Blaze 3.9
TSMatTSMatAddExpr.h
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1//=================================================================================================
33//=================================================================================================
34
35#ifndef _BLAZE_MATH_EXPRESSIONS_TSMATTSMATADDEXPR_H_
36#define _BLAZE_MATH_EXPRESSIONS_TSMATTSMATADDEXPR_H_
37
38
39//*************************************************************************************************
40// Includes
41//*************************************************************************************************
42
43#include <utility>
44#include <blaze/math/Aliases.h>
65#include <blaze/util/Assert.h>
66#include <blaze/util/EnableIf.h>
70#include <blaze/util/mpl/If.h>
71#include <blaze/util/Types.h>
73
74
75namespace blaze {
76
77//=================================================================================================
78//
79// CLASS TSMATTSMATADDEXPR
80//
81//=================================================================================================
82
83//*************************************************************************************************
90template< typename MT1 // Type of the left-hand side sparse matrix
91 , typename MT2 > // Type of the right-hand side sparse matrix
93 : public MatMatAddExpr< SparseMatrix< TSMatTSMatAddExpr<MT1,MT2>, true > >
94 , private Computation
95{
96 private:
97 //**Type definitions****************************************************************************
104 //**********************************************************************************************
105
106 //**Return type evaluation**********************************************************************
108
113 static constexpr bool returnExpr = ( !IsTemporary_v<RN1> && !IsTemporary_v<RN2> );
114
116 using ExprReturnType = decltype( std::declval<RN1>() + std::declval<RN2>() );
117 //**********************************************************************************************
118
119 //**Serial evaluation strategy******************************************************************
121
126 template< typename T1, typename T2, typename T3 >
127 static constexpr bool UseSymmetricKernel_v =
128 ( IsRowMajorMatrix_v<T1> && IsSymmetric_v<T2> && IsSymmetric_v<T3> );
130 //**********************************************************************************************
131
132 //**Parallel evaluation strategy****************************************************************
134
139 template< typename MT >
140 static constexpr bool UseSMPAssign_v = MT::smpAssignable;
142 //**********************************************************************************************
143
144 public:
145 //**Type definitions****************************************************************************
148
151
156
159
162
164 using LeftOperand = If_t< IsExpression_v<MT1>, const MT1, const MT1& >;
165
167 using RightOperand = If_t< IsExpression_v<MT2>, const MT2, const MT2& >;
168 //**********************************************************************************************
169
170 //**Compilation flags***************************************************************************
172 static constexpr bool smpAssignable = false;
173 //**********************************************************************************************
174
175 //**Constructor*********************************************************************************
181 inline TSMatTSMatAddExpr( const MT1& lhs, const MT2& rhs ) noexcept
182 : lhs_( lhs ) // Left-hand side sparse matrix of the addition expression
183 , rhs_( rhs ) // Right-hand side sparse matrix of the addition expression
184 {
185 BLAZE_INTERNAL_ASSERT( lhs.rows() == rhs.rows() , "Invalid number of rows" );
186 BLAZE_INTERNAL_ASSERT( lhs.columns() == rhs.columns(), "Invalid number of columns" );
187 }
188 //**********************************************************************************************
189
190 //**Access operator*****************************************************************************
197 inline ReturnType operator()( size_t i, size_t j ) const {
198 BLAZE_INTERNAL_ASSERT( i < lhs_.rows() , "Invalid row access index" );
199 BLAZE_INTERNAL_ASSERT( j < lhs_.columns(), "Invalid column access index" );
200 return lhs_(i,j) + rhs_(i,j);
201 }
202 //**********************************************************************************************
203
204 //**At function*********************************************************************************
212 inline ReturnType at( size_t i, size_t j ) const {
