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SMatSMatAddExpr.h
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1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_SMATSMATADDEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_SMATSMATADDEXPR_H_
37 
38 
39 //*************************************************************************************************
40 // Includes
41 //*************************************************************************************************
42 
43 #include <stdexcept>
62 #include <blaze/util/Assert.h>
64 #include <blaze/util/SelectType.h>
65 #include <blaze/util/Types.h>
67 
68 
69 namespace blaze {
70 
71 //=================================================================================================
72 //
73 // CLASS SMATSMATADDEXPR
74 //
75 //=================================================================================================
76 
77 //*************************************************************************************************
84 template< typename MT1 // Type of the left-hand side sparse matrix
85  , typename MT2 > // Type of the right-hand side sparse matrix
86 class SMatSMatAddExpr : public SparseMatrix< SMatSMatAddExpr<MT1,MT2>, false >
87  , private MatMatAddExpr
88  , private Computation
89 {
90  private:
91  //**Type definitions****************************************************************************
92  typedef typename MT1::ResultType RT1;
93  typedef typename MT2::ResultType RT2;
94  typedef typename MT1::CompositeType CT1;
95  typedef typename MT2::CompositeType CT2;
96  typedef typename MT1::ReturnType RN1;
97  typedef typename MT2::ReturnType RN2;
98  //**********************************************************************************************
99 
100  //**Return type evaluation**********************************************************************
102 
107  enum { returnExpr = !IsTemporary<RN1>::value && !IsTemporary<RN2>::value };
108 
111  //**********************************************************************************************
112 
113  //**Parallel evaluation strategy****************************************************************
115 
120  template< typename MT >
121  struct UseSMPAssign {
122  enum { value = MT::smpAssignable };
123  };
125  //**********************************************************************************************
126 
127  public:
128  //**Type definitions****************************************************************************
134 
137 
139  typedef const ResultType CompositeType;
140 
142  typedef typename SelectType< IsExpression<MT1>::value, const MT1, const MT1& >::Type LeftOperand;
143 
145  typedef typename SelectType< IsExpression<MT2>::value, const MT2, const MT2& >::Type RightOperand;
146  //**********************************************************************************************
147 
148  //**Compilation flags***************************************************************************
150  enum { smpAssignable = 0 };
151  //**********************************************************************************************
152 
153  //**Constructor*********************************************************************************
159  explicit inline SMatSMatAddExpr( const MT1& lhs, const MT2& rhs )
160  : lhs_( lhs ) // Left-hand side sparse matrix of the addition expression
161  , rhs_( rhs ) // Right-hand side sparse matrix of the addition expression
162  {
163  BLAZE_INTERNAL_ASSERT( lhs.rows() == rhs.rows() , "Invalid number of rows" );
164  BLAZE_INTERNAL_ASSERT( lhs.columns() == rhs.columns(), "Invalid number of columns" );
165  }
166  //**********************************************************************************************
167 
168  //**Access operator*****************************************************************************
175  inline ReturnType operator()( size_t i, size_t j ) const {
176  BLAZE_INTERNAL_ASSERT( i < lhs_.rows() , "Invalid row access index" );
177  BLAZE_INTERNAL_ASSERT( j < lhs_.columns(), "Invalid column access index" );
178  return lhs_(i,j) + rhs_(i,j);
179  }
180  //**********************************************************************************************
181 
182  //**Rows function*******************************************************************************
187  inline size_t rows() const {
188  return lhs_.rows();
189  }
190  //**********************************************************************************************
191 
192  //**Columns function****************************************************************************
197  inline size_t columns() const {
198  return lhs_.columns();
199  }
200  //**********************************************************************************************
201 
