Blaze  3.6
SMatTSMatAddExpr.h
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1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_SMATTSMATADDEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_SMATTSMATADDEXPR_H_
37 
38 
39 //*************************************************************************************************
40 // Includes
41 //*************************************************************************************************
42 
43 #include <utility>
44 #include <blaze/math/Aliases.h>
52 #include <blaze/math/Exception.h>
67 #include <blaze/util/Assert.h>
68 #include <blaze/util/DisableIf.h>
69 #include <blaze/util/EnableIf.h>
72 #include <blaze/util/MaybeUnused.h>
73 #include <blaze/util/mpl/If.h>
74 #include <blaze/util/Types.h>
76 
77 
78 namespace blaze {
79 
80 //=================================================================================================
81 //
82 // CLASS SMATTSMATADDEXPR
83 //
84 //=================================================================================================
85 
86 //*************************************************************************************************
93 template< typename MT1 // Type of the left-hand side sparse matrix
94  , typename MT2 > // Type of the right-hand side sparse matrix
95 class SMatTSMatAddExpr
96  : public MatMatAddExpr< SparseMatrix< SMatTSMatAddExpr<MT1,MT2>, IsZero_v<MT1> > >
97  , private Computation
98 {
99  private:
100  //**Type definitions****************************************************************************
107  //**********************************************************************************************
108 
109  //**Return type evaluation**********************************************************************
111 
116  static constexpr bool returnExpr = !IsTemporary_v<RN1> && !IsTemporary_v<RN2>;
117 
119  using ExprReturnType = decltype( std::declval<RN1>() + std::declval<RN2>() );
120  //**********************************************************************************************
121 
122  //**Serial evaluation strategy******************************************************************
124 
129  template< typename T1, typename T2 >
130  static constexpr bool UseSymmetricKernel_v =
131  ( ( StorageOrder_v<T1> != StorageOrder_v<T2> ) && IsSymmetric_v<T2> );
133  //**********************************************************************************************
134 
135  //**Parallel evaluation strategy****************************************************************
137 
142  template< typename MT >
143  static constexpr bool UseSMPAssign_v = MT::smpAssignable;
145  //**********************************************************************************************
146 
147  public:
148  //**Type definitions****************************************************************************
151 
154 
159 
162 
164  using CompositeType = const ResultType;
165 
167  using LeftOperand = If_t< IsExpression_v<MT1>, const MT1, const MT1& >;
168 
170  using RightOperand = If_t< IsExpression_v<MT2>, const MT2, const MT2& >;
171  //**********************************************************************************************
172 
173  //**Compilation flags***************************************************************************
175  static constexpr bool smpAssignable = false;
176  //**********************************************************************************************
177 
178  //**Constructor*********************************************************************************
184  explicit inline SMatTSMatAddExpr( const MT1& lhs, const MT2& rhs ) noexcept
185  : lhs_( lhs ) // Left-hand side sparse matrix of the addition expression
186  , rhs_( rhs ) // Right-hand side sparse matrix of the addition expression
187  {
188  BLAZE_INTERNAL_ASSERT( lhs.rows() == rhs.rows() , "Invalid number of rows" );
189  BLAZE_INTERNAL_ASSERT( lhs.columns() == rhs.columns(), "Invalid number of columns" );
190  }
191  //**********************************************************************************************
192 
193  //**Access operator*****************************************************************************
200  inline ReturnType operator()( size_t i, size_t j ) const {
201  BLAZE_INTERNAL_ASSERT( i < lhs_.rows() , "Invalid row access index" );
202  BLAZE_INTERNAL_ASSERT( j < lhs_.columns(), "Invalid column access index" );
203  return lhs_(i,j) + rhs_(i,j);
204  }
205  //**********************************************************************************************
206 
207  //**At function*********************************************************************************
215  inline ReturnType at( size_t i, size_t j ) const {
216  if( i >= lhs_.rows() ) {
217  BLAZE_THROW_OUT_OF_RANGE( "Invalid row access index" );
218  }
219  if( j >= lhs_.columns() ) {
220  BLAZE_THROW_OUT_OF_RANGE( "Invalid column access index" );
221  }
222  return (*this)(i,j);
223  }
224  //**********************************************************************************************
225 
226  //**Rows function*******************************************************************************
