TDMatSMatAddExpr.h
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1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_TDMATSMATADDEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_TDMATSMATADDEXPR_H_
37 
38 
39 //*************************************************************************************************
40 // Includes
41 //*************************************************************************************************
42 
43 #include <stdexcept>
70 #include <blaze/util/Assert.h>
72 #include <blaze/util/EnableIf.h>
74 #include <blaze/util/mpl/And.h>
75 #include <blaze/util/mpl/Max.h>
76 #include <blaze/util/mpl/Or.h>
77 #include <blaze/util/SelectType.h>
78 #include <blaze/util/Types.h>
80 
81 
82 namespace blaze {
83 
84 //=================================================================================================
85 //
86 // CLASS TDMATSMATADDEXPR
87 //
88 //=================================================================================================
89 
90 //*************************************************************************************************
97 template< typename MT1 // Type of the left-hand side dense matrix
98  , typename MT2 > // Type of the right-hand side sparse matrix
99 class TDMatSMatAddExpr : public DenseMatrix< TDMatSMatAddExpr<MT1,MT2>, true >
100  , private MatMatAddExpr
101  , private Computation
102 {
103  private:
104  //**Type definitions****************************************************************************
105  typedef typename MT1::ResultType RT1;
106  typedef typename MT2::ResultType RT2;
107  typedef typename MT1::ReturnType RN1;
108  typedef typename MT2::ReturnType RN2;
109  //**********************************************************************************************
110 
111  //**Return type evaluation**********************************************************************
113 
118  enum { returnExpr = !IsTemporary<RN1>::value && !IsTemporary<RN2>::value };
119 
122  //**********************************************************************************************
123 
124  //**Parallel evaluation strategy****************************************************************
126 
131  template< typename MT >
132  struct UseSMPAssign {
133  enum { value = ( !MT1::smpAssignable || !MT2::smpAssignable ) };
134  };
136  //**********************************************************************************************
137 
138  public:
139  //**Type definitions****************************************************************************
145 
148 
150  typedef const ResultType CompositeType;
151 
153  typedef typename SelectType< IsExpression<MT1>::value, const MT1, const MT1& >::Type LeftOperand;
154 
156  typedef typename SelectType< IsExpression<MT2>::value, const MT2, const MT2& >::Type RightOperand;
157  //**********************************************************************************************
158 
159  //**Compilation flags***************************************************************************
161  enum { vectorizable = 0 };
162 
164  enum { smpAssignable = 0 };
165  //**********************************************************************************************
166 
167  //**Constructor*********************************************************************************
173  explicit inline TDMatSMatAddExpr( const MT1& lhs, const MT2& rhs )
174  : lhs_( lhs ) // Left-hand side dense matrix of the addition expression
175  , rhs_( rhs ) // Right-hand side sparse matrix of the addition expression
176  {
177  BLAZE_INTERNAL_ASSERT( lhs.rows() == rhs.rows() , "Invalid number of rows" );
178  BLAZE_INTERNAL_ASSERT( lhs.columns() == rhs.columns(), "Invalid number of columns" );
179  }
180  //**********************************************************************************************
181 
182  //**Access operator*****************************************************************************
189  inline ReturnType operator()( size_t i, size_t j ) const {
190  BLAZE_INTERNAL_ASSERT( i < lhs_.rows() , "Invalid row access index" );
191  BLAZE_INTERNAL_ASSERT( j < lhs_.columns(), "Invalid column access index" );
192  return lhs_(i,j) + rhs_(i,j);
193  }
194  //**********************************************************************************************
195 
196  //**Rows function*******************************************************************************
201  inline size_t rows() const {
202  return lhs_.rows();
203  }
204  //**********************************************************************************************
205 
206  //**Columns function****************************************************************************
211  inline size_t columns() const {
212  return lhs_.columns();
213  }
214  //**********************************************************************************************
215 
216  //**Left operand access*************************************************************************
221  inline LeftOperand leftOperand() const {
222  return lhs_;
223  }
224  //**********************************************************************************************