213 if( i >= lhs_.rows() ) {
214 BLAZE_THROW_OUT_OF_RANGE( "Invalid row access index" );
215 }
216 if( j >= lhs_.columns() ) {
217 BLAZE_THROW_OUT_OF_RANGE( "Invalid column access index" );
218 }
219 return (*this)(i,j);
220 }
221 //**********************************************************************************************
222
223 //**Rows function*******************************************************************************
228 inline size_t rows() const noexcept {
229 return lhs_.rows();
230 }
231 //**********************************************************************************************
232
233 //**Columns function****************************************************************************
238 inline size_t columns() const noexcept {
239 return lhs_.columns();
240 }
241 //**********************************************************************************************
242
243 //**NonZeros function***************************************************************************
248 inline size_t nonZeros() const {
249 return lhs_.nonZeros() + rhs_.nonZeros();
250 }
251 //**********************************************************************************************
252
253 //**NonZeros function***************************************************************************
259 inline size_t nonZeros( size_t i ) const {
260 return lhs_.nonZeros(i) + rhs_.nonZeros(i);
261 }
262 //**********************************************************************************************
263
264 //**Left operand access*************************************************************************
269 inline LeftOperand leftOperand() const noexcept {
270 return lhs_;
271 }
272 //**********************************************************************************************
273
274 //**Right operand access************************************************************************
279 inline RightOperand rightOperand() const noexcept {
280 return rhs_;
281 }
282 //**********************************************************************************************
283
284 //**********************************************************************************************
290 template< typename T >
291 inline bool canAlias( const T* alias ) const noexcept {
292 return ( lhs_.canAlias( alias ) || rhs_.canAlias( alias ) );
293 }
294 //**********************************************************************************************
295
296 //**********************************************************************************************
302 template< typename T >
303 inline bool isAliased( const T* alias ) const noexcept {
304 return ( lhs_.isAliased( alias ) || rhs_.isAliased( alias ) );
305 }
306 //**********************************************************************************************
307
308 private:
309 //**Member variables****************************************************************************
312 //**********************************************************************************************
313
314 //**Assignment to dense matrices****************************************************************
327 template< typename MT // Type of the target dense matrix
328 , bool SO > // Storage order of the target dense matrix
329 friend inline void assign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
330 {
332
333 BLAZE_INTERNAL_ASSERT( (*lhs).rows() == rhs.rows() , "Invalid number of rows" );
334 BLAZE_INTERNAL_ASSERT( (*lhs).columns() == rhs.columns(), "Invalid number of columns" );
335
336 assign( *lhs, rhs.lhs_ );
337
339 addAssign( *lhs, rhs.rhs_ );
340 }
341 else
342 {
343 CT2 B( serial( rhs.rhs_ ) ); // Evaluation of the right-hand side sparse matrix operand
344
345 BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
346 BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
347 BLAZE_INTERNAL_ASSERT( B.rows() == (*lhs).rows() , "Invalid number of rows" );
348 BLAZE_INTERNAL_ASSERT( B.columns() == (*lhs).columns() , "Invalid number of columns" );
349
350 for( size_t j=0UL; j<(*lhs).columns(); ++j ) {
351 const auto end( B.end(j) );
352 for( auto element=B.begin(j); element!=end; ++element ) {
353 if( isDefault( (*lhs)(element->index(),j) ) )
354 (*lhs)(element->index(),j) = element->value();
355 else
356 (*lhs)(element->index(),j) += element->value();
357 }
358 }
359 }
360 }
362 //**********************************************************************************************
363
364 //**Assignment to row-major sparse matrices*****************************************************
377 template< typename MT > // Type of the target sparse matrix