231  inline size_t rows() const noexcept {
232  return lhs_.rows();
233  }
234  //**********************************************************************************************
235 
236  //**Columns function****************************************************************************
241  inline size_t columns() const noexcept {
242  return lhs_.columns();
243  }
244  //**********************************************************************************************
245 
246  //**NonZeros function***************************************************************************
251  inline size_t nonZeros() const {
252  return lhs_.nonZeros() + rhs_.nonZeros();
253  }
254  //**********************************************************************************************
255 
256  //**NonZeros function***************************************************************************
262  inline size_t nonZeros( size_t i ) const {
263  return lhs_.nonZeros(i) + rhs_.nonZeros(i);
264  }
265  //**********************************************************************************************
266 
267  //**Left operand access*************************************************************************
272  inline LeftOperand leftOperand() const noexcept {
273  return lhs_;
274  }
275  //**********************************************************************************************
276 
277  //**Right operand access************************************************************************
282  inline RightOperand rightOperand() const noexcept {
283  return rhs_;
284  }
285  //**********************************************************************************************
286 
287  //**********************************************************************************************
293  template< typename T >
294  inline bool canAlias( const T* alias ) const noexcept {
295  return ( lhs_.canAlias( alias ) || rhs_.canAlias( alias ) );
296  }
297  //**********************************************************************************************
298 
299  //**********************************************************************************************
305  template< typename T >
306  inline bool isAliased( const T* alias ) const noexcept {
307  return ( lhs_.isAliased( alias ) || rhs_.isAliased( alias ) );
308  }
309  //**********************************************************************************************
310 
311  private:
312  //**Member variables****************************************************************************
315  //**********************************************************************************************
316 
317  //**Assignment to dense matrices****************************************************************
329  template< typename MT // Type of the target dense matrix
330  , bool SO > // Storage order of the target dense matrix
331  friend inline void assign( DenseMatrix<MT,SO>& lhs, const SMatTSMatAddExpr& rhs )
332  {
334 
335  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
336  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
337 
338  assign( ~lhs, rhs.lhs_ );
339 
340  if( !IsResizable_v< ElementType_t<MT> > ) {
341  addAssign( ~lhs, rhs.rhs_ );
342  }
343  else
344  {
345  CT2 B( serial( rhs.rhs_ ) ); // Evaluation of the right-hand side sparse matrix operand
346 
347  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
348  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
349  BLAZE_INTERNAL_ASSERT( B.rows() == (~lhs).rows() , "Invalid number of rows" );
350  BLAZE_INTERNAL_ASSERT( B.columns() == (~lhs).columns() , "Invalid number of columns" );
351 
352  for( size_t j=0UL; j<(~lhs).columns(); ++j ) {
353  const auto end( B.end(j) );
354  for( auto element=B.begin(j); element!=end; ++element ) {
355  if( isDefault( (~lhs)(element->index(),j) ) )
356  (~lhs)(element->index(),j) = element->value();
357  else
358  (~lhs)(element->index(),j) += element->value();
359  }
360  }
361  }
362  }
364  //**********************************************************************************************
365 
366  //**Assignment to row-major sparse matrices*****************************************************
379  template< typename MT > // Type of the target sparse matrix
380  friend inline auto assign( SparseMatrix<MT,false>& lhs, const SMatTSMatAddExpr& rhs )
382  {
384 
385  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
386  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
387 
388  // Evaluation of the left-hand side sparse matrix operand
389  CT1 A( serial( rhs.lhs_ ) );
390 
391  // Evaluation of the right-hand side sparse matrix operand
392  const OppositeType_t<RT2> B( serial( rhs.rhs_ ) );
393 
394  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
395  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
396  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
397  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
398  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
399  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
400 
401  // Final memory allocation (based on the evaluated operands)