202  //**NonZeros function***************************************************************************
207  inline size_t nonZeros() const {
208  return lhs_.nonZeros() + rhs_.nonZeros();
209  }
210  //**********************************************************************************************
211 
212  //**NonZeros function***************************************************************************
218  inline size_t nonZeros( size_t i ) const {
219  return lhs_.nonZeros(i) + rhs_.nonZeros(i);
220  }
221  //**********************************************************************************************
222 
223  //**Left operand access*************************************************************************
228  inline LeftOperand leftOperand() const {
229  return lhs_;
230  }
231  //**********************************************************************************************
232 
233  //**Right operand access************************************************************************
238  inline RightOperand rightOperand() const {
239  return rhs_;
240  }
241  //**********************************************************************************************
242 
243  //**********************************************************************************************
249  template< typename T >
250  inline bool canAlias( const T* alias ) const {
251  return ( lhs_.canAlias( alias ) || rhs_.canAlias( alias ) );
252  }
253  //**********************************************************************************************
254 
255  //**********************************************************************************************
261  template< typename T >
262  inline bool isAliased( const T* alias ) const {
263  return ( lhs_.isAliased( alias ) || rhs_.isAliased( alias ) );
264  }
265  //**********************************************************************************************
266 
267  private:
268  //**Member variables****************************************************************************
271  //**********************************************************************************************
272 
273  //**Assignment to dense matrices****************************************************************
285  template< typename MT // Type of the target dense matrix
286  , bool SO > // Storage order of the target dense matrix
287  friend inline void assign( DenseMatrix<MT,SO>& lhs, const SMatSMatAddExpr& rhs )
288  {
290 
291  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
292  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
293 
294  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
295 
296  assign( ~lhs, rhs.lhs_ );
297 
299  addAssign( ~lhs, rhs.rhs_ );
300  }
301  else
302  {
303  CT2 B( serial( rhs.rhs_ ) ); // Evaluation of the right-hand side sparse matrix operand
304 
305  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
306  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
307  BLAZE_INTERNAL_ASSERT( B.rows() == (~lhs).rows() , "Invalid number of rows" );
308  BLAZE_INTERNAL_ASSERT( B.columns() == (~lhs).columns() , "Invalid number of columns" );
309 
310  for( size_t i=0UL; i<(~lhs).rows(); ++i ) {
311  const RightIterator end( B.end(i) );
312  for( RightIterator element=B.begin(i); element!=end; ++element ) {
313  if( isDefault( (~lhs)(i,element->index()) ) )
314  (~lhs)(i,element->index()) = element->value();
315  else
316  (~lhs)(i,element->index()) += element->value();
317  }
318  }
319  }
320  }
322  //**********************************************************************************************
323 
324  //**Assignment to row-major sparse matrices*****************************************************
336  template< typename MT > // Type of the target sparse matrix
337  friend inline void assign( SparseMatrix<MT,false>& lhs, const SMatSMatAddExpr& rhs )
338  {
340 
341  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
342  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
343 
344  typedef typename RemoveReference<CT1>::Type::ConstIterator LeftIterator;
345  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
346 
347  CT1 A( serial( rhs.lhs_ ) ); // Evaluation of the left-hand side sparse matrix operand
348  CT2 B( serial( rhs.rhs_ ) ); // Evaluation of the right-hand side sparse matrix operand
349 
350  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
351  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
352  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
353  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
354  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
355  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
356 
357  // Final memory allocation (based on the evaluated operands)
358  (~lhs).reserve( A.nonZeros() + B.nonZeros() );