378 friend inline auto assign( SparseMatrix<MT,false>& lhs, const TSMatTSMatAddExpr& rhs )
380 {
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 CT1 A( serial( rhs.lhs_ ) ); // Evaluation of the left-hand side sparse matrix operand
389 CT2 B( serial( rhs.rhs_ ) ); // Evaluation of the right-hand side sparse matrix operand
390
391 BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
392 BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
393 BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
394 BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
395 BLAZE_INTERNAL_ASSERT( A.rows() == (*lhs).rows() , "Invalid number of rows" );
396 BLAZE_INTERNAL_ASSERT( A.columns() == (*lhs).columns() , "Invalid number of columns" );
397
398 const size_t m( rhs.rows() );
399 const size_t n( rhs.columns() );
400
401 // Counting the number of elements per column
402 std::vector<size_t> nonzeros( m, 0UL );
403 for( size_t j=0UL; j<n; ++j )
404 {
405 const auto lend( A.end(j) );
406 const auto rend( B.end(j) );
407
408 auto l( A.begin(j) );
409 auto r( B.begin(j) );
410
411 while( l != lend && r != rend )
412 {
413 if( l->index() < r->index() ) {
414 ++nonzeros[l->index()];
415 ++l;
416 }
417 else if( l->index() > r->index() ) {
418 ++nonzeros[r->index()];
419 ++r;
420 }
421 else {
422 ++nonzeros[l->index()];
423 ++l;
424 ++r;
425 }
426 }
427
428 while( l != lend ) {
429 ++nonzeros[l->index()];
430 ++l;
431 }
432
433 while( r != rend ) {
434 ++nonzeros[r->index()];
435 ++r;
436 }
437 }
438
439 // Resizing the left-hand side sparse matrix
440 for( size_t i=0UL; i<m; ++i ) {
441 (*lhs).reserve( i, nonzeros[i] );
442 }
443
444 // Performing the matrix addition
445 for( size_t j=0UL; j<n; ++j )
446 {
447 const auto lend( A.end(j) );
448 const auto rend( B.end(j) );
449
450 auto l( A.begin(j) );
451 auto r( B.begin(j) );
452
453 while( l != lend && r != rend )
454 {
455 if( l->index() < r->index() ) {
456 (*lhs).append( l->index(), j, l->value() );
457 ++l;
458 }
459 else if( l->index() > r->index() ) {
460 (*lhs).append( r->index(), j, r->value() );
461 ++r;
462 }
463 else {
464 (*lhs).append( l->index(), j, l->value() + r->value() );
465 ++l;
466 ++r;
467 }
468 }
469
470 while( l != lend ) {
471 (*lhs).append( l->index(), j, l->value() );
472 ++l;
473 }
474
475 while( r != rend ) {
476 (*lhs).append( r->index(), j, r->value() );
477 ++r;
478 }
479 }
480 }
482 //**********************************************************************************************
483
484 //**Assignment to row-major sparse matrices*****************************************************
497 template< typename MT > // Type of the target sparse matrix
498 friend inline auto assign( SparseMatrix<MT,false>& lhs, const TSMatTSMatAddExpr& rhs )
499 -> EnableIf_t< UseSymmetricKernel_v<MT,MT1,MT2> >
500 {
502
504
505 BLAZE_INTERNAL_ASSERT( (*lhs).rows() == rhs.rows() , "Invalid number of rows" );
506 BLAZE_INTERNAL_ASSERT( (*lhs).columns() == rhs.columns(), "Invalid number of columns" );
507
508 assign( *lhs, trans( rhs.lhs_ ) + trans( rhs.rhs_ ) );
509 }
511 //**********************************************************************************************
512
513 //**Assignment to column-major sparse matrices**************************************************
526 template< typename MT > // Type of the target sparse matrix
527 friend inline void assign( SparseMatrix<MT,true>& lhs, const TSMatTSMatAddExpr& rhs )
528 {
530
531 BLAZE_INTERNAL_ASSERT( (*lhs).rows() == rhs.rows() , "Invalid number of rows" );
532 BLAZE_INTERNAL_ASSERT( (*lhs).columns() == rhs.columns(), "Invalid number of columns" );
533
534 CT1 A( serial( rhs.lhs_ ) ); // Evaluation of the left-hand side sparse matrix operand
535 CT2 B( serial( rhs.rhs_ ) ); // Evaluation of the right-hand side sparse matrix operand
536
537 BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
538 BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
539 BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
540 BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
541 BLAZE_INTERNAL_ASSERT( A.rows() == (*lhs).rows() , "Invalid number of rows" );
542 BLAZE_INTERNAL_ASSERT( A.columns() == (*lhs).columns() , "Invalid number of columns" );
543
544 // Final memory allocation (based on the evaluated operands)
545 (*lhs).reserve( A.nonZeros() + B.nonZeros() );
546
547 // Performing the matrix addition
548 for( size_t j=0UL; j<(*lhs).columns(); ++j )
549 {
550 const auto lend( A.end(j) );
551 const auto rend( B.end(j) );
552
553 auto l( A.begin(j) );
554 auto r( B.begin(j) );
555
556 while( l != lend && r != rend )