402  (~lhs).reserve( A.nonZeros() + B.nonZeros() );
403 
404  // Performing the matrix addition
405  for( size_t i=0UL; i<(~lhs).rows(); ++i )
406  {
407  const auto lend( A.end(i) );
408  const auto rend( B.end(i) );
409 
410  auto l( A.begin(i) );
411  auto r( B.begin(i) );
412 
413  while( l != lend && r != rend )
414  {
415  if( l->index() < r->index() ) {
416  (~lhs).append( i, l->index(), l->value() );
417  ++l;
418  }
419  else if( l->index() > r->index() ) {
420  (~lhs).append( i, r->index(), r->value() );
421  ++r;
422  }
423  else {
424  (~lhs).append( i, l->index(), l->value() + r->value() );
425  ++l;
426  ++r;
427  }
428  }
429 
430  while( l != lend ) {
431  (~lhs).append( i, l->index(), l->value() );
432  ++l;
433  }
434 
435  while( r != rend ) {
436  (~lhs).append( i, r->index(), r->value() );
437  ++r;
438  }
439 
440  (~lhs).finalize( i );
441  }
442  }
444  //**********************************************************************************************
445 
446  //**Assignment to row-major sparse matrices*****************************************************
459  template< typename MT > // Type of the target sparse matrix
460  friend inline auto assign( SparseMatrix<MT,false>& lhs, const SMatTSMatAddExpr& rhs )
461  -> EnableIf_t< UseSymmetricKernel_v<MT,MT2> >
462  {
464 
465  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
466  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
467 
468  assign( ~lhs, rhs.lhs_ + trans( rhs.rhs_ ) );
469  }
471  //**********************************************************************************************
472 
473  //**Assignment to column-major sparse matrices**************************************************
486  template< typename MT > // Type of the target sparse matrix
487  friend inline auto assign( SparseMatrix<MT,true>& lhs, const SMatTSMatAddExpr& rhs )
488  -> DisableIf_t< UseSymmetricKernel_v<MT,MT1> >
489  {
491 
493 
494  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
495  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
496 
497  // Evaluation of the left-hand side sparse matrix operand
498  const OppositeType_t<RT1> A( serial( rhs.lhs_ ) );
499 
500  // Evaluation of the right-hand side sparse matrix operand
501  CT2 B( serial( rhs.rhs_ ) );
502 
503  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
504  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
505  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
506  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
507  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
508  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
509 
510  // Final memory allocation (based on the evaluated operands)
511  (~lhs).reserve( A.nonZeros() + B.nonZeros() );
512 
513  // Performing the matrix addition
514  for( size_t j=0UL; j<(~lhs).columns(); ++j )
515  {
516  const auto lend( A.end(j) );
517  const auto rend( B.end(j) );
518 
519  auto l( A.begin(j) );
520  auto r( B.begin(j) );
521 
522  while( l != lend && r != rend )
523  {
524  if( l->index() < r->index() ) {
525  (~lhs).append( l->index(), j, l->value() );
526  ++l;
527  }
528  else if( l->index() > r->index() ) {
529  (~lhs).append( r->index(), j, r->value() );
530  ++r;
531  }
532  else {
533  (~lhs).append( l->index(), j, l->value() + r->value() );
534  ++l;
535  ++r;
536  }
537  }
538 
539  while( l != lend ) {
540  (~lhs).append( l->index(), j, l->value() );
541  ++l;
542  }
543 
544  while( r != rend ) {
545  (~lhs).append( r->index(), j, r->value() );
546  ++r;
547  }
548 
549  (~lhs).finalize( j );
550  }
551  }
553  //**********************************************************************************************
554 
555  //**Assignment to column-major sparse matrices**************************************************
568  template< typename MT > // Type of the target sparse matrix
569  friend inline auto assign( SparseMatrix<MT,true>& lhs, const SMatTSMatAddExpr& rhs )
570  -> EnableIf_t< UseSymmetricKernel_v<MT,MT1> >
571  {
573 
575 
576  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
577  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
578 
579  assign( ~lhs, trans( rhs.lhs_ ) + rhs.rhs_ );
580  }
582  //**********************************************************************************************
583 
584  //**Addition assignment to dense matrices*******************************************************
597  template< typename MT // Type of the target dense matrix
598  , bool SO > // Storage order of the target dense matrix
599  friend inline void addAssign( DenseMatrix<MT,SO>& lhs, const SMatTSMatAddExpr& rhs )
600  {
602 
603  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
604  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
605 
606  addAssign( ~lhs, rhs.lhs_ );
607  addAssign( ~lhs, rhs.rhs_ );
608  }
610  //**********************************************************************************************
611 
612  //**Addition assignment to sparse matrices******************************************************
613  // No special implementation for the addition assignment to sparse matrices.
