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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 <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 SMATTSMATADDEXPR
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 SMatTSMatAddExpr : public SparseMatrix< SMatTSMatAddExpr<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::ReturnType RN1;
95  typedef typename MT2::ReturnType RN2;
96  typedef typename MT1::CompositeType CT1;
97  typedef typename MT2::CompositeType CT2;
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 SMatTSMatAddExpr( 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 SMatTSMatAddExpr& 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 j=0UL; j<(~lhs).columns(); ++j ) {
311  const RightIterator end( B.end(j) );
312  for( RightIterator element=B.begin(j); element!=end; ++element ) {
313  if( isDefault( (~lhs)(element->index(),j) ) )
314  (~lhs)(element->index(),j) = element->value();
315  else
316  (~lhs)(element->index(),j) += element->value();
317  }
318  }
319  }
320  }
322  //**********************************************************************************************
323 
324  //**Assignment to row-major sparse matrices*****************************************************
337  template< typename MT > // Type of the target sparse matrix
338  friend inline void assign( SparseMatrix<MT,false>& lhs, const SMatTSMatAddExpr& rhs )
339  {
341 
342  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
343  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
344 
345  typedef typename RemoveReference<CT1>::Type::ConstIterator LeftIterator;
346  typedef typename RT2::OppositeType::ConstIterator RightIterator;
347 
348  // Evaluation of the left-hand side sparse matrix operand
349  CT1 A( serial( rhs.lhs_ ) );
350 
351  // Evaluation of the right-hand side sparse matrix operand
352  const typename RT2::OppositeType B( serial( rhs.rhs_ ) );
353 
354  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
355  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
356  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
357  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
358  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
359  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
360 
361  // Final memory allocation (based on the evaluated operands)
362  (~lhs).reserve( A.nonZeros() + B.nonZeros() );
363 
364  // Performing the matrix addition
365  for( size_t i=0UL; i<(~lhs).rows(); ++i )
366  {
367  const LeftIterator lend( A.end(i) );
368  const RightIterator rend( B.end(i) );
369 
370  LeftIterator l( A.begin(i) );
371  RightIterator r( B.begin(i) );
372 
373  while( l != lend && r != rend )
374  {
375  if( l->index() < r->index() ) {
376  (~lhs).append( i, l->index(), l->value() );
377  ++l;
378  }
379  else if( l->index() > r->index() ) {
380  (~lhs).append( i, r->index(), r->value() );
381  ++r;
382  }
383  else {
384  (~lhs).append( i, l->index(), l->value()+r->value() );
385  ++l;
386  ++r;
387  }
388  }
389 
390  while( l != lend ) {
391  (~lhs).append( i, l->index(), l->value() );
392  ++l;
393  }
394 
395  while( r != rend ) {
396  (~lhs).append( i, r->index(), r->value() );
397  ++r;
398  }
399 
400  (~lhs).finalize( i );
401  }
402  }
404  //**********************************************************************************************
405 
406  //**Assignment to column-major sparse matrices**************************************************
419  template< typename MT > // Type of the target sparse matrix
420  friend inline void assign( SparseMatrix<MT,true>& lhs, const SMatTSMatAddExpr& rhs )
421  {
423 
424  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
425  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
426 
427  typedef typename RT1::OppositeType::ConstIterator LeftIterator;
428  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
429 
430  // Evaluation of the left-hand side sparse matrix operand
431  const typename RT1::OppositeType A( serial( rhs.lhs_ ) );
432 
433  // Evaluation of the right-hand side sparse matrix operand
434  CT2 B( serial( rhs.rhs_ ) );
435 
436  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
437  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
438  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
439  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
440  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
441  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
442 
443  // Final memory allocation (based on the evaluated operands)
444  (~lhs).reserve( A.nonZeros() + B.nonZeros() );
445 
446  // Performing the matrix addition
447  for( size_t j=0UL; j<(~lhs).columns(); ++j )
448  {
449  const LeftIterator lend( A.end(j) );
450  const RightIterator rend( B.end(j) );
451 
452  LeftIterator l( A.begin(j) );
453  RightIterator r( B.begin(j) );
454 
455  while( l != lend && r != rend )
456  {
457  if( l->index() < r->index() ) {
458  (~lhs).append( l->index(), j, l->value() );
459  ++l;
460  }
461  else if( l->index() > r->index() ) {
462  (~lhs).append( r->index(), j, r->value() );