557 {
558 if( l->index() < r->index() ) {
559 (*lhs).append( l->index(), j, l->value() );
560 ++l;
561 }
562 else if( l->index() > r->index() ) {
563 (*lhs).append( r->index(), j, r->value() );
564 ++r;
565 }
566 else {
567 (*lhs).append( l->index(), j, l->value() + r->value() );
568 ++l;
569 ++r;
570 }
571 }
572
573 while( l != lend ) {
574 (*lhs).append( l->index(), j, l->value() );
575 ++l;
576 }
577
578 while( r != rend ) {
579 (*lhs).append( r->index(), j, r->value() );
580 ++r;
581 }
582
583 (*lhs).finalize( j );
584 }
585 }
587 //**********************************************************************************************
588
589 //**Addition assignment to dense matrices*******************************************************
602 template< typename MT // Type of the target dense matrix
603 , bool SO > // Storage order of the target dense matrix
604 friend inline void addAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
605 {
607
608 BLAZE_INTERNAL_ASSERT( (*lhs).rows() == rhs.rows() , "Invalid number of rows" );
609 BLAZE_INTERNAL_ASSERT( (*lhs).columns() == rhs.columns(), "Invalid number of columns" );
610
611 addAssign( *lhs, rhs.lhs_ );
612 addAssign( *lhs, rhs.rhs_ );
613 }
615 //**********************************************************************************************
616
617 //**Addition assignment to sparse matrices******************************************************
618 // No special implementation for the addition assignment to sparse matrices.
619 //**********************************************************************************************
620
621 //**Subtraction assignment to dense matrices****************************************************
634 template< typename MT // Type of the target dense matrix
635 , bool SO > // Storage order of the target dense matrix
636 friend inline void subAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
637 {
639
640 BLAZE_INTERNAL_ASSERT( (*lhs).rows() == rhs.rows() , "Invalid number of rows" );
641 BLAZE_INTERNAL_ASSERT( (*lhs).columns() == rhs.columns(), "Invalid number of columns" );
642
643 subAssign( *lhs, rhs.lhs_ );
644 subAssign( *lhs, rhs.rhs_ );
645 }
647 //**********************************************************************************************
648
649 //**Subtraction assignment to sparse matrices***************************************************
650 // No special implementation for the subtraction assignment to sparse matrices.
651 //**********************************************************************************************
652
653 //**Schur product assignment to dense matrices**************************************************
666 template< typename MT // Type of the target dense matrix
667 , bool SO > // Storage order of the target dense matrix
668 friend inline void schurAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
669 {
671
675
676 BLAZE_INTERNAL_ASSERT( (*lhs).rows() == rhs.rows() , "Invalid number of rows" );
677 BLAZE_INTERNAL_ASSERT( (*lhs).columns() == rhs.columns(), "Invalid number of columns" );
678
679 const ResultType tmp( serial( rhs ) );
680 schurAssign( *lhs, tmp );
681 }
683 //**********************************************************************************************
684
685 //**Schur product assignment to sparse matrices*************************************************
686 // No special implementation for the Schur product assignment to sparse matrices.
687 //**********************************************************************************************
688
689 //**Multiplication assignment to dense matrices*************************************************
690 // No special implementation for the multiplication assignment to dense matrices.
691 //**********************************************************************************************
692
693 //**Multiplication assignment to sparse matrices************************************************
694 // No special implementation for the multiplication assignment to sparse matrices.
695 //**********************************************************************************************
696
697 //**SMP assignment to dense matrices************************************************************
698 // No special implementation for the SMP assignment to dense matrices.
699 //**********************************************************************************************
700
701 //**SMP assignment to sparse matrices***********************************************************
702 // No special implementation for the SMP assignment to sparse matrices.