614  //**********************************************************************************************
615 
616  //**Subtraction assignment to dense matrices****************************************************
629  template< typename MT // Type of the target dense matrix
630  , bool SO > // Storage order of the target dense matrix
631  friend inline void subAssign( DenseMatrix<MT,SO>& lhs, const SMatTSMatAddExpr& rhs )
632  {
634 
635  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
636  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
637 
638  subAssign( ~lhs, rhs.lhs_ );
639  subAssign( ~lhs, rhs.rhs_ );
640  }
642  //**********************************************************************************************
643 
644  //**Subtraction assignment to sparse matrices***************************************************
645  // No special implementation for the subtraction assignment to sparse matrices.
646  //**********************************************************************************************
647 
648  //**Schur product assignment to dense matrices**************************************************
661  template< typename MT // Type of the target dense matrix
662  , bool SO > // Storage order of the target dense matrix
663  friend inline void schurAssign( DenseMatrix<MT,SO>& lhs, const SMatTSMatAddExpr& rhs )
664  {
666 
669 
670  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
671  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
672 
673  const ResultType tmp( serial( rhs ) );
674  schurAssign( ~lhs, tmp );
675  }
677  //**********************************************************************************************
678 
679  //**Schur product assignment to sparse matrices*************************************************
680  // No special implementation for the Schur product assignment to sparse matrices.
681  //**********************************************************************************************
682 
683  //**Multiplication assignment to dense matrices*************************************************
684  // No special implementation for the multiplication assignment to dense matrices.
685  //**********************************************************************************************
686 
687  //**Multiplication assignment to sparse matrices************************************************
688  // No special implementation for the multiplication assignment to sparse matrices.
689  //**********************************************************************************************
690 
691  //**SMP assignment to dense matrices************************************************************
692  // No special implementation for the SMP assignment to dense matrices.
693  //**********************************************************************************************
694 
695  //**SMP assignment to sparse matrices***********************************************************
696  // No special implementation for the SMP assignment to sparse matrices.
697  //**********************************************************************************************
698 
699  //**SMP addition assignment to dense matrices***************************************************
714  template< typename MT // Type of the target dense matrix
715  , bool SO > // Storage order of the target dense matrix
716  friend inline auto smpAddAssign( DenseMatrix<MT,SO>& lhs, const SMatTSMatAddExpr& rhs )
717  -> EnableIf_t< UseSMPAssign_v<MT> >
718  {
720 
721  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
722  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
723 
724  smpAddAssign( ~lhs, rhs.lhs_ );
725  smpAddAssign( ~lhs, rhs.rhs_ );
726  }
728  //**********************************************************************************************
729 
730  //**SMP addition assignment to sparse matrices**************************************************
731  // No special implementation for the SMP addition assignment to sparse matrices.
732  //**********************************************************************************************
733 
734  //**SMP subtraction assignment to dense matrices************************************************
749  template< typename MT // Type of the target dense matrix
750  , bool SO > // Storage order of the target dense matrix
751  friend inline auto smpSubAssign( DenseMatrix<MT,SO>& lhs, const SMatTSMatAddExpr& rhs )
752  -> EnableIf_t< UseSMPAssign_v<MT> >
753  {
755 
756  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
757  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
758 
759  smpSubAssign( ~lhs, rhs.lhs_ );
760  smpSubAssign( ~lhs, rhs.rhs_ );
761  }
763  //**********************************************************************************************
764 
765  //**SMP subtraction assignment to sparse matrices***********************************************
766  // No special implementation for the SMP subtraction assignment to sparse matrices.