359 
360  // Performing the matrix addition
361  for( size_t i=0UL; i<(~lhs).rows(); ++i )
362  {
363  const LeftIterator lend( A.end(i) );
364  const RightIterator rend( B.end(i) );
365 
366  LeftIterator l( A.begin(i) );
367  RightIterator r( B.begin(i) );
368 
369  while( l != lend && r != rend )
370  {
371  if( l->index() < r->index() ) {
372  (~lhs).append( i, l->index(), l->value() );
373  ++l;
374  }
375  else if( l->index() > r->index() ) {
376  (~lhs).append( i, r->index(), r->value() );
377  ++r;
378  }
379  else {
380  (~lhs).append( i, l->index(), l->value()+r->value() );
381  ++l;
382  ++r;
383  }
384  }
385 
386  while( l != lend ) {
387  (~lhs).append( i, l->index(), l->value() );
388  ++l;
389  }
390 
391  while( r != rend ) {
392  (~lhs).append( i, r->index(), r->value() );
393  ++r;
394  }
395 
396  (~lhs).finalize( i );
397  }
398  }
400  //**********************************************************************************************
401 
402  //**Assignment to column-major sparse matrices**************************************************
414  template< typename MT > // Type of the target sparse matrix
415  friend inline void assign( SparseMatrix<MT,true>& lhs, const SMatSMatAddExpr& rhs )
416  {
418 
419  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
420  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
421 
422  typedef typename RemoveReference<CT1>::Type::ConstIterator LeftIterator;
423  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
424 
425  CT1 A( serial( rhs.lhs_ ) ); // Evaluation of the left-hand side sparse matrix operand
426  CT2 B( serial( rhs.rhs_ ) ); // Evaluation of the right-hand side sparse matrix operand
427 
428  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
429  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
430  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
431  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
432  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
433  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
434 
435  const size_t m( rhs.rows() );
436  const size_t n( rhs.columns() );
437 
438  // Counting the number of elements per column
439  std::vector<size_t> nonzeros( n, 0UL );
440  for( size_t i=0UL; i<m; ++i )
441  {
442  const LeftIterator lend( A.end(i) );
443  const RightIterator rend( B.end(i) );
444 
445  LeftIterator l( A.begin(i) );
446  RightIterator r( B.begin(i) );
447 
448  while( l != lend && r != rend )
449  {
450  if( l->index() < r->index() ) {
451  ++nonzeros[l->index()];
452  ++l;
453  }
454  else if( l->index() > r->index() ) {
455  ++nonzeros[r->index()];
456  ++r;
457  }
458  else {
459  ++nonzeros[l->index()];
460  ++l;
461  ++r;
462  }
463  }
464 
465  while( l != lend ) {
466  ++nonzeros[l->index()];
467  ++l;
468  }
469 
470  while( r != rend ) {
471  ++nonzeros[r->index()];
472  ++r;
473  }
474  }
475 
476  // Resizing the left-hand side sparse matrix
477  for( size_t j=0UL; j<n; ++j ) {
478  (~lhs).reserve( j, nonzeros[j] );
479  }
480 
481  // Performing the matrix addition
482  for( size_t i=0UL; i<m; ++i )
483  {
484  const LeftIterator lend( A.end(i) );
485  const RightIterator rend( B.end(i) );
486 
487  LeftIterator l( A.begin(i) );
488  RightIterator r( B.begin(i) );
489 
490  while( l != lend && r != rend )
491  {
492  if( l->index() < r->index() ) {
493  (~lhs).append( i, l->index(), l->value() );
494  ++l;
495  }
496  else if( l->index() > r->index() ) {
497  (~lhs).append( i, r->index(), r->value() );
498  ++r;
499  }
500  else {
501  (~lhs).append( i, l->index(), l->value()+r->value() );
502  ++l;
503  ++r;
504  }
505  }
506 
507  while( l != lend ) {
508  (~lhs).append( i, l->index(), l->value() );
509  ++l;
510  }
511 
512  while( r != rend ) {
513  (~lhs).append( i, r->index(), r->value() );
514  ++r;
515  }
516  }
517  }
519  //**********************************************************************************************
520 
521  //**Addition assignment to dense matrices*******************************************************
533  template< typename MT // Type of the target dense matrix
534  , bool SO > // Storage order of the target dense matrix
535  friend inline void addAssign( DenseMatrix<MT,SO>& lhs, const SMatSMatAddExpr& rhs )
536  {
538 
539  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
540  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
541 
542  addAssign( ~lhs, rhs.lhs_ );
543  addAssign( ~lhs, rhs.rhs_ );
544  }
546  //**********************************************************************************************
547 
548  //**Addition assignment to sparse matrices******************************************************
549  // No special implementation for the addition assignment to sparse matrices.