225 
226  //**Right operand access************************************************************************
231  inline RightOperand rightOperand() const {
232  return rhs_;
233  }
234  //**********************************************************************************************
235 
236  //**********************************************************************************************
242  template< typename T >
243  inline bool canAlias( const T* alias ) const {
244  return ( IsExpression<MT1>::value && lhs_.canAlias( alias ) ) ||
245  ( rhs_.canAlias( alias ) );
246  }
247  //**********************************************************************************************
248 
249  //**********************************************************************************************
255  template< typename T >
256  inline bool isAliased( const T* alias ) const {
257  return ( lhs_.isAliased( alias ) || rhs_.isAliased( alias ) );
258  }
259  //**********************************************************************************************
260 
261  private:
262  //**Member variables****************************************************************************
263  LeftOperand lhs_;
264  RightOperand rhs_;
265  //**********************************************************************************************
266 
267  //**Assignment to dense matrices****************************************************************
279  template< typename MT // Type of the target dense matrix
280  , bool SO2 > // Storage order of the target dense matrix
281  friend inline void assign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
282  {
284 
285  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
286  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
287 
288  if( !IsExpression<MT1>::value && isSame( ~lhs, rhs.lhs_ ) ) {
289  addAssign( ~lhs, rhs.rhs_ );
290  }
291  else {
292  assign ( ~lhs, rhs.lhs_ );
293  addAssign( ~lhs, rhs.rhs_ );
294  }
295  }
297  //**********************************************************************************************
298 
299  //**Assignment to sparse matrices***************************************************************
311  template< typename MT // Type of the target sparse matrix
312  , bool SO2 > // Storage order of the target sparse matrix
313  friend inline void assign( SparseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
314  {
316 
317  typedef typename SelectType< SO2, ResultType, OppositeType >::Type TmpType;
318 
325 
326  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
327  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
328 
329  const TmpType tmp( serial( rhs ) );
330  assign( ~lhs, tmp );
331  }
333  //**********************************************************************************************
334 
335  //**Addition assignment to dense matrices*******************************************************
348  template< typename MT // Type of the target dense matrix
349  , bool SO2 > // Storage order of the target dense matrix
350  friend inline void addAssign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
351  {
353 
354  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
355  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
356 
357  addAssign( ~lhs, rhs.lhs_ );
358  addAssign( ~lhs, rhs.rhs_ );
359  }
361  //**********************************************************************************************
362 
363  //**Addition assignment to sparse matrices******************************************************
364  // No special implementation for the addition assignment to sparse matrices.
365  //**********************************************************************************************
366 
367  //**Subtraction assignment to dense matrices****************************************************
380  template< typename MT // Type of the target dense matrix
381  , bool SO2 > // Storage order of the target dense matrix
382  friend inline void subAssign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
383  {
385 
386  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
387  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
388 
389  subAssign( ~lhs, rhs.lhs_ );
390  subAssign( ~lhs, rhs.rhs_ );
391  }
393  //**********************************************************************************************
394 
395  //**Subtraction assignment to sparse matrices***************************************************
396  // No special implementation for the subtraction assignment to sparse matrices.
397  //**********************************************************************************************
398 
399  //**Multiplication assignment to dense matrices*************************************************
400  // No special implementation for the multiplication assignment to dense matrices.
401  //**********************************************************************************************
402 
403  //**Multiplication assignment to sparse matrices************************************************
404  // No special implementation for the multiplication assignment to sparse matrices.