767  //**********************************************************************************************
768 
769  //**SMP Schur product assignment to dense matrices**********************************************
784  template< typename MT // Type of the target dense matrix
785  , bool SO > // Storage order of the target dense matrix
786  friend inline auto smpSchurAssign( DenseMatrix<MT,SO>& lhs, const SMatTSMatAddExpr& rhs )
787  -> EnableIf_t< UseSMPAssign_v<MT> >
788  {
790 
793 
794  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
795  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
796 
797  const ResultType tmp( rhs );
798  smpSchurAssign( ~lhs, tmp );
799  }
801  //**********************************************************************************************
802 
803  //**SMP Schur product assignment to sparse matrices*********************************************
804  // No special implementation for the SMP Schur product assignment to sparse matrices.
805  //**********************************************************************************************
806 
807  //**SMP multiplication assignment to dense matrices*********************************************
808  // No special implementation for the SMP multiplication assignment to dense matrices.
809  //**********************************************************************************************
810 
811  //**SMP multiplication assignment to sparse matrices********************************************
812  // No special implementation for the SMP multiplication assignment to sparse matrices.
813  //**********************************************************************************************
814 
815  //**Compile time checks*************************************************************************
823  //**********************************************************************************************
824 };
825 //*************************************************************************************************
826 
827 
828 
829 
830 //=================================================================================================
831 //
832 // GLOBAL BINARY ARITHMETIC OPERATORS
833 //
834 //=================================================================================================
835 
836 //*************************************************************************************************
849 template< typename MT1 // Type of the left-hand side sparse matrix
850  , typename MT2 // Type of the right-hand side sparse matrix
851  , DisableIf_t< ( ( IsZero_v<MT1> || IsZero_v<MT2> ) &&
852  IsSame_v< ElementType_t<MT1>, ElementType_t<MT2> > ) ||
853  ( IsZero_v<MT1> && IsZero_v<MT2> ) >* = nullptr >
854 inline const SMatTSMatAddExpr<MT1,MT2>
855  smattsmatadd( const SparseMatrix<MT1,false>& lhs, const SparseMatrix<MT2,true>& rhs )
856 {
858 
859  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == (~rhs).rows() , "Invalid number of rows" );
860  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == (~rhs).columns(), "Invalid number of columns" );
861 
862  return SMatTSMatAddExpr<MT1,MT2>( ~lhs, ~rhs );
863 }
865 //*************************************************************************************************
866 
867 
868 //*************************************************************************************************
882 template< typename MT1 // Type of the left-hand side sparse matrix
883  , typename MT2 // Type of the right-hand side sparse matrix
884  , EnableIf_t< !IsZero_v<MT1> && IsZero_v<MT2> &&
885  IsSame_v< ElementType_t<MT1>, ElementType_t<MT2> > >* = nullptr >
886 inline const MT1&
887  smattsmatadd( const SparseMatrix<MT1,false>& lhs, const SparseMatrix<MT2,true>& rhs )
888 {
890 
891  MAYBE_UNUSED( rhs );
892 
893  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == (~rhs).rows() , "Invalid number of rows" );
894  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == (~rhs).columns(), "Invalid number of columns" );
895 
896  return (~lhs);
897 }
899 //*************************************************************************************************
900 
901 
902 //*************************************************************************************************
916 template< typename MT1 // Type of the left-hand side sparse matrix
917  , typename MT2 // Type of the right-hand side sparse matrix
918  , EnableIf_t< IsZero_v<MT1> && !IsZero_v<MT2> &&
919  IsSame_v< ElementType_t<MT1>, ElementType_t<MT2> > >* = nullptr >
920 inline const MT2&
921  smattsmatadd( const SparseMatrix<MT1,false>& lhs, const SparseMatrix<MT2,true>& rhs )
922 {
924 
925  MAYBE_UNUSED( lhs );
926 
927  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == (~rhs).rows() , "Invalid number of rows" );