703 //**********************************************************************************************
704
705 //**SMP addition assignment to dense matrices***************************************************
720 template< typename MT // Type of the target dense matrix
721 , bool SO > // Storage order of the target dense matrix
722 friend inline auto smpAddAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
723 -> EnableIf_t< UseSMPAssign_v<MT> >
724 {
726
727 BLAZE_INTERNAL_ASSERT( (*lhs).rows() == rhs.rows() , "Invalid number of rows" );
728 BLAZE_INTERNAL_ASSERT( (*lhs).columns() == rhs.columns(), "Invalid number of columns" );
729
730 smpAddAssign( *lhs, rhs.lhs_ );
731 smpAddAssign( *lhs, rhs.rhs_ );
732 }
734 //**********************************************************************************************
735
736 //**SMP addition assignment to sparse matrices**************************************************
737 // No special implementation for the SMP addition assignment to sparse matrices.
738 //**********************************************************************************************
739
740 //**SMP subtraction assignment to dense matrices************************************************
755 template< typename MT // Type of the target dense matrix
756 , bool SO > // Storage order of the target dense matrix
757 friend inline auto smpSubAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
758 -> EnableIf_t< UseSMPAssign_v<MT> >
759 {
761
762 BLAZE_INTERNAL_ASSERT( (*lhs).rows() == rhs.rows() , "Invalid number of rows" );
763 BLAZE_INTERNAL_ASSERT( (*lhs).columns() == rhs.columns(), "Invalid number of columns" );
764
765 smpSubAssign( *lhs, rhs.lhs_ );
766 smpSubAssign( *lhs, rhs.rhs_ );
767 }
769 //**********************************************************************************************
770
771 //**SMP subtraction assignment to sparse matrices***********************************************
772 // No special implementation for the SMP subtraction assignment to sparse matrices.
773 //**********************************************************************************************
774
775 //**SMP Schur product assignment to dense matrices**********************************************
791 template< typename MT // Type of the target dense matrix
792 , bool SO > // Storage order of the target dense matrix
793 friend inline auto smpSchurAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
794 -> EnableIf_t< UseSMPAssign_v<MT> >
795 {
797
801
802 BLAZE_INTERNAL_ASSERT( (*lhs).rows() == rhs.rows() , "Invalid number of rows" );
803 BLAZE_INTERNAL_ASSERT( (*lhs).columns() == rhs.columns(), "Invalid number of columns" );
804
805 const ResultType tmp( rhs );
806 smpSchurAssign( *lhs, tmp );
807 }
809 //**********************************************************************************************
810
811 //**SMP Schur product assignment to sparse matrices*********************************************
812 // No special implementation for the SMP Schur product assignment to sparse matrices.
813 //**********************************************************************************************
814
815 //**SMP multiplication assignment to dense matrices*********************************************
816 // No special implementation for the SMP multiplication assignment to dense matrices.
817 //**********************************************************************************************
818
819 //**SMP multiplication assignment to sparse matrices********************************************
820 // No special implementation for the SMP multiplication assignment to sparse matrices.
821 //**********************************************************************************************
822
823 //**Compile time checks*************************************************************************
831 //**********************************************************************************************
832};
833//*************************************************************************************************
834
835
836
837
838//=================================================================================================
839//
840// GLOBAL BINARY ARITHMETIC OPERATORS
841//
842//=================================================================================================
843
844//*************************************************************************************************
856template< typename MT1 // Type of the left-hand side sparse matrix
857 , typename MT2 // Type of the right-hand side sparse matrix
858 , DisableIf_t< ( ( IsZero_v<MT1> || IsZero_v<MT2> ) &&