463  ++r;
464  }
465  else {
466  (~lhs).append( l->index(), j, l->value()+r->value() );
467  ++l;
468  ++r;
469  }
470  }
471 
472  while( l != lend ) {
473  (~lhs).append( l->index(), j, l->value() );
474  ++l;
475  }
476 
477  while( r != rend ) {
478  (~lhs).append( r->index(), j, r->value() );
479  ++r;
480  }
481 
482  (~lhs).finalize( j );
483  }
484  }
486  //**********************************************************************************************
487 
488  //**Addition assignment to dense matrices*******************************************************
501  template< typename MT // Type of the target dense matrix
502  , bool SO > // Storage order of the target dense matrix
503  friend inline void addAssign( DenseMatrix<MT,SO>& lhs, const SMatTSMatAddExpr& rhs )
504  {
506 
507  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
508  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
509 
510  addAssign( ~lhs, rhs.lhs_ );
511  addAssign( ~lhs, rhs.rhs_ );
512  }
514  //**********************************************************************************************
515 
516  //**Addition assignment to sparse matrices******************************************************
517  // No special implementation for the addition assignment to sparse matrices.
518  //**********************************************************************************************
519 
520  //**Subtraction 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 subAssign( DenseMatrix<MT,SO>& lhs, const SMatTSMatAddExpr& 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  subAssign( ~lhs, rhs.lhs_ );
543  subAssign( ~lhs, rhs.rhs_ );
544  }
546  //**********************************************************************************************
547 
548  //**Subtraction assignment to sparse matrices***************************************************
549  // No special implementation for the subtraction assignment to sparse matrices.
550  //**********************************************************************************************
551 
552  //**Multiplication assignment to dense matrices*************************************************
553  // No special implementation for the multiplication assignment to dense matrices.
554  //**********************************************************************************************
555 
556  //**Multiplication assignment to sparse matrices************************************************
557  // No special implementation for the multiplication assignment to sparse matrices.
558  //**********************************************************************************************
559 
560  //**SMP assignment to dense matrices************************************************************
561  // No special implementation for the SMP assignment to dense matrices.
562  //**********************************************************************************************
563 
564  //**SMP assignment to sparse matrices***********************************************************
565  // No special implementation for the SMP assignment to sparse matrices.
566  //**********************************************************************************************
567 
568  //**SMP addition assignment to dense matrices***************************************************
583  template< typename MT // Type of the target dense matrix
584  , bool SO > // Storage order of the target dense matrix
585  friend inline typename EnableIf< UseSMPAssign<MT> >::Type
586  smpAddAssign( DenseMatrix<MT,SO>& lhs, const SMatTSMatAddExpr& rhs )
587  {
589 
590  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
591  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
592 
593  smpAddAssign( ~lhs, rhs.lhs_ );
594  smpAddAssign( ~lhs, rhs.rhs_ );
595  }
597  //**********************************************************************************************
598 
599  //**SMP addition assignment to sparse matrices**************************************************
600  // No special implementation for the SMP addition assignment to sparse matrices.
601  //**********************************************************************************************
602 
603  //**SMP subtraction assignment to dense matrices************************************************
618  template< typename MT // Type of the target dense matrix
619  , bool SO > // Storage order of the target dense matrix
620  friend inline typename EnableIf< UseSMPAssign<MT> >::Type
621  smpSubAssign( DenseMatrix<MT,SO>& lhs, const SMatTSMatAddExpr& rhs )
622  {
624 
625  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
626  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
627 
628  smpSubAssign( ~lhs, rhs.lhs_ );
629  smpSubAssign( ~lhs, rhs.rhs_ );
630  }
632  //**********************************************************************************************
633 
634  //**SMP subtraction assignment to sparse matrices***********************************************
635  // No special implementation for the SMP subtraction assignment to sparse matrices.