928  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == (~rhs).columns(), "Invalid number of columns" );
929 
930  return (~rhs);
931 }
933 //*************************************************************************************************
934 
935 
936 //*************************************************************************************************
949 template< typename MT1 // Type of the left-hand side sparse matrix
950  , typename MT2 // Type of the right-hand side sparse matrix
951  , EnableIf_t< IsZero_v<MT1> && IsZero_v<MT2> >* = nullptr >
952 inline decltype(auto)
953  smattsmatadd( const SparseMatrix<MT1,false>& lhs, const SparseMatrix<MT2,true>& rhs )
954 {
956 
957  MAYBE_UNUSED( rhs );
958 
959  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == (~rhs).rows() , "Invalid number of rows" );
960  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == (~rhs).columns(), "Invalid number of columns" );
961 
962  using ReturnType = const AddTrait_t< ResultType_t<MT1>, ResultType_t<MT2> >;
963 
966 
967  return ReturnType( (~lhs).rows(), (~lhs).columns() );
968 }
970 //*************************************************************************************************
971 
972 
973 //*************************************************************************************************
1002 template< typename MT1 // Type of the left-hand side sparse matrix
1003  , typename MT2 > // Type of the right-hand side sparse matrix
1004 inline decltype(auto)
1005  operator+( const SparseMatrix<MT1,false>& lhs, const SparseMatrix<MT2,true>& rhs )
1006 {
1008 
1009  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() ) {
1010  BLAZE_THROW_INVALID_ARGUMENT( "Matrix sizes do not match" );
1011  }
1012 
1013  return smattsmatadd( ~lhs, ~rhs );
1014 }
1015 //*************************************************************************************************
1016 
1017 
1018 //*************************************************************************************************
1047 template< typename MT1 // Type of the left-hand side sparse matrix
1048  , typename MT2 > // Type of the right-hand side sparse matrix
1049 inline decltype(auto)
1050  operator+( const SparseMatrix<MT1,true>& lhs, const SparseMatrix<MT2,false>& rhs )
1051 {
1053 
1054  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() ) {
1055  BLAZE_THROW_INVALID_ARGUMENT( "Matrix sizes do not match" );
1056  }
1057 
1058  return smattsmatadd( ~rhs, ~lhs );
1059 }
1060 //*************************************************************************************************
1061 
1062 } // namespace blaze
1063 
1064 #endif
#define BLAZE_THROW_INVALID_ARGUMENT(MESSAGE)
Macro for the emission of a std::invalid_argument exception.This macro encapsulates the default way o...
Definition: Exception.h:235
Header file for auxiliary alias declarations.
bool isAliased(const T *alias) const noexcept
Returns whether the expression is aliased with the given address alias.
Definition: SMatTSMatAddExpr.h:306
Header file for basic type definitions.
typename If< Condition, T1, T2 >::Type If_t
Auxiliary alias template for the If class template.The If_t alias template provides a convenient shor...
Definition: If.h:109
typename T::ResultType ResultType_t
Alias declaration for nested ResultType type definitions.The ResultType_t alias declaration provides ...
Definition: Aliases.h:390
CompositeType_t< MT1 > CT1
Composite type of the left-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:105
Header file for the serial shim.
Header file for the IsSame and IsStrictlySame type traits.
size_t columns() const noexcept
Returns the current number of columns of the matrix.
Definition: SMatTSMatAddExpr.h:241
Constraint on the data type.
Header file for the MAYBE_UNUSED function template.
Header file for the Computation base class.
Constraints on the storage order of matrix types.
typename T::ReturnType ReturnType_t
Alias declaration for nested ReturnType type definitions.The ReturnType_t alias declaration provides ...
Definition: Aliases.h:410
constexpr size_t columns(const Matrix< MT, SO > &matrix) noexcept
Returns the current number of columns of the matrix.
Definition: Matrix.h:514
Base class for dense matrices.The DenseMatrix class is a base class for all dense matrix classes....
Definition: DenseMatrix.h:81
Base class for sparse matrices.The SparseMatrix class is a base class for all sparse matrix classes....
Definition: Forward.h:145
typename T::ElementType ElementType_t
Alias declaration for nested ElementType type definitions.The ElementType_t alias declaration provide...
Definition: Aliases.h:170
LeftOperand lhs_
Left-hand side sparse matrix of the addition expression.
Definition: SMatTSMatAddExpr.h:313
TransposeType_t< ResultType > TransposeType
Transpose type for expression template evaluations.
