEMENT_MACRO(div, /)		// not defined for matrizes, must be element_wise}#undef TVMET_IMPLEMENT_MACRO/* * operator(XprMatrix<E, Rows, Cols>,  POD) * operator(POD, XprMatrix<E, Rows, Cols>) * Note: operations +,-,*,/ are per se element wise */#define TVMET_IMPLEMENT_MACRO(NAME, OP, POD)			\template<class E, std::size_t Rows, std::size_t Cols>		\inline								\XprMatrix<							\  XprBinOp<							\    Fcnl_##NAME<typename E::value_type, POD >,			\    XprMatrix<E, Rows, Cols>,					\    XprLiteral< POD >						\  >,								\  Rows, Cols							\>								\operator OP (const XprMatrix<E, Rows, Cols>& lhs, POD rhs) {	\  return NAME (lhs, rhs);					\}								\								\template<class E,std::size_t Rows, std::size_t Cols>		\inline								\XprMatrix<							\  XprBinOp<							\    Fcnl_##NAME<POD, typename E::value_type>,			\    XprLiteral< POD >,						\    XprMatrix<E, Rows, Cols>					\  >,								\  Rows, Cols							\>								\operator OP (POD lhs, const XprMatrix<E, Rows, Cols>& rhs) {	\  return NAME (lhs, rhs);					\}TVMET_IMPLEMENT_MACRO(add, +, int)TVMET_IMPLEMENT_MACRO(sub, -, int)TVMET_IMPLEMENT_MACRO(mul, *, int)TVMET_IMPLEMENT_MACRO(div, /, int)#if defined(TVMET_HAVE_LONG_LONG)TVMET_IMPLEMENT_MACRO(add, +, long long int)TVMET_IMPLEMENT_MACRO(sub, -, long long int)TVMET_IMPLEMENT_MACRO(mul, *, long long int)TVMET_IMPLEMENT_MACRO(div, /, long long int)#endif // defined(TVMET_HAVE_LONG_LONG)TVMET_IMPLEMENT_MACRO(add, +, float)TVMET_IMPLEMENT_MACRO(sub, -, float)TVMET_IMPLEMENT_MACRO(mul, *, float)TVMET_IMPLEMENT_MACRO(div, /, float)TVMET_IMPLEMENT_MACRO(add, +, double)TVMET_IMPLEMENT_MACRO(sub, -, double)TVMET_IMPLEMENT_MACRO(mul, *, double)TVMET_IMPLEMENT_MACRO(div, /, double)#if defined(TVMET_HAVE_LONG_DOUBLE)TVMET_IMPLEMENT_MACRO(add, +, long double)TVMET_IMPLEMENT_MACRO(sub, -, long double)TVMET_IMPLEMENT_MACRO(mul, *, long double)TVMET_IMPLEMENT_MACRO(div, /, long double)#endif // defined(TVMET_HAVE_LONG_DOUBLE)#undef TVMET_IMPLEMENT_MACRO#if defined(TVMET_HAVE_COMPLEX)/* * operator(XprMatrix<E, Rows, Cols>, complex<>) * operator(complex<>, XprMatrix<E, Rows, Cols>) * Note: operations +,-,*,/ are per se element wise * \todo type promotion */#define TVMET_IMPLEMENT_MACRO(NAME, OP)				\template<class E, std::size_t Rows, std::size_t Cols, class T>	\inline								\XprMatrix<							\  XprBinOp<							\    Fcnl_##NAME<typename E::value_type, std::complex<T> >,	\    XprMatrix<E, Rows, Cols>,					\    XprLiteral< std::complex<T> >				\  >,								\  Rows, Cols							\>								\operator OP (const XprMatrix<E, Rows, Cols>& lhs,		\	     const std::complex<T>& rhs) {			\  return NAME (lhs, rhs);					\}								\								\template<class E, std::size_t Rows, std::size_t Cols, class T>	\inline								\XprMatrix<							\  XprBinOp<							\    Fcnl_##NAME<std::complex<T>, typename E::value_type>,	\    XprLiteral< std::complex<T> >,				\    XprMatrix<E, Rows, Cols>					\  >,								\  Rows, Cols							\>								\operator OP (const std::complex<T>& lhs,			\	     const XprMatrix<E, Rows, Cols>& rhs) {		\  return NAME (lhs, rhs);					\}TVMET_IMPLEMENT_MACRO(add, +)TVMET_IMPLEMENT_MACRO(sub, -)TVMET_IMPLEMENT_MACRO(mul, *)TVMET_IMPLEMENT_MACRO(div, /)#undef TVMET_IMPLEMENT_MACRO#endif // defined(TVMET_HAVE_COMPLEX)/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++ * matrix specific operator*() = prod() operations *+++++++++++++++++++++++++++++++++++++++++++++++++++++++*//** * \fn operator*(const XprMatrix<E1, Rows1, Cols1>& lhs, const XprMatrix<E2, Cols1, Cols2>& rhs) * \brief Evaluate the product of two XprMatrix. * \ingroup _binary_operator * \sa prod(XprMatrix<E1, Rows1, Cols1> lhs, XprMatrix<E2, Cols1, Cols2> rhs) */template<class E1, std::size_t Rows1, std::size_t Cols1,	 class E2, std::size_t Cols2>inlineXprMatrix<  XprMMProduct<    XprMatrix<E1, Rows1, Cols1>, Rows1, Cols1,	// M1(Rows1, Cols1)    XprMatrix<E2, Cols1, Cols2>, Cols2		// M2(Cols1, Cols2)  >,  Rows1, Cols2>operator*(const XprMatrix<E1, Rows1, Cols1>& lhs, const XprMatrix<E2, Cols1, Cols2>& rhs) {  return prod(lhs, rhs);}/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++ * matrix-vector specific prod( ... ) operators *+++++++++++++++++++++++++++++++++++++++++++++++++++++++*//** * \fn operator*(const XprMatrix<E1, Rows, Cols>& lhs, const XprVector<E2, Cols>& rhs) * \brief Evaluate the product of XprMatrix and XprVector. * \ingroup _binary_operator * \sa prod(XprMatrix<E1, Rows, Cols> lhs, XprVector<E2, Cols> rhs) */template<class E1, std::size_t Rows, std::size_t Cols,	 class E2>inlineXprVector<  XprMVProduct<    XprMatrix<E1, Rows, Cols>, Rows, Cols,    XprVector<E2, Cols>  >,  Rows>operator*(const XprMatrix<E1, Rows, Cols>& lhs, const XprVector<E2, Cols>& rhs) {  return prod(lhs, rhs);}/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++ * Matrix integer and compare operators *+++++++++++++++++++++++++++++++++++++++++++++++++++++++*//* * operator(XprMatrix<>, XprMatrix<>) * Note: operations are per se element wise */#define TVMET_IMPLEMENT_MACRO(NAME, OP)					\template<class E1, std::size_t Rows, std::size_t Cols,			\         class E2>							\inline									\XprMatrix<								\  XprBinOp<								\    Fcnl_##NAME<typename E1::value_type, typename E2::value_type>,	\    XprMatrix<E1, Rows, Cols>,						\    XprMatrix<E2, Rows, Cols>						\  >,									\  Rows, Cols								\>									\operator OP (const XprMatrix<E1, Rows, Cols>& lhs, 			\	     const XprMatrix<E2, Rows, Cols>& rhs) {			\  typedef XprBinOp<							\    Fcnl_##NAME<typename E1::value_type, typename E2::value_type>,	\    XprMatrix<E1, Rows, Cols>,						\    XprMatrix<E2, Rows, Cols>						\  >		    					expr_type;	\  return XprMatrix<expr_type, Rows, Cols>(expr_type(lhs, rhs));		\}// integer operators only, e.g used on double you will get an errornamespace element_wise {  TVMET_IMPLEMENT_MACRO(mod, %)  TVMET_IMPLEMENT_MACRO(bitxor, ^)  TVMET_IMPLEMENT_MACRO(bitand, &)  TVMET_IMPLEMENT_MACRO(bitor, |)  TVMET_IMPLEMENT_MACRO(shl, <<)  TVMET_IMPLEMENT_MACRO(shr, >>)}// necessary operators for eval functionsTVMET_IMPLEMENT_MACRO(greater, >)TVMET_IMPLEMENT_MACRO(less, <)TVMET_IMPLEMENT_MACRO(greater_eq, >=)TVMET_IMPLEMENT_MACRO(less_eq, <=)TVMET_IMPLEMENT_MACRO(eq, ==)TVMET_IMPLEMENT_MACRO(not_eq, !=)TVMET_IMPLEMENT_MACRO(and, &&)TVMET_IMPLEMENT_MACRO(or, ||)#undef TVMET_IMPLEMENT_MACRO#if defined(TVMET_HAVE_COMPLEX)/* * operator(XprMatrix<E, Rows, Cols>, std::complex<>) * operator(std::complex<>, XprMatrix<E, Rows, Cols>) * Note: - per se element wise *       - bit ops on complex<int> doesn't make sense, stay away * \todo type promotion */#define TVMET_IMPLEMENT_MACRO(NAME, OP)					\template<class E, std::size_t Rows, std::size_t Cols, class T>		\inline									\XprMatrix<								\  XprBinOp<								\    