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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>
66 #include <blaze/util/Assert.h>
68 #include <blaze/util/EnableIf.h>
70 #include <blaze/util/mpl/Max.h>
71 #include <blaze/util/SelectType.h>
72 #include <blaze/util/Types.h>
74 
75 
76 namespace blaze {
77 
78 //=================================================================================================
79 //
80 // CLASS TDMATSMATADDEXPR
81 //
82 //=================================================================================================
83 
84 //*************************************************************************************************
91 template< typename MT1 // Type of the left-hand side dense matrix
92  , typename MT2 > // Type of the right-hand side sparse matrix
93 class TDMatSMatAddExpr : public DenseMatrix< TDMatSMatAddExpr<MT1,MT2>, true >
94  , private MatMatAddExpr
95  , private Computation
96 {
97  private:
98  //**Type definitions****************************************************************************
99  typedef typename MT1::ResultType RT1;
100  typedef typename MT2::ResultType RT2;
101  typedef typename MT1::ReturnType RN1;
102  typedef typename MT2::ReturnType RN2;
103  //**********************************************************************************************
104 
105  //**Return type evaluation**********************************************************************
107 
112  enum { returnExpr = !IsTemporary<RN1>::value && !IsTemporary<RN2>::value };
113 
116  //**********************************************************************************************
117 
118  //**Parallel evaluation strategy****************************************************************
120 
125  template< typename MT >
126  struct UseSMPAssign {
127  enum { value = ( !MT1::smpAssignable || !MT2::smpAssignable ) };
128  };
130  //**********************************************************************************************
131 
132  public:
133  //**Type definitions****************************************************************************
139 
142 
144  typedef const ResultType CompositeType;
145 
147  typedef typename SelectType< IsExpression<MT1>::value, const MT1, const MT1& >::Type LeftOperand;
148 
150  typedef typename SelectType< IsExpression<MT2>::value, const MT2, const MT2& >::Type RightOperand;
151  //**********************************************************************************************
152 
153  //**Compilation flags***************************************************************************
155  enum { vectorizable = 0 };
156 
158  enum { smpAssignable = 0 };
159  //**********************************************************************************************
160 
161  //**Constructor*********************************************************************************
167  explicit inline TDMatSMatAddExpr( const MT1& lhs, const MT2& rhs )
168  : lhs_( lhs ) // Left-hand side dense matrix of the addition expression
169  , rhs_( rhs ) // Right-hand side sparse matrix of the addition expression
170  {
171  BLAZE_INTERNAL_ASSERT( lhs.rows() == rhs.rows() , "Invalid number of rows" );
172  BLAZE_INTERNAL_ASSERT( lhs.columns() == rhs.columns(), "Invalid number of columns" );
173  }
174  //**********************************************************************************************
175 
176  //**Access operator*****************************************************************************
183  inline ReturnType operator()( size_t i, size_t j ) const {
184  BLAZE_INTERNAL_ASSERT( i < lhs_.rows() , "Invalid row access index" );
185  BLAZE_INTERNAL_ASSERT( j < lhs_.columns(), "Invalid column access index" );
186  return lhs_(i,j) + rhs_(i,j);
187  }
188  //**********************************************************************************************
189 
190  //**Rows function*******************************************************************************
195  inline size_t rows() const {
196  return lhs_.rows();
197  }
198  //**********************************************************************************************
199 
200  //**Columns function****************************************************************************
205  inline size_t columns() const {
206  return lhs_.columns();
207  }
208  //**********************************************************************************************
209 
210  //**Left operand access*************************************************************************
215  inline LeftOperand leftOperand() const {
216  return lhs_;
217  }
218  //**********************************************************************************************
219 
220  //**Right operand access************************************************************************
225  inline RightOperand rightOperand() const {
226  return rhs_;
227  }
228  //**********************************************************************************************
229 
230  //**********************************************************************************************
236  template< typename T >
237  inline bool canAlias( const T* alias ) const {
238  return ( IsExpression<MT1>::value && lhs_.canAlias( alias ) ) ||
239  ( rhs_.canAlias( alias ) );
240  }
241  //**********************************************************************************************
242 
243  //**********************************************************************************************
249  template< typename T >
250  inline bool isAliased( const T* alias ) const {
251  return ( lhs_.isAliased( alias ) || rhs_.isAliased( alias ) );
252  }
253  //**********************************************************************************************
254 
255  private:
256  //**Member variables****************************************************************************
259  //**********************************************************************************************
260 
261  //**Assignment to dense matrices****************************************************************
273  template< typename MT // Type of the target dense matrix
274  , bool SO2 > // Storage order of the target dense matrix