405  //**********************************************************************************************
406 
407  //**SMP assignment to dense matrices************************************************************
421  template< typename MT // Type of the target dense matrix
422  , bool SO2 > // Storage order of the target dense matrix
423  friend inline typename EnableIf< UseSMPAssign<MT> >::Type
424  smpAssign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
425  {
427 
428  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
429  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
430 
431  if( !IsExpression<MT1>::value && isSame( ~lhs, rhs.lhs_ ) ) {
432  smpAddAssign( ~lhs, rhs.rhs_ );
433  }
434  else {
435  smpAssign ( ~lhs, rhs.lhs_ );
436  smpAddAssign( ~lhs, rhs.rhs_ );
437  }
438  }
440  //**********************************************************************************************
441 
442  //**SMP assignment to sparse matrices***********************************************************
456  template< typename MT // Type of the target sparse matrix
457  , bool SO2 > // Storage order of the target sparse matrix
458  friend inline typename EnableIf< UseSMPAssign<MT> >::Type
459  smpAssign( SparseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
460  {
462 
463  typedef typename SelectType< SO2, ResultType, OppositeType >::Type TmpType;
464 
471 
472  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
473  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
474 
475  const TmpType tmp( rhs );
476  smpAssign( ~lhs, tmp );
477  }
479  //**********************************************************************************************
480 
481  //**SMP addition assignment to dense matrices***************************************************
496  template< typename MT // Type of the target dense matrix
497  , bool SO2 > // Storage order of the target dense matrix
498  friend inline typename EnableIf< UseSMPAssign<MT> >::Type
499  smpAddAssign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
500  {
502 
503  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
504  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
505 
506  smpAddAssign( ~lhs, rhs.lhs_ );
507  smpAddAssign( ~lhs, rhs.rhs_ );
508  }
510  //**********************************************************************************************
511 
512  //**SMP addition assignment to sparse matrices**************************************************
513  // No special implementation for the SMP addition assignment to sparse matrices.
514  //**********************************************************************************************
515 
516  //**SMP subtraction assignment to dense matrices************************************************
531  template< typename MT // Type of the target dense matrix
532  , bool SO2 > // Storage order of the target dense matrix
533  friend inline typename EnableIf< UseSMPAssign<MT> >::Type
534  smpSubAssign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
535  {
537 
538  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
539  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
540 
541  smpSubAssign( ~lhs, rhs.lhs_ );
542  smpSubAssign( ~lhs, rhs.rhs_ );
543  }
545  //**********************************************************************************************
546 
547  //**SMP subtraction assignment to sparse matrices***********************************************
548  // No special implementation for the SMP subtraction assignment to sparse matrices.
549  //**********************************************************************************************
550 
551  //**SMP multiplication assignment to dense matrices*********************************************
552  // No special implementation for the SMP multiplication assignment to dense matrices.
553  //**********************************************************************************************
554 
555  //**SMP multiplication assignment to sparse matrices********************************************
556  // No special implementation for the SMP multiplication assignment to sparse matrices.
557  //**********************************************************************************************
558 
559  //**Compile time checks*************************************************************************
567  //**********************************************************************************************
568 };
569 //*************************************************************************************************
570 
571 
572 
573 
574 //=================================================================================================
575 //
576 // GLOBAL BINARY ARITHMETIC OPERATORS
577 //
578 //=================================================================================================
579 
580 //*************************************************************************************************
611 template< typename T1 // Type of the left-hand side dense matrix
612  , typename T2 > // Type of the right-hand side sparse matrix
613 const TDMatSMatAddExpr<T1,T2>
615 {
617 
618  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
619  throw std::invalid_argument( "Matrix sizes do not match" );
620 
621  return TDMatSMatAddExpr<T1,T2>( ~lhs, ~rhs );
622 }
623 //*************************************************************************************************