Definition: SMatTSMatAddExpr.h:157
Header file for the SparseMatrix base class.
Constraint on the data type.
ReturnType_t< MT2 > RN2
Evaluation type of the right-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:104
constexpr bool IsResizable_v
Auxiliary variable template for the IsResizable type trait.The IsResizable_v variable template provid...
Definition: IsResizable.h:133
Header file for the DisableIf class template.
Header file for the IsTemporary type trait class.
decltype(std::declval< RN1 >()+std::declval< RN2 >()) ExprReturnType
Expression return type for the subscript operator.
Definition: SMatTSMatAddExpr.h:119
Header file for the IsSymmetric type trait.
Namespace of the Blaze C++ math library.
Definition: Blaze.h:58
Header file for the If class template.
#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: ColumnMajorMatrix.h:61
#define BLAZE_CONSTRAINT_MUST_BE_ZERO_TYPE(T)
Constraint on the data type.In case the given data type T is not a zero vector or matrix type,...
Definition: Zero.h:61
size_t rows() const noexcept
Returns the current number of rows of the matrix.
Definition: SMatTSMatAddExpr.h:231
#define BLAZE_THROW_OUT_OF_RANGE(MESSAGE)
Macro for the emission of a std::out_of_range exception.This macro encapsulates the default way of Bl...
Definition: Exception.h:331
If_t< IsExpression_v< MT2 >, const MT2, const MT2 & > RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:170
bool canAlias(const T *alias) const noexcept
Returns whether the expression can alias with the given address alias.
Definition: SMatTSMatAddExpr.h:294
const If_t< returnExpr, ExprReturnType, ElementType > ReturnType
Return type for expression template evaluations.
Definition: SMatTSMatAddExpr.h:161
constexpr void MAYBE_UNUSED(const Args &...)
Suppression of unused parameter warnings.
Definition: MaybeUnused.h:81
size_t nonZeros() const
Returns the number of non-zero elements in the sparse matrix.
Definition: SMatTSMatAddExpr.h:251
typename AddTrait< T1, T2 >::Type AddTrait_t
Auxiliary alias declaration for the AddTrait class template.The AddTrait_t alias declaration provides...
Definition: AddTrait.h:238
size_t nonZeros(size_t i) const
Returns the number of non-zero elements in the specified row.
Definition: SMatTSMatAddExpr.h:262
Header file for the exception macros of the math module.
MT::Iterator end(Matrix< MT, SO > &matrix, size_t i)
Returns an iterator just past the last element of row/column i.
Definition: Matrix.h:438
#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:103
static constexpr bool smpAssignable
Compilation switch for the expression template assignment strategy.
Definition: SMatTSMatAddExpr.h:175
Constraint on the data type.
Header file for the EnableIf class template.
const ResultType CompositeType
Data type for composite expression templates.
Definition: SMatTSMatAddExpr.h:164
typename T::OppositeType OppositeType_t
Alias declaration for nested OppositeType type definitions.The OppositeType_t alias declaration provi...
Definition: Aliases.h:270
OppositeType_t< ResultType > OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: SMatTSMatAddExpr.h:156
#define BLAZE_CONSTRAINT_MUST_NOT_BE_SYMMETRIC_MATRIX_TYPE(T)
Constraint on the data type.In case the given data type T is a symmetric matrix type,...
Definition: Symmetric.h:79
#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: RowMajorMatrix.h:61
typename T::TransposeType TransposeType_t
Alias declaration for nested TransposeType type definitions.The TransposeType_t alias declaration pro...
Definition: Aliases.h:470
Header file for run time assertion macros.
typename T::CompositeType CompositeType_t
Alias declaration for nested CompositeType type definitions.The CompositeType_t alias declaration pro...
Definition: Aliases.h:90
If_t< IsExpression_v< MT1 >, const MT1, const MT1 & > LeftOperand
Composite type of the left-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:167
Header file for the addition trait.
auto smpAddAssign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs) -> EnableIf_t< IsDenseMatrix_v< MT1 > >
Default implementation of the SMP addition assignment of a matrix to a dense matrix.
Definition: DenseMatrix.h:131
Constraint on the data type.
Header file for the IsZero type trait.