636  //**********************************************************************************************
637 
638  //**SMP multiplication assignment to dense matrices*********************************************
639  // No special implementation for the SMP multiplication assignment to dense matrices.
640  //**********************************************************************************************
641 
642  //**SMP multiplication assignment to sparse matrices********************************************
643  // No special implementation for the SMP multiplication assignment to sparse matrices.
644  //**********************************************************************************************
645 
646  //**Compile time checks*************************************************************************
653  //**********************************************************************************************
654 };
655 //*************************************************************************************************
656 
657 
658 
659 
660 //=================================================================================================
661 //
662 // GLOBAL BINARY ARITHMETIC OPERATORS
663 //
664 //=================================================================================================
665 
666 //*************************************************************************************************
695 template< typename T1 // Type of the left-hand side sparse matrix
696  , typename T2 > // Type of the right-hand side sparse matrix
697 inline const SMatTSMatAddExpr<T1,T2>
699 {
701 
702  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
703  throw std::invalid_argument( "Matrix sizes do not match" );
704 
705  return SMatTSMatAddExpr<T1,T2>( ~lhs, ~rhs );
706 }
707 //*************************************************************************************************
708 
709 
710 //*************************************************************************************************
739 template< typename T1 // Type of the left-hand side sparse matrix
740  , typename T2 > // Type of the right-hand side sparse matrix
741 inline const SMatTSMatAddExpr<T2,T1>
743 {
745 
746  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
747  throw std::invalid_argument( "Matrix sizes do not match" );
748 
749  return SMatTSMatAddExpr<T2,T1>( ~rhs, ~lhs );
750 }
751 //*************************************************************************************************
752 
753 
754 
755 
756 //=================================================================================================
757 //
758 // EXPRESSION TRAIT SPECIALIZATIONS
759 //
760 //=================================================================================================
761 
762 //*************************************************************************************************
764 template< typename MT1, typename MT2, bool AF >
765 struct SubmatrixExprTrait< SMatTSMatAddExpr<MT1,MT2>, AF >
766 {
767  public:
768  //**********************************************************************************************
769  typedef typename AddExprTrait< typename SubmatrixExprTrait<const MT1,AF>::Type
770  , typename SubmatrixExprTrait<const MT2,AF>::Type >::Type Type;
771  //**********************************************************************************************
772 };
774 //*************************************************************************************************
775 
776 
777 //*************************************************************************************************
779 template< typename MT1, typename MT2 >
780 struct RowExprTrait< SMatTSMatAddExpr<MT1,MT2> >
781 {
782  public:
783  //**********************************************************************************************
784  typedef typename AddExprTrait< typename RowExprTrait<const MT1>::Type
785  , typename RowExprTrait<const MT2>::Type >::Type Type;
786  //**********************************************************************************************
787 };
789 //*************************************************************************************************
790 
791 
792 //*************************************************************************************************
794 template< typename MT1, typename MT2 >
795 struct ColumnExprTrait< SMatTSMatAddExpr<MT1,MT2> >
796 {
797  public:
798  //**********************************************************************************************
799  typedef typename AddExprTrait< typename ColumnExprTrait<const MT1>::Type
800  , typename ColumnExprTrait<const MT2>::Type >::Type Type;
801  //**********************************************************************************************
802 };
804 //*************************************************************************************************
805 
806 } // namespace blaze
807 
808 #endif
AddExprTrait< RN1, RN2 >::Type ExprReturnType
Expression return type for the subscript operator.
Definition: SMatTSMatAddExpr.h:110
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
LeftOperand lhs_
Left-hand side sparse matrix of the addition expression.
Definition: SMatTSMatAddExpr.h:269
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
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.
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
MT1::CompositeType CT1
Composite type of the left-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:96
Header file for the AddExprTrait class template.
size_t columns() const
Returns the current number of columns of the matrix.