624 
625 
626 //*************************************************************************************************
657 template< typename T1 // Type of the left-hand side dense matrix
658  , typename T2 > // Type of the right-hand side sparse matrix
659 const TDMatSMatAddExpr<T1,T2>
661 {
663 
664  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
665  throw std::invalid_argument( "Matrix sizes do not match" );
666 
667  return TDMatSMatAddExpr<T1,T2>( ~rhs, ~lhs );
668 }
669 //*************************************************************************************************
670 
671 
672 
673 
674 //=================================================================================================
675 //
676 // GLOBAL RESTRUCTURING BINARY ARITHMETIC OPERATORS
677 //
678 //=================================================================================================
679 
680 //*************************************************************************************************
693 template< typename T1 // Type of the dense matrix of the left-hand side expression
694  , typename T2 // Type of the sparse matrix of the left-hand side expression
695  , typename T3 // Type of the right-hand side dense matrix
696  , bool SO > // Storage order of the right-hand side dense matrix
697 inline const typename AddExprTrait< TDMatSMatAddExpr<T1,T2>, T3 >::Type
698  operator+( const TDMatSMatAddExpr<T1,T2>& lhs, const DenseMatrix<T3,SO>& rhs )
699 {
701 
702  return ( lhs.leftOperand() + (~rhs) ) + lhs.rightOperand();
703 }
705 //*************************************************************************************************
706 
707 
708 //*************************************************************************************************
721 template< typename T1 // Type of the dense matrix of the left-hand side expression
722  , typename T2 // Type of the sparse matrix of the left-hand side expression
723  , typename T3 // Type of the right-hand side dense matrix
724  , bool SO > // Storage order of the right-hand side dense matrix
725 inline const typename SubExprTrait< TDMatSMatAddExpr<T1,T2>, T3 >::Type
726  operator-( const TDMatSMatAddExpr<T1,T2>& lhs, const DenseMatrix<T3,SO>& rhs )
727 {
729 
730  return ( lhs.leftOperand() - (~rhs) ) + lhs.rightOperand();
731 }
733 //*************************************************************************************************
734 
735 
736 
737 
738 //=================================================================================================
739 //
740 // ROWS SPECIALIZATIONS
741 //
742 //=================================================================================================
743 
744 //*************************************************************************************************
746 template< typename MT1, typename MT2 >
747 struct Rows< TDMatSMatAddExpr<MT1,MT2> >
748  : public Max< Rows<MT1>, Rows<MT2> >::Type
749 {};
751 //*************************************************************************************************
752 
753 
754 
755 
756 //=================================================================================================
757 //
758 // COLUMNS SPECIALIZATIONS
759 //
760 //=================================================================================================
761 
762 //*************************************************************************************************
764 template< typename MT1, typename MT2 >
765 struct Columns< TDMatSMatAddExpr<MT1,MT2> >
766  : public Max< Columns<MT1>, Columns<MT2> >::Type
767 {};
769 //*************************************************************************************************
770 
771 
772 
773 
774 //=================================================================================================
775 //
776 // ISSYMMETRIC SPECIALIZATIONS
777 //
778 //=================================================================================================
779 
780 //*************************************************************************************************
782 template< typename MT1, typename MT2 >
783 struct IsSymmetric< TDMatSMatAddExpr<MT1,MT2> >
784  : public IsTrue< IsSymmetric<MT1>::value && IsSymmetric<MT2>::value >
785 {};
787 //*************************************************************************************************
788 
789 
790 
791 
792 //=================================================================================================
793 //
794 // ISLOWER SPECIALIZATIONS
795 //
796 //=================================================================================================
797 
798 //*************************************************************************************************
800 template< typename MT1, typename MT2 >
801 struct IsLower< TDMatSMatAddExpr<MT1,MT2> >
802  : public IsTrue< And< IsLower<MT1>, IsLower<MT2> >::value >
803 {};
805 //*************************************************************************************************
806 
807 
808 
809 
810 //=================================================================================================
811 //
812 // ISUNILOWER SPECIALIZATIONS
813 //
814 //=================================================================================================
815 
816 //*************************************************************************************************
818 template< typename MT1, typename MT2 >