550  //**********************************************************************************************
551 
552  //**Subtraction assignment to dense matrices****************************************************
564  template< typename MT // Type of the target dense matrix
565  , bool SO > // Storage order of the target dense matrix
566  friend inline void subAssign( DenseMatrix<MT,SO>& lhs, const SMatSMatAddExpr& rhs )
567  {
569 
570  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
571  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
572 
573  subAssign( ~lhs, rhs.lhs_ );
574  subAssign( ~lhs, rhs.rhs_ );
575  }
577  //**********************************************************************************************
578 
579  //**Subtraction assignment to sparse matrices***************************************************
580  // No special implementation for the subtraction assignment to sparse matrices.
581  //**********************************************************************************************
582 
583  //**Multiplication assignment to dense matrices*************************************************
584  // No special implementation for the multiplication assignment to dense matrices.
585  //**********************************************************************************************
586 
587  //**Multiplication assignment to sparse matrices************************************************
588  // No special implementation for the multiplication assignment to sparse matrices.
589  //**********************************************************************************************
590 
591  //**SMP assignment to dense matrices************************************************************
592  // No special implementation for the SMP assignment to dense matrices.
593  //**********************************************************************************************
594 
595  //**SMP assignment to sparse matrices***********************************************************
596  // No special implementation for the SMP assignment to sparse matrices.
597  //**********************************************************************************************
598 
599  //**SMP addition assignment to dense matrices***************************************************
613  template< typename MT // Type of the target dense matrix
614  , bool SO > // Storage order of the target dense matrix
615  friend inline typename EnableIf< UseSMPAssign<MT> >::Type
616  smpAddAssign( DenseMatrix<MT,SO>& lhs, const SMatSMatAddExpr& rhs )
617  {
619 
620  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
621  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
622 
623  smpAddAssign( ~lhs, rhs.lhs_ );
624  smpAddAssign( ~lhs, rhs.rhs_ );
625  }
627  //**********************************************************************************************
628 
629  //**SMP addition assignment to sparse matrices**************************************************
630  // No special implementation for the SMP addition assignment to sparse matrices.
631  //**********************************************************************************************
632 
633  //**SMP subtraction assignment to dense matrices************************************************
647  template< typename MT // Type of the target dense matrix
648  , bool SO > // Storage order of the target dense matrix
649  friend inline typename EnableIf< UseSMPAssign<MT> >::Type
650  smpSubAssign( DenseMatrix<MT,SO>& lhs, const SMatSMatAddExpr& rhs )
651  {
653 
654  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
655  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
656 
657  smpSubAssign( ~lhs, rhs.lhs_ );
658  smpSubAssign( ~lhs, rhs.rhs_ );
659  }
661  //**********************************************************************************************
662 
663  //**SMP subtraction assignment to sparse matrices***********************************************
664  // No special implementation for the SMP subtraction assignment to sparse matrices.
665  //**********************************************************************************************
666 
667  //**SMP multiplication assignment to dense matrices*********************************************
668  // No special implementation for the SMP multiplication assignment to dense matrices.
669  //**********************************************************************************************
670 
671  //**SMP multiplication assignment to sparse matrices********************************************
672  // No special implementation for the SMP multiplication assignment to sparse matrices.