275  friend inline void assign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
276  {
278 
279  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
280  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
281 
282  if( !IsExpression<MT1>::value && isSame( ~lhs, rhs.lhs_ ) ) {
283  addAssign( ~lhs, rhs.rhs_ );
284  }
285  else {
286  assign ( ~lhs, rhs.lhs_ );
287  addAssign( ~lhs, rhs.rhs_ );
288  }
289  }
291  //**********************************************************************************************
292 
293  //**Assignment to sparse matrices***************************************************************
305  template< typename MT // Type of the target sparse matrix
306  , bool SO2 > // Storage order of the target sparse matrix
307  friend inline void assign( SparseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
308  {
310 
311  typedef typename SelectType< SO2, ResultType, OppositeType >::Type TmpType;
312 
319 
320  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
321  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
322 
323  const TmpType tmp( serial( rhs ) );
324  assign( ~lhs, tmp );
325  }
327  //**********************************************************************************************
328 
329  //**Addition assignment to dense matrices*******************************************************
342  template< typename MT // Type of the target dense matrix
343  , bool SO2 > // Storage order of the target dense matrix
344  friend inline void addAssign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
345  {
347 
348  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
349  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
350 
351  addAssign( ~lhs, rhs.lhs_ );
352  addAssign( ~lhs, rhs.rhs_ );
353  }
355  //**********************************************************************************************
356 
357  //**Addition assignment to sparse matrices******************************************************
358  // No special implementation for the addition assignment to sparse matrices.
359  //**********************************************************************************************
360 
361  //**Subtraction assignment to dense matrices****************************************************
374  template< typename MT // Type of the target dense matrix
375  , bool SO2 > // Storage order of the target dense matrix
376  friend inline void subAssign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
377  {
379 
380  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
381  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
382 
383  subAssign( ~lhs, rhs.lhs_ );
384  subAssign( ~lhs, rhs.rhs_ );
385  }
387  //**********************************************************************************************
388 
389  //**Subtraction assignment to sparse matrices***************************************************
390  // No special implementation for the subtraction assignment to sparse matrices.
391  //**********************************************************************************************
392 
393  //**Multiplication assignment to dense matrices*************************************************
394  // No special implementation for the multiplication assignment to dense matrices.
395  //**********************************************************************************************
396 
397  //**Multiplication assignment to sparse matrices************************************************
398  // No special implementation for the multiplication assignment to sparse matrices.
399  //**********************************************************************************************
400 
401  //**SMP assignment to dense matrices************************************************************
415  template< typename MT // Type of the target dense matrix
416  , bool SO2 > // Storage order of the target dense matrix
417  friend inline typename EnableIf< UseSMPAssign<MT> >::Type
418  smpAssign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
419  {
421 
422  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
423  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
424 
425  if( !IsExpression<MT1>::value && isSame( ~lhs, rhs.lhs_ ) ) {
426  smpAddAssign( ~lhs, rhs.rhs_ );
427  }
428  else {
429  smpAssign ( ~lhs, rhs.lhs_ );
430  smpAddAssign( ~lhs, rhs.rhs_ );
431  }
432  }
434  //**********************************************************************************************
435 
436  //**SMP assignment to sparse matrices***********************************************************
450  template< typename MT // Type of the target sparse matrix
451  , bool SO2 > // Storage order of the target sparse matrix
452  friend inline typename EnableIf< UseSMPAssign<MT> >::Type
453  smpAssign( SparseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
454  {
456 
457  typedef typename SelectType< SO2, ResultType, OppositeType >::Type TmpType;
458 
465 
466  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
467  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
468 
469  const TmpType tmp( rhs );
470  smpAssign( ~lhs, tmp );
471  }
473  //**********************************************************************************************
474 
475  //**SMP addition assignment to dense matrices***************************************************
490  template< typename MT // Type of the target dense matrix
491  , bool SO2 > // Storage order of the target dense matrix
492  friend inline typename EnableIf< UseSMPAssign<MT> >::Type
493  smpAddAssign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
494  {
496 
497  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
498  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
499 
500  smpAddAssign( ~lhs, rhs.lhs_ );
501  smpAddAssign( ~lhs, rhs.rhs_ );
502  }
504  //**********************************************************************************************
505 
506  //**SMP addition assignment to sparse matrices**************************************************
507  // No special implementation for the SMP addition assignment to sparse matrices.