Fcnl_##NAME<typename E::value_type, std::complex<T> >,		\    XprMatrix<E, Rows, Cols>,						\    XprLiteral< std::complex<T> >					\  >,									\  Rows, Cols								\>									\operator OP (const XprMatrix<E, Rows, Cols>& lhs, 			\	     const std::complex<T>& rhs) {				\  typedef XprBinOp<							\    Fcnl_##NAME<typename E::value_type, std::complex<T> >,		\    XprMatrix<E, Rows, Cols>,						\    XprLiteral< std::complex<T> >					\  >							expr_type;	\  return XprMatrix<expr_type, Rows, Cols>(				\    expr_type(lhs, XprLiteral< std::complex<T> >(rhs)));		\}									\									\template<class E, std::size_t Rows, std::size_t Cols, class T>		\inline									\XprMatrix<								\  XprBinOp<								\    Fcnl_##NAME<std::complex<T>, typename E::value_type>,		\    XprLiteral< std::complex<T> >,					\    XprMatrix<E, Rows, Cols>						\  >,									\  Rows, Cols								\>									\operator OP (const std::complex<T>& lhs, 				\	     const XprMatrix<E, Rows, Cols>& rhs) {			\  typedef XprBinOp<							\    Fcnl_##NAME< std::complex<T>, typename E::value_type>,		\    XprLiteral< std::complex<T> >,					\    XprMatrix<E, Rows, Cols>						\  >							expr_type;	\  return XprMatrix<expr_type, Rows, Cols>(				\    expr_type(XprLiteral< std::complex<T> >(lhs), rhs));		\}// necessary operators for eval functionsTVMET_IMPLEMENT_MACRO(greater, >)TVMET_IMPLEMENT_MACRO(less, <)TVMET_IMPLEMENT_MACRO(greater_eq, >=)TVMET_IMPLEMENT_MACRO(less_eq, <=)TVMET_IMPLEMENT_MACRO(eq, ==)TVMET_IMPLEMENT_MACRO(not_eq, !=)TVMET_IMPLEMENT_MACRO(and, &&)TVMET_IMPLEMENT_MACRO(or, ||)#undef TVMET_IMPLEMENT_MACRO#endif // defined(TVMET_HAVE_COMPLEX)/* * operator(XprMatrix<E, Rows, Cols>, POD) * operator(POD, XprMatrix<E, Rows, Cols>) * Note: operations are per se element wise */#define TVMET_IMPLEMENT_MACRO(NAME, OP, TP)				\template<class E, std::size_t Rows, std::size_t Cols>			\inline									\XprMatrix<								\  XprBinOp<								\    Fcnl_##NAME<typename E::value_type, TP >,				\    XprMatrix<E, Rows, Cols>,						\    XprLiteral< TP >							\  >,									\  Rows, Cols								\>									\operator OP (const XprMatrix<E, Rows, Cols>& lhs, TP rhs) {		\  typedef XprBinOp<							\    Fcnl_##NAME<typename E::value_type, TP >,				\    XprMatrix<E, Rows, Cols>,						\    XprLiteral< TP >							\  >							expr_type;	\  return XprMatrix<expr_type, Rows, Cols>(				\    expr_type(lhs, XprLiteral< TP >(rhs)));				\}									\									\template<class E, std::size_t Rows, std::size_t Cols>			\inline									\XprMatrix<								\  XprBinOp<								\    Fcnl_##NAME<TP, typename E::value_type>,				\    XprLiteral< TP >,							\    XprMatrix<E, Rows, Cols>						\  >,									\  Rows, Cols								\>									\operator OP (TP lhs, const XprMatrix<E, Rows, Cols>& rhs) {		\  typedef XprBinOp<							\    Fcnl_##NAME< TP, typename E::value_type>,				\    XprLiteral< TP >,							\    XprMatrix<E, Rows, Cols>						\  >							expr_type;	\  return XprMatrix<expr_type, Rows, Cols>(				\    expr_type(XprLiteral< TP >(lhs), rhs));				\}// integer operators only, e.g used on double you will get an errornamespace element_wise {  TVMET_IMPLEMENT_MACRO(mod, %, int)  TVMET_IMPLEMENT_MACRO(bitxor, ^, int)  TVMET_IMPLEMENT_MACRO(bitand, &, int)  TVMET_IMPLEMENT_MACRO(bitor, |, int)  TVMET_IMPLEMENT_MACRO(shl, <<, int)  TVMET_IMPLEMENT_MACRO(shr, >>, int)}// necessary operators for eval functionsTVMET_IMPLEMENT_MACRO(greater, >, int)TVMET_IMPLEMENT_MACRO(less, <, int)TVMET_IMPLEMENT_MACRO(greater_eq, >=, int)TVMET_IMPLEMENT_MACRO(less_eq, <=, int)TVMET_IMPLEMENT_MACRO(eq, ==, int)TVMET_IMPLEMENT_MACRO(not_eq, !