819 struct IsUniLower< TDMatSMatAddExpr<MT1,MT2> >
820  : public IsTrue< Or< And< IsUniLower<MT1>, IsStrictlyLower<MT2> >
821  , And< IsUniLower<MT2>, IsStrictlyLower<MT1> > >::value >
822 {};
824 //*************************************************************************************************
825 
826 
827 
828 
829 //=================================================================================================
830 //
831 // ISSTRICTLYLOWER SPECIALIZATIONS
832 //
833 //=================================================================================================
834 
835 //*************************************************************************************************
837 template< typename MT1, typename MT2 >
838 struct IsStrictlyLower< TDMatSMatAddExpr<MT1,MT2> >
839  : public IsTrue< And< IsStrictlyLower<MT1>, IsStrictlyLower<MT2> >::value >
840 {};
842 //*************************************************************************************************
843 
844 
845 
846 
847 //=================================================================================================
848 //
849 // ISUPPER SPECIALIZATIONS
850 //
851 //=================================================================================================
852 
853 //*************************************************************************************************
855 template< typename MT1, typename MT2 >
856 struct IsUpper< TDMatSMatAddExpr<MT1,MT2> >
857  : public IsTrue< And< IsUpper<MT1>, IsUpper<MT2> >::value >
858 {};
860 //*************************************************************************************************
861 
862 
863 
864 
865 //=================================================================================================
866 //
867 // ISUNIUPPER SPECIALIZATIONS
868 //
869 //=================================================================================================
870 
871 //*************************************************************************************************
873 template< typename MT1, typename MT2 >
874 struct IsUniUpper< TDMatSMatAddExpr<MT1,MT2> >
875  : public IsTrue< Or< And< IsUniUpper<MT1>, IsStrictlyUpper<MT2> >
876  , And< IsUniUpper<MT2>, IsStrictlyUpper<MT1> > >::value >
877 {};
879 //*************************************************************************************************
880 
881 
882 
883 
884 //=================================================================================================
885 //
886 // ISSTRICTLYUPPER SPECIALIZATIONS
887 //
888 //=================================================================================================
889 
890 //*************************************************************************************************
892 template< typename MT1, typename MT2 >
893 struct IsStrictlyUpper< TDMatSMatAddExpr<MT1,MT2> >
894  : public IsTrue< And< IsStrictlyUpper<MT1>, IsStrictlyUpper<MT2> >::value >
895 {};
897 //*************************************************************************************************
898 
899 
900 
901 
902 //=================================================================================================
903 //
904 // EXPRESSION TRAIT SPECIALIZATIONS
905 //
906 //=================================================================================================
907 
908 //*************************************************************************************************
910 template< typename MT1, typename MT2, typename MT3 >
911 struct DMatDMatAddExprTrait< TDMatSMatAddExpr<MT1,MT2>, MT3 >
912 {
913  public:
914  //**********************************************************************************************
916  typedef typename SelectType< IsDenseMatrix<MT1>::value && IsColumnMajorMatrix<MT1>::value &&
917  IsSparseMatrix<MT2>::value && IsRowMajorMatrix<MT2>::value &&
918  IsDenseMatrix<MT3>::value && IsRowMajorMatrix<MT3>::value
919  , typename DMatSMatAddExprTrait< typename TDMatDMatAddExprTrait<MT1,MT3>::Type, MT2 >::Type
920  , INVALID_TYPE >::Type Type;
922  //**********************************************************************************************
923 };
925 //*************************************************************************************************
926 
927 
928 //*************************************************************************************************
930 template< typename MT1, typename MT2, typename MT3 >
931 struct DMatTDMatAddExprTrait< TDMatSMatAddExpr<MT1,MT2>, MT3 >
932 {
933  public:
934  //**********************************************************************************************
936  typedef typename SelectType< IsDenseMatrix<MT1>::value && IsColumnMajorMatrix<MT1>::value &&
937  IsSparseMatrix<MT2>::value && IsRowMajorMatrix<MT2>::value &&
938  IsDenseMatrix<MT3>::value && IsColumnMajorMatrix<MT3>::value
939  , typename TDMatSMatAddExprTrait< typename TDMatTDMatAddExprTrait<MT1,MT3>::Type, MT2 >::Type
940  , INVALID_TYPE >::Type Type;
942  //**********************************************************************************************
943 };
945 //*************************************************************************************************
946 
947 
948 //*************************************************************************************************
950 template< typename MT1, typename MT2, typename MT3 >
951 struct DMatDMatSubExprTrait< TDMatSMatAddExpr<MT1,MT2>, MT3 >
952 {