673  //**********************************************************************************************
674 
675  //**Compile time checks*************************************************************************
682  //**********************************************************************************************
683 };
684 //*************************************************************************************************
685 
686 
687 
688 
689 //=================================================================================================
690 //
691 // GLOBAL BINARY ARITHMETIC OPERATORS
692 //
693 //=================================================================================================
694 
695 //*************************************************************************************************
721 template< typename T1 // Type of the left-hand side sparse matrix
722  , typename T2 > // Type of the right-hand side sparse matrix
723 inline const SMatSMatAddExpr<T1,T2>
725 {
727 
728  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
729  throw std::invalid_argument( "Matrix sizes do not match" );
730 
731  return SMatSMatAddExpr<T1,T2>( ~lhs, ~rhs );
732 }
733 //*************************************************************************************************
734 
735 
736 
737 
738 //=================================================================================================
739 //
740 // EXPRESSION TRAIT SPECIALIZATIONS
741 //
742 //=================================================================================================
743 
744 //*************************************************************************************************
746 template< typename MT1, typename MT2, bool AF >
747 struct SubmatrixExprTrait< SMatSMatAddExpr<MT1,MT2>, AF >
748 {
749  public:
750  //**********************************************************************************************
751  typedef typename AddExprTrait< typename SubmatrixExprTrait<const MT1,AF>::Type
752  , typename SubmatrixExprTrait<const MT2,AF>::Type >::Type Type;
753  //**********************************************************************************************
754 };
756 //*************************************************************************************************
757 
758 
759 //*************************************************************************************************
761 template< typename MT1, typename MT2 >
762 struct RowExprTrait< SMatSMatAddExpr<MT1,MT2> >
763 {
764  public:
765  //**********************************************************************************************
766  typedef typename AddExprTrait< typename RowExprTrait<const MT1>::Type
767  , typename RowExprTrait<const MT2>::Type >::Type Type;
768  //**********************************************************************************************
769 };
771 //*************************************************************************************************
772 
773 
774 //*************************************************************************************************
776 template< typename MT1, typename MT2 >
777 struct ColumnExprTrait< SMatSMatAddExpr<MT1,MT2> >
778 {
779  public:
780  //**********************************************************************************************
781  typedef typename AddExprTrait< typename ColumnExprTrait<const MT1>::Type
782  , typename ColumnExprTrait<const MT2>::Type >::Type Type;
783  //**********************************************************************************************
784 };
786 //*************************************************************************************************
787 
788 } // namespace blaze
789 
790 #endif
Evaluation of the return type of an addition expression.Via this type trait it is possible to evaluat...
Definition: AddExprTrait.h:103
Compile time check whether the given type is a temporary vector or matrix type.This type trait class ...
Definition: IsTemporary.h:87
RightOperand rhs_
Right-hand side sparse matrix of the addition expression.
Definition: SMatSMatAddExpr.h:270
LeftOperand leftOperand() const
Returns the left-hand side sparse matrix operand.
Definition: SMatSMatAddExpr.h:228
void smpSubAssign(DenseMatrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the SMP subtraction assignment of a matrix to dense matrix.
Definition: DenseMatrix.h:152
RightOperand rightOperand() const
Returns the right-hand side sparse matrix operand.
Definition: SMatSMatAddExpr.h:238
bool isDefault(const DynamicMatrix< Type, SO > &m)
Returns whether the given dense matrix is in default state.
Definition: DynamicMatrix.h:4642
Efficient implementation of a compressed matrix.The CompressedMatrix class template is the represent...
Definition: CompressedMatrix.h:199
Header file for the ColumnExprTrait class template.
size_t nonZeros() const
Returns the number of non-zero elements in the sparse matrix.
Definition: SMatSMatAddExpr.h:207
const This & CompositeType
Data type for composite expression templates.
Definition: CompressedMatrix.h:2408
Type ElementType
Type of the sparse matrix elements.
Definition: CompressedMatrix.h:251
Header file for the AddExprTrait class template.
const DMatSerialExpr< MT, SO > serial(const DenseMatrix< MT, SO > &dm)
Forces the serial evaluation of the given dense matrix expression dm.
Definition: DMatSerialExpr.h:690
Header file for the Computation base class.
size_t columns() const
Returns the current number of columns of the matrix.
Definition: SMatSMatAddExpr.h:197
SelectType< IsExpression< MT1 >::value, const MT1, const MT1 & >::Type LeftOperand
Composite type of the left-hand side sparse matrix expression.
Definition: SMatSMatAddExpr.h:142
Header file for the RequiresEvaluation type trait.
size_t rows() const
Returns the current number of rows of the matrix.
Definition: SMatSMatAddExpr.h:187
const ResultType CompositeType
Data type for composite expression templates.
Definition: SMatSMatAddExpr.h:139
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
Header file for the SparseMatrix base class.
Constraint on the data type.
void smpAddAssign(DenseMatrix< 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:122
Compile time type selection.The SelectType class template selects one of the two given types T1 and T...
Definition: SelectType.h:59
size_t nonZeros(size_t i) const
Returns the number of non-zero elements in the specified row.