Definition: SMatTSMatAddExpr.h:197
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.
MT2::ReturnType RN2
Evaluation type of the right-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:95
Header file for the RequiresEvaluation type trait.
CompressedMatrix< Type, false > OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: CompressedMatrix.h:2404
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
size_t nonZeros(size_t i) const
Returns the number of non-zero elements in the specified row.
Definition: SMatTSMatAddExpr.h:218
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
ResultType::ElementType ElementType
Resulting element type.
Definition: SMatTSMatAddExpr.h:133
Compile time type selection.The SelectType class template selects one of the two given types T1 and T...
Definition: SelectType.h:59
Header file for the IsTemporary type trait class.
#define BLAZE_CONSTRAINT_MUST_BE_COLUMN_MAJOR_MATRIX_TYPE(T)
Constraint on the data type.In case the given data type T is not a column-major dense or sparse matri...
Definition: StorageOrder.h:161
const 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
const SelectType< returnExpr, ExprReturnType, ElementType >::Type ReturnType
Return type for expression template evaluations.
Definition: SMatTSMatAddExpr.h:136
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: SMatTSMatAddExpr.h:132
Constraints on the storage order of matrix types.
size_t nonZeros() const
Returns the number of non-zero elements in the sparse matrix.
Definition: SMatTSMatAddExpr.h:207
LeftOperand leftOperand() const
Returns the left-hand side sparse matrix operand.
Definition: SMatTSMatAddExpr.h:228
Header file for the SelectType class template.
Header file for the RowExprTrait class template.
Header file for all forward declarations for expression class templates.
SelectType< IsExpression< MT1 >::value, const MT1, const MT1 & >::Type LeftOperand
Composite type of the left-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:142
Header file for the serial shim.
Compile time check for resizable data types.This type trait tests whether the given data type is a re...
Definition: IsResizable.h:75
ReturnType operator()(size_t i, size_t j) const
2D-access to the matrix elements.
Definition: SMatTSMatAddExpr.h:175
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
RightOperand rhs_
Right-hand side sparse matrix of the addition expression.
Definition: SMatTSMatAddExpr.h:270
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
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
Header file for the isDefault shim.
size_t rows() const
Returns the current number of rows of the matrix.
Definition: SMatTSMatAddExpr.h:187
RightOperand rightOperand() const
Returns the right-hand side transpose sparse matrix operand.
Definition: SMatTSMatAddExpr.h:238
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: SMatTSMatAddExpr.h:250
Header file for the MatMatAddExpr base class.
Header file for the RemoveReference type trait.
const ResultType CompositeType
Data type for composite expression templates.
Definition: SMatTSMatAddExpr.h:139
Expression object for sparse matrix-transpose sparse matrix additions.The SMatTSMatAddExpr class repr...
Definition: Forward.h:104
MT1::ReturnType RN1
Evaluation type of the left-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:94
Header file for the IsComputation type trait class.
AddTrait< RT1, RT2 >::Type ResultType
Result type for expression template evaluations.
Definition: SMatTSMatAddExpr.h:130
#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
size_t columns(const Matrix< MT, SO > &m)
Returns the current number of columns of the matrix.
Definition: Matrix.h:170
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: SMatTSMatAddExpr.h:262
Header file for basic type definitions.
SMatTSMatAddExpr< MT1, MT2 > This
Type of this SMatTSMatAddExpr instance.
Definition: SMatTSMatAddExpr.h:129
MT1::ResultType RT1
Result type of the left-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:92
ResultType::OppositeType OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: SMatTSMatAddExpr.h:131
MT2::ResultType RT2
Result type of the right-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:93
MT2::CompositeType CT2
Composite type of the right-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:97
Header file for the IsResizable type trait.
SelectType< IsExpression< MT2 >::value, const MT2, const MT2 & >::Type RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:145
SMatTSMatAddExpr(const MT1 &lhs, const MT2 &rhs)
Constructor for the SMatTSMatAddExpr class.
Definition: SMatTSMatAddExpr.h:159
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.