953  public:
954  //**********************************************************************************************
956  typedef typename SelectType< IsDenseMatrix<MT1>::value && IsColumnMajorMatrix<MT1>::value &&
957  IsSparseMatrix<MT2>::value && IsRowMajorMatrix<MT2>::value &&
958  IsDenseMatrix<MT3>::value && IsRowMajorMatrix<MT3>::value
959  , typename DMatSMatAddExprTrait< typename TDMatDMatSubExprTrait<MT1,MT3>::Type, MT2 >::Type
960  , INVALID_TYPE >::Type Type;
962  //**********************************************************************************************
963 };
965 //*************************************************************************************************
966 
967 
968 //*************************************************************************************************
970 template< typename MT1, typename MT2, typename MT3 >
971 struct DMatTDMatSubExprTrait< TDMatSMatAddExpr<MT1,MT2>, MT3 >
972 {
973  public:
974  //**********************************************************************************************
976  typedef typename SelectType< IsDenseMatrix<MT1>::value && IsColumnMajorMatrix<MT1>::value &&
977  IsSparseMatrix<MT2>::value && IsRowMajorMatrix<MT2>::value &&
978  IsDenseMatrix<MT3>::value && IsColumnMajorMatrix<MT3>::value
979  , typename TDMatSMatAddExprTrait< typename TDMatTDMatSubExprTrait<MT1,MT3>::Type, MT2 >::Type
980  , INVALID_TYPE >::Type Type;
982  //**********************************************************************************************
983 };
985 //*************************************************************************************************
986 
987 
988 //*************************************************************************************************
990 template< typename MT1, typename MT2, bool AF >
991 struct SubmatrixExprTrait< TDMatSMatAddExpr<MT1,MT2>, AF >
992 {
993  public:
994  //**********************************************************************************************
995  typedef typename AddExprTrait< typename SubmatrixExprTrait<const MT1,AF>::Type
996  , typename SubmatrixExprTrait<const MT2,AF>::Type >::Type Type;
997  //**********************************************************************************************
998 };
1000 //*************************************************************************************************
1001 
1002 
1003 //*************************************************************************************************
1005 template< typename MT1, typename MT2 >
1006 struct RowExprTrait< TDMatSMatAddExpr<MT1,MT2> >
1007 {
1008  public:
1009  //**********************************************************************************************
1010  typedef typename AddExprTrait< typename RowExprTrait<const MT1>::Type
1011  , typename RowExprTrait<const MT2>::Type >::Type Type;
1012  //**********************************************************************************************
1013 };
1015 //*************************************************************************************************
1016 
1017 
1018 //*************************************************************************************************
1020 template< typename MT1, typename MT2 >
1021 struct ColumnExprTrait< TDMatSMatAddExpr<MT1,MT2> >
1022 {
1023  public:
1024  //**********************************************************************************************
1025  typedef typename AddExprTrait< typename ColumnExprTrait<const MT1>::Type
1026  , typename ColumnExprTrait<const MT2>::Type >::Type Type;
1027  //**********************************************************************************************
1028 };
1030 //*************************************************************************************************
1031 
1032 } // namespace blaze
1033 
1034 #endif
Header file for the Max class template.
Evaluation of the return type of an addition expression.Via this type trait it is possible to evaluat...
Definition: AddExprTrait.h:104
Compile time check whether the given type is a temporary vector or matrix type.This type trait class ...
Definition: IsTemporary.h:87
Header file for the Rows type trait.
Header file for the IsUniUpper type trait.
ResultType::OppositeType OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: TDMatSMatAddExpr.h:142
Header file for basic type definitions.
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: TDMatSMatAddExpr.h:243
MT2::ReturnType RN2
Return type of the right-hand side sparse matrix expression.
Definition: TDMatSMatAddExpr.h:108
Efficient implementation of a compressed matrix.The CompressedMatrix class template is the represent...
Definition: CompressedMatrix.h:209
#define BLAZE_CONSTRAINT_MUST_BE_DENSE_MATRIX_TYPE(T)
Constraint on the data type.In case the given data type T is not a dense, N-dimensional matrix type...
Definition: DenseMatrix.h:79
BLAZE_ALWAYS_INLINE bool isSame(const Matrix< MT1, SO1 > &a, const Matrix< MT2, SO2 > &b)
Returns whether the two given matrices represent the same observable state.
Definition: Matrix.h:946
Header file for the ColumnExprTrait class template.
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: TDMatSMatAddExpr.h:143
size_t rows() const
Returns the current number of rows of the matrix.
Definition: TDMatSMatAddExpr.h:201
const This & CompositeType
Data type for composite expression templates.
Definition: CompressedMatrix.h:2507
Type ElementType
Type of the sparse matrix elements.