859 IsSame_v< ElementType_t<MT1>, ElementType_t<MT2> > ) ||
860 ( IsZero_v<MT1> && IsZero_v<MT2> ) >* = nullptr >
861inline const TSMatTSMatAddExpr<MT1,MT2>
862 tsmattsmatadd( const SparseMatrix<MT1,true>& lhs, const SparseMatrix<MT2,true>& rhs )
863{
865
866 BLAZE_INTERNAL_ASSERT( (*lhs).rows() == (*rhs).rows() , "Invalid number of rows" );
867 BLAZE_INTERNAL_ASSERT( (*lhs).columns() == (*rhs).columns(), "Invalid number of columns" );
868
869 return TSMatTSMatAddExpr<MT1,MT2>( *lhs, *rhs );
870}
872//*************************************************************************************************
873
874
875//*************************************************************************************************
889template< typename MT1 // Type of the left-hand side sparse matrix
890 , typename MT2 // Type of the right-hand side sparse matrix
891 , EnableIf_t< !IsZero_v<MT1> && IsZero_v<MT2> &&
892 IsSame_v< ElementType_t<MT1>, ElementType_t<MT2> > >* = nullptr >
893inline const MT1&
894 tsmattsmatadd( const SparseMatrix<MT1,true>& lhs, const SparseMatrix<MT2,true>& rhs )
895{
897
898 MAYBE_UNUSED( rhs );
899
900 BLAZE_INTERNAL_ASSERT( (*lhs).rows() == (*rhs).rows() , "Invalid number of rows" );
901 BLAZE_INTERNAL_ASSERT( (*lhs).columns() == (*rhs).columns(), "Invalid number of columns" );
902
903 return (*lhs);
904}
906//*************************************************************************************************
907
908
909//*************************************************************************************************
923template< typename MT1 // Type of the left-hand side sparse matrix
924 , typename MT2 // Type of the right-hand side sparse matrix
925 , EnableIf_t< IsZero_v<MT1> && !IsZero_v<MT2> &&
926 IsSame_v< ElementType_t<MT1>, ElementType_t<MT2> > >* = nullptr >
927inline const MT2&
928 tsmattsmatadd( const SparseMatrix<MT1,true>& lhs, const SparseMatrix<MT2,true>& rhs )
929{
931
932 MAYBE_UNUSED( lhs );
933
934 BLAZE_INTERNAL_ASSERT( (*lhs).rows() == (*rhs).rows() , "Invalid number of rows" );
935 BLAZE_INTERNAL_ASSERT( (*lhs).columns() == (*rhs).columns(), "Invalid number of columns" );
936
937 return (*rhs);
938}
940//*************************************************************************************************
941
942
943//*************************************************************************************************
955template< typename MT1 // Type of the left-hand side sparse matrix
956 , typename MT2 // Type of the right-hand side sparse matrix
957 , EnableIf_t< IsZero_v<MT1> && IsZero_v<MT2> >* = nullptr >
958inline decltype(auto)
959 tsmattsmatadd( const SparseMatrix<MT1,true>& lhs, const SparseMatrix<MT2,true>& rhs )
960{
962
963 MAYBE_UNUSED( rhs );
964
965 BLAZE_INTERNAL_ASSERT( (*lhs).rows() == (*rhs).rows() , "Invalid number of rows" );
966 BLAZE_INTERNAL_ASSERT( (*lhs).columns() == (*rhs).columns(), "Invalid number of columns" );
967
968 using ReturnType = const AddTrait_t< ResultType_t<MT1>, ResultType_t<MT2> >;
969
972
973 return ReturnType( (*lhs).rows(), (*lhs).columns() );
974}
976//*************************************************************************************************
977
978
979//*************************************************************************************************
1005template< typename MT1 // Type of the left-hand side sparse matrix
1006 , typename MT2 > // Type of the right-hand side sparse matrix
1007inline decltype(auto)
1008 operator+( const SparseMatrix<MT1,true>& lhs, const SparseMatrix<MT2,true>& rhs )
1009{
1011
1012 if( (*lhs).rows() != (*rhs).rows() || (*lhs).columns() != (*rhs).columns() ) {
1013 BLAZE_THROW_INVALID_ARGUMENT( "Matrix sizes do not match" );
1014 }
1015
1016 return tsmattsmatadd( *lhs, *rhs );
1017}
1018//*************************************************************************************************
1019
1020} // namespace blaze
1021
1022#endif
Header file for the addition trait.
Header file for auxiliary alias declarations.
typename T::CompositeType CompositeType_t
Alias declaration for nested CompositeType type definitions.
Definition: Aliases.h:110
typename T::ReturnType ReturnType_t
Alias declaration for nested ReturnType type definitions.
Definition: Aliases.h:470
typename T::ResultType ResultType_t
Alias declaration for nested ResultType type definitions.
Definition: Aliases.h:450
typename T::ElementType ElementType_t
Alias declaration for nested ElementType type definitions.
Definition: Aliases.h:190
typename T::OppositeType OppositeType_t
Alias declaration for nested OppositeType type definitions.