508  //**********************************************************************************************
509 
510  //**SMP subtraction assignment to dense matrices************************************************
525  template< typename MT // Type of the target dense matrix
526  , bool SO2 > // Storage order of the target dense matrix
527  friend inline typename EnableIf< UseSMPAssign<MT> >::Type
528  smpSubAssign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
529  {
531 
532  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
533  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
534 
535  smpSubAssign( ~lhs, rhs.lhs_ );
536  smpSubAssign( ~lhs, rhs.rhs_ );
537  }
539  //**********************************************************************************************
540 
541  //**SMP subtraction assignment to sparse matrices***********************************************
542  // No special implementation for the SMP subtraction assignment to sparse matrices.
543  //**********************************************************************************************
544 
545  //**SMP multiplication assignment to dense matrices*********************************************
546  // No special implementation for the SMP multiplication assignment to dense matrices.
547  //**********************************************************************************************
548 
549  //**SMP multiplication assignment to sparse matrices********************************************
550  // No special implementation for the SMP multiplication assignment to sparse matrices.
551  //**********************************************************************************************
552 
553  //**Compile time checks*************************************************************************
561  //**********************************************************************************************
562 };
563 //*************************************************************************************************
564 
565 
566 
567 
568 //=================================================================================================
569 //
570 // GLOBAL BINARY ARITHMETIC OPERATORS
571 //
572 //=================================================================================================
573 
574 //*************************************************************************************************
605 template< typename T1 // Type of the left-hand side dense matrix
606  , typename T2 > // Type of the right-hand side sparse matrix
607 const TDMatSMatAddExpr<T1,T2>
609 {
611 
612  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
613  throw std::invalid_argument( "Matrix sizes do not match" );
614 
615  return TDMatSMatAddExpr<T1,T2>( ~lhs, ~rhs );
616 }
617 //*************************************************************************************************
618 
619 
620 //*************************************************************************************************
651 template< typename T1 // Type of the left-hand side dense matrix
652  , typename T2 > // Type of the right-hand side sparse matrix
653 const TDMatSMatAddExpr<T1,T2>
655 {
657 
658  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
659  throw std::invalid_argument( "Matrix sizes do not match" );
660 
661  return TDMatSMatAddExpr<T1,T2>( ~rhs, ~lhs );
662 }
663 //*************************************************************************************************
664 
665 
666 
667 
668 //=================================================================================================
669 //
670 // GLOBAL RESTRUCTURING BINARY ARITHMETIC OPERATORS
671 //
672 //=================================================================================================
673 
674 //*************************************************************************************************
687 template< typename T1 // Type of the dense matrix of the left-hand side expression
688  , typename T2 // Type of the sparse matrix of the left-hand side expression
689  , typename T3 // Type of the right-hand side dense matrix
690  , bool SO > // Storage order of the right-hand side dense matrix
691 inline const typename AddExprTrait< TDMatSMatAddExpr<T1,T2>, T3 >::Type
692  operator+( const TDMatSMatAddExpr<T1,T2>& lhs, const DenseMatrix<T3,SO>& rhs )
693 {
695 
696  return ( lhs.leftOperand() + (~rhs) ) + lhs.rightOperand();
697 }
699 //*************************************************************************************************
700 
701 
702 //*************************************************************************************************
715 template< typename T1 // Type of the dense matrix of the left-hand side expression
716  , typename T2 // Type of the sparse matrix of the left-hand side expression
717  , typename T3 // Type of the right-hand side dense matrix
718  , bool SO > // Storage order of the right-hand side dense matrix
719 inline const typename SubExprTrait< TDMatSMatAddExpr<T1,T2>, T3 >::Type