=, int)TVMET_IMPLEMENT_MACRO(and, &&, int)TVMET_IMPLEMENT_MACRO(or, ||, int)#if defined(TVMET_HAVE_LONG_LONG)// integer operators onlynamespace element_wise {  TVMET_IMPLEMENT_MACRO(mod, %, long long int)  TVMET_IMPLEMENT_MACRO(bitxor, ^, long long int)  TVMET_IMPLEMENT_MACRO(bitand, &, long long int)  TVMET_IMPLEMENT_MACRO(bitor, |, long long int)  TVMET_IMPLEMENT_MACRO(shl, <<, long long int)  TVMET_IMPLEMENT_MACRO(shr, >>, long long int)}// necessary operators for eval functionsTVMET_IMPLEMENT_MACRO(greater, >, long long int)TVMET_IMPLEMENT_MACRO(less, <, long long int)TVMET_IMPLEMENT_MACRO(greater_eq, >=, long long int)TVMET_IMPLEMENT_MACRO(less_eq, <=, long long int)TVMET_IMPLEMENT_MACRO(eq, ==, long long int)TVMET_IMPLEMENT_MACRO(not_eq, !=, long long int)TVMET_IMPLEMENT_MACRO(and, &&, long long int)TVMET_IMPLEMENT_MACRO(or, ||, long long int)#endif // defined(TVMET_HAVE_LONG_LONG)// necessary operators for eval functionsTVMET_IMPLEMENT_MACRO(greater, >, float)TVMET_IMPLEMENT_MACRO(less, <, float)TVMET_IMPLEMENT_MACRO(greater_eq, >=, float)TVMET_IMPLEMENT_MACRO(less_eq, <=, float)TVMET_IMPLEMENT_MACRO(eq, ==, float)TVMET_IMPLEMENT_MACRO(not_eq, !=, float)TVMET_IMPLEMENT_MACRO(and, &&, float)TVMET_IMPLEMENT_MACRO(or, ||, float)// necessary operators for eval functionsTVMET_IMPLEMENT_MACRO(greater, >, double)TVMET_IMPLEMENT_MACRO(less, <, double)TVMET_IMPLEMENT_MACRO(greater_eq, >=, double)TVMET_IMPLEMENT_MACRO(less_eq, <=, double)TVMET_IMPLEMENT_MACRO(eq, ==, double)TVMET_IMPLEMENT_MACRO(not_eq, !=, double)TVMET_IMPLEMENT_MACRO(and, &&, double)TVMET_IMPLEMENT_MACRO(or, ||, double)#if defined(TVMET_HAVE_LONG_DOUBLE)// necessary operators for eval functionsTVMET_IMPLEMENT_MACRO(greater, >, long double)TVMET_IMPLEMENT_MACRO(less, <, long double)TVMET_IMPLEMENT_MACRO(greater_eq, >=, long double)TVMET_IMPLEMENT_MACRO(less_eq, <=, long double)TVMET_IMPLEMENT_MACRO(eq, ==, long double)TVMET_IMPLEMENT_MACRO(not_eq, !=, long double)TVMET_IMPLEMENT_MACRO(and, &&, long double)TVMET_IMPLEMENT_MACRO(or, ||, long double)#endif // defined(TVMET_HAVE_LONG_DOUBLE)#undef TVMET_IMPLEMENT_MACRO/*++++++++++++++++++++++++++++++++++++++++++++++++++++++++ * global unary operators *+++++++++++++++++++++++++++++++++++++++++++++++++++++++*//* * unary_operator(const XprMatrix<E, Rows, Cols>& m) * Note: per se element wise */#define TVMET_IMPLEMENT_MACRO(NAME, OP)					\template <class E, std::size_t Rows, std::size_t Cols>			\inline									\XprMatrix<								\  XprUnOp<								\    Fcnl_##NAME<typename E::value_type>,				\    XprMatrix<E, Rows, Cols>						\  >,									\  Rows, Cols								\>									\operator OP (const XprMatrix<E, Rows, Cols>& m) {			\  typedef XprUnOp<							\    Fcnl_##NAME<typename E::value_type>,				\    XprMatrix<E, Rows, Cols>						\  >  							 expr_type;	\  return XprMatrix<expr_type, Rows, Cols>(expr_type(m));		\}TVMET_IMPLEMENT_MACRO(not, !)TVMET_IMPLEMENT_MACRO(compl, ~)TVMET_IMPLEMENT_MACRO(neg, -)#undef TVMET_IMPLEMENT_MACRO} // namespace tvmet#endif // TVMET_XPR_MATRIX_OPERATORS_H// Local Variables:// mode:C++// tab-width:8// End:

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