Definition: SMatSMatAddExpr.h:218
Header file for the IsTemporary type trait class.
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: SMatSMatAddExpr.h:262
ReturnType operator()(size_t i, size_t j) const
2D-access to the matrix elements.
Definition: SMatSMatAddExpr.h:175
const SelectType< returnExpr, ExprReturnType, ElementType >::Type ReturnType
Return type for expression template evaluations.
Definition: SMatSMatAddExpr.h:136
MT1::ResultType RT1
Result type of the left-hand side sparse matrix expression.
Definition: SMatSMatAddExpr.h:92
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: SMatSMatAddExpr.h:132
const Element * ConstIterator
Iterator over constant elements.
Definition: CompressedMatrix.h:2412
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:271
const DenseIterator< Type > operator+(const DenseIterator< Type > &it, ptrdiff_t inc)
Addition between a DenseIterator and an integral value.
Definition: DenseIterator.h:556
Constraints on the storage order of matrix types.
ResultType::OppositeType OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: SMatSMatAddExpr.h:131
MT2::CompositeType CT2
Composite type of the right-hand side sparse matrix expression.
Definition: SMatSMatAddExpr.h:95
Header file for the SelectType class template.
Header file for the RowExprTrait class template.
Header file for all forward declarations for expression class templates.
Header file for the serial shim.
MT2::ResultType RT2
Result type of the right-hand side sparse matrix expression.
Definition: SMatSMatAddExpr.h:93
MT1::CompositeType CT1
Composite type of the left-hand side sparse matrix expression.
Definition: SMatSMatAddExpr.h:94
Compile time check for resizable data types.This type trait tests whether the given data type is a re...
Definition: IsResizable.h:75
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:2407
Removal of reference modifiers.The RemoveCV type trait removes any reference modifiers from the given...
Definition: RemoveReference.h:69
MT2::ReturnType RN2
Return type of the right-hand side sparse matrix expression.
Definition: SMatSMatAddExpr.h:97
Header file for run time assertion macros.
Base template for the AddTrait class.
Definition: AddTrait.h:141
Header file for the addition trait.
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:301
MT1::ReturnType RN1
Return type of the left-hand side sparse matrix expression.
Definition: SMatSMatAddExpr.h:96
AddExprTrait< RN1, RN2 >::Type ExprReturnType
Expression return type for the subscript operator.
Definition: SMatSMatAddExpr.h:110
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:331
AddTrait< RT1, RT2 >::Type ResultType
Result type for expression template evaluations.
Definition: SMatSMatAddExpr.h:130
Header file for the isDefault shim.
Header file for the MatMatAddExpr base class.
Header file for the RemoveReference type trait.
ResultType::ElementType ElementType
Resulting element type.
Definition: SMatSMatAddExpr.h:133
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: SMatSMatAddExpr.h:250
SelectType< IsExpression< MT2 >::value, const MT2, const MT2 & >::Type RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: SMatSMatAddExpr.h:145
Header file for the IsComputation type trait class.
Expression object for sparse matrix-sparse matrix additions.The SMatSMatAddExpr class represents the ...
Definition: Forward.h:96
#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:2403
SMatSMatAddExpr(const MT1 &lhs, const MT2 &rhs)
Constructor for the SMatSMatAddExpr class.
Definition: SMatSMatAddExpr.h:159
size_t columns(const Matrix< MT, SO > &m)
Returns the current number of columns of the matrix.
Definition: Matrix.h:170
Header file for basic type definitions.
SMatSMatAddExpr< MT1, MT2 > This
Type of this SMatSMatAddExpr instance.
Definition: SMatSMatAddExpr.h:129
LeftOperand lhs_
Left-hand side sparse matrix of the addition expression.
Definition: SMatSMatAddExpr.h:269
Header file for the IsResizable type trait.
size_t rows(const Matrix< MT, SO > &m)
Returns the current number of rows of the matrix.
Definition: Matrix.h:154
#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
Header file for the IsExpression type trait class.
Header file for the FunctionTrace class.