720  operator-( const TDMatSMatAddExpr<T1,T2>& lhs, const DenseMatrix<T3,SO>& rhs )
721 {
723 
724  return ( lhs.leftOperand() - (~rhs) ) + lhs.rightOperand();
725 }
727 //*************************************************************************************************
728 
729 
730 
731 
732 //=================================================================================================
733 //
734 // ROWS SPECIALIZATIONS
735 //
736 //=================================================================================================
737 
738 //*************************************************************************************************
740 template< typename MT1, typename MT2 >
741 struct Rows< TDMatSMatAddExpr<MT1,MT2> >
742  : public Max< Rows<MT1>, Rows<MT2> >::Type
743 {};
745 //*************************************************************************************************
746 
747 
748 
749 
750 //=================================================================================================
751 //
752 // COLUMNS SPECIALIZATIONS
753 //
754 //=================================================================================================
755 
756 //*************************************************************************************************
758 template< typename MT1, typename MT2 >
759 struct Columns< TDMatSMatAddExpr<MT1,MT2> >
760  : public Max< Columns<MT1>, Columns<MT2> >::Type
761 {};
763 //*************************************************************************************************
764 
765 
766 
767 
768 //=================================================================================================
769 //
770 // ISSYMMETRIC SPECIALIZATIONS
771 //
772 //=================================================================================================
773 
774 //*************************************************************************************************
776 template< typename MT1, typename MT2 >
777 struct IsSymmetric< TDMatSMatAddExpr<MT1,MT2> >
778  : public IsTrue< IsSymmetric<MT1>::value && IsSymmetric<MT2>::value >
779 {};
781 //*************************************************************************************************
782 
783 
784 
785 
786 //=================================================================================================
787 //
788 // ISLOWER SPECIALIZATIONS
789 //
790 //=================================================================================================
791 
792 //*************************************************************************************************
794 template< typename MT1, typename MT2 >
795 struct IsLower< TDMatSMatAddExpr<MT1,MT2> >
796  : public IsTrue< IsLower<MT1>::value && IsLower<MT2>::value >
797 {};
799 //*************************************************************************************************
800 
801 
802 
803 
804 //=================================================================================================
805 //
806 // ISUPPER SPECIALIZATIONS
807 //
808 //=================================================================================================
809 
810 //*************************************************************************************************
812 template< typename MT1, typename MT2 >
813 struct IsUpper< TDMatSMatAddExpr<MT1,MT2> >
814  : public IsTrue< IsUpper<MT1>::value && IsUpper<MT2>::value >
815 {};
817 //*************************************************************************************************
818 
819 
820 
821 
822 //=================================================================================================
823 //
824 // EXPRESSION TRAIT SPECIALIZATIONS
825 //
826 //=================================================================================================
827 
828 //*************************************************************************************************
830 template< typename MT1, typename MT2, typename MT3 >
831 struct DMatDMatAddExprTrait< TDMatSMatAddExpr<MT1,MT2>, MT3 >
832 {
833  public:
834  //**********************************************************************************************
836  typedef typename SelectType< IsDenseMatrix<MT1>::value && IsColumnMajorMatrix<MT1>::value &&
837  IsSparseMatrix<MT2>::value && IsRowMajorMatrix<MT2>::value &&
838  IsDenseMatrix<MT3>::value && IsRowMajorMatrix<MT3>::value
839  , typename DMatSMatAddExprTrait< typename TDMatDMatAddExprTrait<MT1,MT3>::Type, MT2 >::Type
840  , INVALID_TYPE >::Type Type;
842  //**********************************************************************************************
843 };
845 //*************************************************************************************************
846 
847 
848 //*************************************************************************************************
850 template< typename MT1, typename MT2, typename MT3 >
851 struct DMatTDMatAddExprTrait< TDMatSMatAddExpr<MT1,MT2>, MT3 >