Definition: CompressedMatrix.h:261
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: TDMatSMatAddExpr.h:256
Header file for the And class template.
Header file for the AddExprTrait class template.
const DMatSerialExpr< MT, SO > serial(const DenseMatrix< MT, SO > &dm)
Forces the serial evaluation of the given dense matrix expression dm.
Definition: DMatSerialExpr.h:699
Header file for the Computation base class.
AddTrait< RT1, RT2 >::Type ResultType
Result type for expression template evaluations.
Definition: TDMatSMatAddExpr.h:141
MT1::ResultType RT1
Result type of the left-hand side dense matrix expression.
Definition: TDMatSMatAddExpr.h:105
Header file for the IsUniLower type trait.
Base class for dense matrices.The DenseMatrix class is a base class for all dense matrix classes...
Definition: DenseMatrix.h:70
Base class for sparse matrices.The SparseMatrix class is a base class for all sparse matrix classes...
Definition: Forward.h:107
LeftOperand lhs_
Left-hand side dense matrix of the addition expression.
Definition: TDMatSMatAddExpr.h:263
ResultType::ElementType ElementType
Resulting element type.
Definition: TDMatSMatAddExpr.h:144
Constraint on the data type.
Constraint on the data type.
Constraint on the data type.
Compile time type selection.The SelectType class template selects one of the two given types T1 and T...
Definition: SelectType.h:59
Header file for the IsTemporary type trait class.
Header file for the IsStrictlyUpper type trait.
Header file for the IsSymmetric type trait.
Namespace of the Blaze C++ math library.
Definition: Blaze.h:57
#define BLAZE_CONSTRAINT_MUST_BE_COLUMN_MAJOR_MATRIX_TYPE(T)
Constraint on the data type.In case the given data type T is not a column-major dense or sparse matri...
Definition: StorageOrder.h:161
RightOperand rhs_
Right-hand side sparse matrix of the addition expression.
Definition: TDMatSMatAddExpr.h:264
Header file for the Or class template.
LeftOperand leftOperand() const
Returns the left-hand side transpose dense matrix operand.
Definition: TDMatSMatAddExpr.h:221
Header file for the DenseMatrix base class.
BLAZE_ALWAYS_INLINE void assign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the assignment of a matrix to a matrix.
Definition: Matrix.h:635
Header file for the Columns type trait.
const DenseIterator< Type > operator+(const DenseIterator< Type > &it, ptrdiff_t inc)
Addition between a DenseIterator and an integral value.
Definition: DenseIterator.h:556
Header file for the IsLower type trait.
ReturnType operator()(size_t i, size_t j) const
2D-access to the matrix elements.
Definition: TDMatSMatAddExpr.h:189
MT1::ReturnType RN1
Return type of the left-hand side dense matrix expression.
Definition: TDMatSMatAddExpr.h:107
#define BLAZE_CONSTRAINT_MUST_BE_REFERENCE_TYPE(T)
Constraint on the data type.In case the given data type T is not a reference type, a compilation error is created.
Definition: Reference.h:78
Constraints on the storage order of matrix types.
#define BLAZE_CONSTRAINT_MUST_FORM_VALID_MATMATADDEXPR(T1, T2)
Constraint on the data type.In case the given data types T1 and T2 do not form a valid matrix/matrix ...
Definition: MatMatAddExpr.h:165
Header file for the SelectType class template.
Header file for the RowExprTrait class template.
Header file for all forward declarations for expression class templates.
Header file for the EnableIf class template.
Header file for the IsStrictlyLower type trait.
MT2::ResultType RT2
Result type of the right-hand side sparse matrix expression.
Definition: TDMatSMatAddExpr.h:106
Header file for the serial shim.
EnableIf< IsDenseMatrix< MT1 > >::Type smpSubAssign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the SMP subtraction assignment of a matrix to dense matrix.
Definition: DenseMatrix.h:160
const ResultType CompositeType
Data type for composite expression templates.
Definition: TDMatSMatAddExpr.h:150
Header file for the SubmatrixExprTrait class template.