Definition: Aliases.h:310
typename T::TransposeType TransposeType_t
Alias declaration for nested TransposeType type definitions.
Definition: Aliases.h:550
Header file for run time assertion macros.
Constraints on the storage order of matrix types.
Header file for the EnableIf class template.
Header file for the function trace functionality.
Header file for the If class template.
Header file for the IntegralConstant class template.
Header file for the isDefault shim.
Header file for the IsExpression type trait class.
Header file for the IsResizable type trait.
Header file for the IsRowMajorMatrix type trait.
Header file for the IsSame and IsStrictlySame type traits.
Header file for the IsSymmetric type trait.
Header file for the IsTemporary type trait class.
Header file for the MAYBE_UNUSED function template.
Constraint on the data type.
Constraint on the data type.
Base class for dense matrices.
Definition: DenseMatrix.h:82
Base class for sparse matrices.
Definition: SparseMatrix.h:77
Expression object for transpose sparse matrix-transpose sparse matrix additions.
Definition: TSMatTSMatAddExpr.h:95
size_t rows() const noexcept
Returns the current number of rows of the matrix.
Definition: TSMatTSMatAddExpr.h:228
size_t columns() const noexcept
Returns the current number of columns of the matrix.
Definition: TSMatTSMatAddExpr.h:238
decltype(std::declval< RN1 >()+std::declval< RN2 >()) ExprReturnType
Expression return type for the subscript operator.
Definition: TSMatTSMatAddExpr.h:116
bool isAliased(const T *alias) const noexcept
Returns whether the expression is aliased with the given address alias.
Definition: TSMatTSMatAddExpr.h:303
If_t< IsExpression_v< MT2 >, const MT2, const MT2 & > RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:167
AddTrait_t< RT1, RT2 > ResultType
Result type for expression template evaluations.
Definition: TSMatTSMatAddExpr.h:152
OppositeType_t< ResultType > OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: TSMatTSMatAddExpr.h:153
RightOperand rightOperand() const noexcept
Returns the right-hand side transpose sparse matrix operand.
Definition: TSMatTSMatAddExpr.h:279
If_t< IsExpression_v< MT1 >, const MT1, const MT1 & > LeftOperand
Composite type of the left-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:164
LeftOperand leftOperand() const noexcept
Returns the left-hand side transpose sparse matrix operand.
Definition: TSMatTSMatAddExpr.h:269
CompositeType_t< MT2 > CT2
Composite type of the right-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:103
size_t nonZeros() const
Returns the number of non-zero elements in the sparse matrix.
Definition: TSMatTSMatAddExpr.h:248
ElementType_t< ResultType > ElementType
Resulting element type.
Definition: TSMatTSMatAddExpr.h:155
CompositeType_t< MT1 > CT1
Composite type of the left-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:102
ResultType_t< MT2 > RT2
Result type of the right-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:99
ReturnType at(size_t i, size_t j) const
Checked access to the matrix elements.
Definition: TSMatTSMatAddExpr.h:212
ReturnType_t< MT1 > RN1
Return type of the left-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:100
ResultType_t< MT1 > RT1
Result type of the left-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:98
static constexpr bool smpAssignable
Compilation switch for the expression template assignment strategy.
Definition: TSMatTSMatAddExpr.h:172
static constexpr bool returnExpr
Compilation switch for the selection of the subscript operator return type.
Definition: TSMatTSMatAddExpr.h:113
size_t nonZeros(size_t i) const
Returns the number of non-zero elements in the specified row.
Definition: TSMatTSMatAddExpr.h:259
bool canAlias(const T *alias) const noexcept
Returns whether the expression can alias with the given address alias.
Definition: TSMatTSMatAddExpr.h:291
ReturnType_t< MT2 > RN2
Return type of the right-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:101
const If_t< returnExpr, ExprReturnType, ElementType > ReturnType
Return type for expression template evaluations.
Definition: TSMatTSMatAddExpr.h:158
ReturnType operator()(size_t i, size_t j) const
2D-access to the matrix elements.
Definition: TSMatTSMatAddExpr.h:197
TransposeType_t< ResultType > TransposeType
Transpose type for expression template evaluations.