852 {
853  public:
854  //**********************************************************************************************
856  typedef typename SelectType< IsDenseMatrix<MT1>::value && IsColumnMajorMatrix<MT1>::value &&
857  IsSparseMatrix<MT2>::value && IsRowMajorMatrix<MT2>::value &&
858  IsDenseMatrix<MT3>::value && IsColumnMajorMatrix<MT3>::value
859  , typename TDMatSMatAddExprTrait< typename TDMatTDMatAddExprTrait<MT1,MT3>::Type, MT2 >::Type
860  , INVALID_TYPE >::Type Type;
862  //**********************************************************************************************
863 };
865 //*************************************************************************************************
866 
867 
868 //*************************************************************************************************
870 template< typename MT1, typename MT2, typename MT3 >
871 struct DMatDMatSubExprTrait< TDMatSMatAddExpr<MT1,MT2>, MT3 >
872 {
873  public:
874  //**********************************************************************************************
876  typedef typename SelectType< IsDenseMatrix<MT1>::value && IsColumnMajorMatrix<MT1>::value &&
877  IsSparseMatrix<MT2>::value && IsRowMajorMatrix<MT2>::value &&
878  IsDenseMatrix<MT3>::value && IsRowMajorMatrix<MT3>::value
879  , typename DMatSMatAddExprTrait< typename TDMatDMatSubExprTrait<MT1,MT3>::Type, MT2 >::Type
880  , INVALID_TYPE >::Type Type;
882  //**********************************************************************************************
883 };
885 //*************************************************************************************************
886 
887 
888 //*************************************************************************************************
890 template< typename MT1, typename MT2, typename MT3 >
891 struct DMatTDMatSubExprTrait< TDMatSMatAddExpr<MT1,MT2>, MT3 >
892 {
893  public:
894  //**********************************************************************************************
896  typedef typename SelectType< IsDenseMatrix<MT1>::value && IsColumnMajorMatrix<MT1>::value &&
897  IsSparseMatrix<MT2>::value && IsRowMajorMatrix<MT2>::value &&
898  IsDenseMatrix<MT3>::value && IsColumnMajorMatrix<MT3>::value
899  , typename TDMatSMatAddExprTrait< typename TDMatTDMatSubExprTrait<MT1,MT3>::Type, MT2 >::Type
900  , INVALID_TYPE >::Type Type;
902  //**********************************************************************************************
903 };
905 //*************************************************************************************************
906 
907 
908 //*************************************************************************************************
910 template< typename MT1, typename MT2, bool AF >
911 struct SubmatrixExprTrait< TDMatSMatAddExpr<MT1,MT2>, AF >
912 {
913  public:
914  //**********************************************************************************************
915  typedef typename AddExprTrait< typename SubmatrixExprTrait<const MT1,AF>::Type
916  , typename SubmatrixExprTrait<const MT2,AF>::Type >::Type Type;
917  //**********************************************************************************************
918 };
920 //*************************************************************************************************
921 
922 
923 //*************************************************************************************************
925 template< typename MT1, typename MT2 >
926 struct RowExprTrait< TDMatSMatAddExpr<MT1,MT2> >
927 {
928  public:
929  //**********************************************************************************************
930  typedef typename AddExprTrait< typename RowExprTrait<const MT1>::Type
931  , typename RowExprTrait<const MT2>::Type >::Type Type;
932  //**********************************************************************************************
933 };
935 //*************************************************************************************************
936 
937 
938 //*************************************************************************************************
940 template< typename MT1, typename MT2 >
941 struct ColumnExprTrait< TDMatSMatAddExpr<MT1,MT2> >
942 {
943  public:
944  //**********************************************************************************************
945  typedef typename AddExprTrait< typename ColumnExprTrait<const MT1>::Type
946  , typename ColumnExprTrait<const MT2>::Type >::Type Type;
947  //**********************************************************************************************
948 };
950 //*************************************************************************************************
951 
952 } // namespace blaze
953 
954 #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.
MT2::ResultType RT2
Result type of the right-hand side sparse matrix expression.
Definition: TDMatSMatAddExpr.h:100
size_t columns() const
Returns the current number of columns of the matrix.