#define BLAZE_CONSTRAINT_MUST_BE_ROW_MAJOR_MATRIX_TYPE(T)
Constraint on the data type.In case the given data type T is not a row-major dense or sparse matrix t...
Definition: StorageOrder.h:81
const Type & ReturnType
Return type for expression template evaluations.
Definition: CompressedMatrix.h:2506
Header file for run time assertion macros.
Base template for the AddTrait class.
Definition: AddTrait.h:150
EnableIf< IsDenseMatrix< MT1 > >::Type smpAssign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the SMP assignment of a matrix to a dense matrix.
Definition: DenseMatrix.h:98
Header file for the addition trait.
BLAZE_ALWAYS_INLINE void addAssign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the addition assignment of a matrix to a matrix.
Definition: Matrix.h:742
Constraint on the data type.
const DenseIterator< Type > operator-(const DenseIterator< Type > &it, ptrdiff_t inc)
Subtraction between a DenseIterator and an integral value.
Definition: DenseIterator.h:585
TDMatSMatAddExpr< MT1, MT2 > This
Type of this TDMatSMatAddExpr instance.
Definition: TDMatSMatAddExpr.h:140
const SelectType< returnExpr, ExprReturnType, ElementType >::Type ReturnType
Return type for expression template evaluations.
Definition: TDMatSMatAddExpr.h:147
Header file for the MatMatAddExpr base class.
size_t columns() const
Returns the current number of columns of the matrix.
Definition: TDMatSMatAddExpr.h:211
#define BLAZE_CONSTRAINT_MATRICES_MUST_HAVE_SAME_STORAGE_ORDER(T1, T2)
Constraint on the data type.In case either of the two given data types T1 or T2 is not a matrix type ...
Definition: StorageOrder.h:283
AddExprTrait< RN1, RN2 >::Type ExprReturnType
Expression return type for the subscript operator.
Definition: TDMatSMatAddExpr.h:121
RightOperand rightOperand() const
Returns the right-hand side sparse matrix operand.
Definition: TDMatSMatAddExpr.h:231
TDMatSMatAddExpr(const MT1 &lhs, const MT2 &rhs)
Constructor for the TDMatSMatAddExpr class.
Definition: TDMatSMatAddExpr.h:173
EnableIf< IsDenseMatrix< MT1 > >::Type smpAddAssign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the SMP addition assignment of a matrix to a dense matrix.
Definition: DenseMatrix.h:129
Expression object for dense matrix-sparse matrix additions.The TDMatSMatAddExpr class represents the ...
Definition: Forward.h:127
#define BLAZE_FUNCTION_TRACE
Function trace macro.This macro can be used to reliably trace function calls. In case function tracin...
Definition: FunctionTrace.h:157
This ResultType
Result type for expression template evaluations.
Definition: CompressedMatrix.h:2502
Header file for the IsTrue value trait.
Header file for the IsUpper type trait.
Header file for the SubExprTrait class template.
SelectType< IsExpression< MT1 >::value, const MT1, const MT1 & >::Type LeftOperand
Composite type of the left-hand side dense matrix expression.
Definition: TDMatSMatAddExpr.h:153
SelectType< IsExpression< MT2 >::value, const MT2, const MT2 & >::Type RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: TDMatSMatAddExpr.h:156
#define BLAZE_INTERNAL_ASSERT(expr, msg)
Run time assertion macro for internal checks.In case of an invalid run time expression, the program execution is terminated. The BLAZE_INTERNAL_ASSERT macro can be disabled by setting the BLAZE_USER_ASSERTION flag to zero or by defining NDEBUG during the compilation.
Definition: Assert.h:101
#define BLAZE_CONSTRAINT_MUST_BE_SPARSE_MATRIX_TYPE(T)
Constraint on the data type.In case the given data type T is not a sparse, N-dimensional matrix type...
Definition: SparseMatrix.h:79
Compile time check whether the given type is an expression template.This type trait class tests wheth...
Definition: IsExpression.h:87
Header file for the IsExpression type trait class.
Header file for the FunctionTrace class.
BLAZE_ALWAYS_INLINE void subAssign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the subtraction assignment of a matrix to matrix.
Definition: Matrix.h:849