#define BLAZE_FUNCTION_TRACE
Function trace macro.This macro can be used to reliably trace function calls. In case function tracin...
Definition: FunctionTrace.h:94
Header file for all forward declarations for expression class templates.
AddTrait_t< RT1, RT2 > ResultType
Result type for expression template evaluations.
Definition: SMatTSMatAddExpr.h:155
ResultType_t< MT2 > RT2
Result type of the right-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:102
Header file for the isDefault shim.
ReturnType operator()(size_t i, size_t j) const
2D-access to the matrix elements.
Definition: SMatTSMatAddExpr.h:200
RightOperand rhs_
Right-hand side sparse matrix of the addition expression.
Definition: SMatTSMatAddExpr.h:314
Constraint on the data type.
Constraints on the storage order of matrix types.
static constexpr bool returnExpr
Compilation switch for the selection of the subscript operator return type.
Definition: SMatTSMatAddExpr.h:116
decltype(auto) serial(const DenseMatrix< MT, SO > &dm)
Forces the serial evaluation of the given dense matrix expression dm.
Definition: DMatSerialExpr.h:808
ReturnType at(size_t i, size_t j) const
Checked access to the matrix elements.
Definition: SMatTSMatAddExpr.h:215
RightOperand rightOperand() const noexcept
Returns the right-hand side transpose sparse matrix operand.
Definition: SMatTSMatAddExpr.h:282
#define BLAZE_CONSTRAINT_MUST_NOT_REQUIRE_EVALUATION(T)
Constraint on the data type.In case the given data type T requires an intermediate evaluation within ...
Definition: RequiresEvaluation.h:81
Header file for the MatMatAddExpr base class.
auto smpSchurAssign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs) -> EnableIf_t< IsDenseMatrix_v< MT1 > >
Default implementation of the SMP Schur product assignment of a matrix to dense matrix.
Definition: DenseMatrix.h:194
constexpr size_t rows(const Matrix< MT, SO > &matrix) noexcept
Returns the current number of rows of the matrix.
Definition: Matrix.h:498
ResultType_t< MT1 > RT1
Result type of the left-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:101
Expression object for sparse matrix-transpose sparse matrix additions.The SMatTSMatAddExpr class repr...
Definition: Forward.h:140
decltype(auto) trans(const DenseMatrix< MT, SO > &dm)
Calculation of the transpose of the given dense matrix.
Definition: DMatTransExpr.h:765
SMatTSMatAddExpr(const MT1 &lhs, const MT2 &rhs) noexcept
Constructor for the SMatTSMatAddExpr class.
Definition: SMatTSMatAddExpr.h:184
Header file for the IsComputation type trait class.
auto smpSubAssign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs) -> EnableIf_t< IsDenseMatrix_v< MT1 > >
Default implementation of the SMP subtraction assignment of a matrix to dense matrix.
Definition: DenseMatrix.h:162
Header file for the StorageOrder type trait.
Header file for the IntegralConstant class template.
bool isDefault(const DiagonalProxy< MT > &proxy)
Returns whether the represented element is in default state.
Definition: DiagonalProxy.h:635
CompositeType_t< MT2 > CT2
Composite type of the right-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:106
typename DisableIf< Condition, T >::Type DisableIf_t
Auxiliary type for the DisableIf class template.The DisableIf_t alias declaration provides a convenie...
Definition: DisableIf.h:138
LeftOperand leftOperand() const noexcept
Returns the left-hand side sparse matrix operand.
Definition: SMatTSMatAddExpr.h:272
ReturnType_t< MT1 > RN1
Evaluation type of the left-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:103
Header file for the IsResizable type trait.
constexpr bool IsSame_v
Auxiliary variable template for the IsSame type trait.The IsSame_v variable template provides a conve...
Definition: IsSame.h:159
#define BLAZE_INTERNAL_ASSERT(expr, msg)
Run time assertion macro for internal checks.In case of an invalid run time expression,...
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:61
Header file for the IsExpression type trait class.
Header file for the function trace functionality.
ElementType_t< ResultType > ElementType
Resulting element type.
Definition: SMatTSMatAddExpr.h:158