Definition: TDMatSMatAddExpr.h:205
MT1::ReturnType RN1
Return type of the left-hand side dense matrix expression.
Definition: TDMatSMatAddExpr.h:101
LeftOperand leftOperand() const
Returns the left-hand side transpose dense matrix operand.
Definition: TDMatSMatAddExpr.h:215
Efficient implementation of a compressed matrix.The CompressedMatrix class template is the represent...
Definition: CompressedMatrix.h:205
#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.
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: TDMatSMatAddExpr.h:250
const This & CompositeType
Data type for composite expression templates.
Definition: CompressedMatrix.h:2478
Type ElementType
Type of the sparse matrix elements.
Definition: CompressedMatrix.h:257
Header file for the AddExprTrait class template.
LeftOperand lhs_
Left-hand side dense matrix of the addition expression.
Definition: TDMatSMatAddExpr.h:257
const DMatSerialExpr< MT, SO > serial(const DenseMatrix< MT, SO > &dm)
Forces the serial evaluation of the given dense matrix expression dm.
Definition: DMatSerialExpr.h:695
Header file for the Computation base class.
RightOperand rhs_
Right-hand side sparse matrix of the addition expression.
Definition: TDMatSMatAddExpr.h:258
ReturnType operator()(size_t i, size_t j) const
2D-access to the matrix elements.
Definition: TDMatSMatAddExpr.h:183
TDMatSMatAddExpr(const MT1 &lhs, const MT2 &rhs)
Constructor for the TDMatSMatAddExpr class.
Definition: TDMatSMatAddExpr.h:167
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
Constraint on the data type.
ResultType::OppositeType OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: TDMatSMatAddExpr.h:136
SelectType< IsExpression< MT2 >::value, const MT2, const MT2 & >::Type RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: TDMatSMatAddExpr.h:150
Constraint on the data type.
Constraint on the data type.
MT1::ResultType RT1
Result type of the left-hand side dense matrix expression.
Definition: TDMatSMatAddExpr.h:99
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 IsSymmetric type trait.
#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
const SelectType< returnExpr, ExprReturnType, ElementType >::Type ReturnType
Return type for expression template evaluations.
Definition: TDMatSMatAddExpr.h:141
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.
#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.
AddTrait< RT1, RT2 >::Type ResultType
Result type for expression template evaluations.
Definition: TDMatSMatAddExpr.h:135
Header file for the EnableIf class template.
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
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:2477
Header file for run time assertion macros.
Base template for the AddTrait class.
Definition: AddTrait.h:142
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.
AddExprTrait< RN1, RN2 >::Type ExprReturnType
Expression return type for the subscript operator.
Definition: TDMatSMatAddExpr.h:115
const DenseIterator< Type > operator-(const DenseIterator< Type > &it, ptrdiff_t inc)
Subtraction between a DenseIterator and an integral value.
Definition: DenseIterator.h:585
const ResultType CompositeType
Data type for composite expression templates.
Definition: TDMatSMatAddExpr.h:144
Header file for the MatMatAddExpr base class.
#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
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: TDMatSMatAddExpr.h:137
size_t rows() const
Returns the current number of rows of the matrix.
Definition: TDMatSMatAddExpr.h:195
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: TDMatSMatAddExpr.h:237
RightOperand rightOperand() const
Returns the right-hand side sparse matrix operand.
Definition: TDMatSMatAddExpr.h:225
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:2473
Header file for the IsTrue value trait.
TDMatSMatAddExpr< MT1, MT2 > This
Type of this TDMatSMatAddExpr instance.
Definition: TDMatSMatAddExpr.h:134
Header file for basic type definitions.
SelectType< IsExpression< MT1 >::value, const MT1, const MT1 & >::Type LeftOperand
Composite type of the left-hand side dense matrix expression.
Definition: TDMatSMatAddExpr.h:147
Header file for the IsUpper type trait.
MT2::ReturnType RN2
Return type of the right-hand side sparse matrix expression.
Definition: TDMatSMatAddExpr.h:102
Header file for the SubExprTrait class template.
#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
ResultType::ElementType ElementType
Resulting element type.
Definition: TDMatSMatAddExpr.h:138
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