Definition: TSMatTSMatAddExpr.h:154
const ResultType CompositeType
Data type for composite expression templates.
Definition: TSMatTSMatAddExpr.h:161
TSMatTSMatAddExpr(const MT1 &lhs, const MT2 &rhs) noexcept
Constructor for the TSMatTSMatAddExpr class.
Definition: TSMatTSMatAddExpr.h:181
LeftOperand lhs_
Left-hand side sparse matrix of the addition expression.
Definition: TSMatTSMatAddExpr.h:310
RightOperand rhs_
Right-hand side sparse matrix of the addition expression.
Definition: TSMatTSMatAddExpr.h:311
Constraint on the data type.
Constraint on the data type.
Constraint on the data type.
Header file for the Computation base class.
Header file for the MatMatAddExpr base class.
Header file for the SparseMatrix base class.
decltype(auto) trans(const DenseMatrix< MT, SO > &dm)
Calculation of the transpose of the given dense matrix.
Definition: DMatTransExpr.h:766
decltype(auto) serial(const DenseMatrix< MT, SO > &dm)
Forces the serial evaluation of the given dense matrix expression dm.
Definition: DMatSerialExpr.h:812
bool isDefault(const DiagonalMatrix< MT, SO, DF > &m)
Returns whether the given diagonal matrix is in default state.
Definition: DiagonalMatrix.h:169
#define BLAZE_CONSTRAINT_MUST_NOT_BE_SYMMETRIC_MATRIX_TYPE(T)
Constraint on the data type.
Definition: Symmetric.h:79
#define BLAZE_CONSTRAINT_MUST_NOT_REQUIRE_EVALUATION(T)
Constraint on the data type.
Definition: RequiresEvaluation.h:81
#define BLAZE_CONSTRAINT_MUST_BE_SPARSE_MATRIX_TYPE(T)
Constraint on the data type.
Definition: SparseMatrix.h:61
#define BLAZE_CONSTRAINT_MUST_FORM_VALID_MATMATADDEXPR(T1, T2)
Constraint on the data type.
Definition: MatMatAddExpr.h:103
#define BLAZE_CONSTRAINT_MUST_BE_COLUMN_MAJOR_MATRIX_TYPE(T)
Constraint on the data type.
Definition: ColumnMajorMatrix.h:61
#define BLAZE_CONSTRAINT_MUST_BE_ZERO_TYPE(T)
Constraint on the data type.
Definition: Zero.h:61
typename AddTrait< T1, T2 >::Type AddTrait_t
Auxiliary alias declaration for the AddTrait class template.
Definition: AddTrait.h:163
constexpr bool IsResizable_v
Auxiliary variable template for the IsResizable type trait.
Definition: IsResizable.h:136
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:584
#define BLAZE_INTERNAL_ASSERT(expr, msg)
Run time assertion macro for internal checks.
Definition: Assert.h:101
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
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
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
constexpr bool IsSame_v
Auxiliary variable template for the IsSame type trait.
Definition: IsSame.h:159
constexpr void MAYBE_UNUSED(const Args &...)
Suppression of unused parameter warnings.
Definition: MaybeUnused.h:81
typename If< Condition >::template Type< T1, T2 > If_t
Auxiliary alias template for the If class template.
Definition: If.h:108
#define BLAZE_THROW_OUT_OF_RANGE(MESSAGE)
Macro for the emission of a std::out_of_range exception.
Definition: Exception.h:331
#define BLAZE_THROW_INVALID_ARGUMENT(MESSAGE)
Macro for the emission of a std::invalid_argument exception.
Definition: Exception.h:235
typename EnableIf<!Condition, T >::Type DisableIf_t
Auxiliary type for the EnableIf class template.
Definition: EnableIf.h:175
#define BLAZE_FUNCTION_TRACE
Function trace macro.
Definition: FunctionTrace.h:94
Header file for the exception macros of the math module.
Header file for all forward declarations for expression class templates.
Header file for the serial shim.
Base class for all compute expression templates.
Definition: Computation.h:68
Base class for all matrix/matrix addition expression templates.
Definition: MatMatAddExpr.h:68
Header file for the IsZero type trait.
Header file for basic type definitions.