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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 <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 TSMATTSMATADDEXPR
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 TSMatTSMatAddExpr : public SparseMatrix< TSMatTSMatAddExpr<MT1,MT2>, true >
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  public:
114  //**Type definitions****************************************************************************
120 
123 
125  typedef const ResultType CompositeType;
126 
128  typedef typename SelectType< IsExpression<MT1>::value, const MT1, const MT1& >::Type LeftOperand;
129 
131  typedef typename SelectType< IsExpression<MT2>::value, const MT2, const MT2& >::Type RightOperand;
132  //**********************************************************************************************
133 
134  //**Compilation flags***************************************************************************
136  enum { smpAssignable = 0 };
137  //**********************************************************************************************
138 
139  //**Constructor*********************************************************************************
145  explicit inline TSMatTSMatAddExpr( const MT1& lhs, const MT2& rhs )
146  : lhs_( lhs ) // Left-hand side sparse matrix of the addition expression
147  , rhs_( rhs ) // Right-hand side sparse matrix of the addition expression
148  {
149  BLAZE_INTERNAL_ASSERT( lhs.rows() == rhs.rows() , "Invalid number of rows" );
150  BLAZE_INTERNAL_ASSERT( lhs.columns() == rhs.columns(), "Invalid number of columns" );
151  }
152  //**********************************************************************************************
153 
154  //**Access operator*****************************************************************************
161  inline ReturnType operator()( size_t i, size_t j ) const {
162  BLAZE_INTERNAL_ASSERT( i < lhs_.rows() , "Invalid row access index" );
163  BLAZE_INTERNAL_ASSERT( j < lhs_.columns(), "Invalid column access index" );
164  return lhs_(i,j) + rhs_(i,j);
165  }
166  //**********************************************************************************************
167 
168  //**Rows function*******************************************************************************
173  inline size_t rows() const {
174  return lhs_.rows();
175  }
176  //**********************************************************************************************
177 
178  //**Columns function****************************************************************************
183  inline size_t columns() const {
184  return lhs_.columns();
185  }
186  //**********************************************************************************************
187 
188  //**NonZeros function***************************************************************************
193  inline size_t nonZeros() const {
194  return lhs_.nonZeros() + rhs_.nonZeros();
195  }
196  //**********************************************************************************************
197 
198  //**NonZeros function***************************************************************************
204  inline size_t nonZeros( size_t i ) const {
205  return lhs_.nonZeros(i) + rhs_.nonZeros(i);
206  }
207  //**********************************************************************************************
208 
209  //**Left operand access*************************************************************************
214  inline LeftOperand leftOperand() const {
215  return lhs_;
216  }
217  //**********************************************************************************************
218 
219  //**Right operand access************************************************************************
224  inline RightOperand rightOperand() const {
225  return rhs_;
226  }
227  //**********************************************************************************************
228 
229  //**********************************************************************************************
235  template< typename T >
236  inline bool canAlias( const T* alias ) const {
237  return ( lhs_.canAlias( alias ) || rhs_.canAlias( alias ) );
238  }
239  //**********************************************************************************************
240 
241  //**********************************************************************************************
247  template< typename T >
248  inline bool isAliased( const T* alias ) const {
249  return ( lhs_.isAliased( alias ) || rhs_.isAliased( alias ) );
250  }
251  //**********************************************************************************************
252 
253  private:
254  //**Member variables****************************************************************************
257  //**********************************************************************************************
258 
259  //**Assignment to dense matrices****************************************************************
272  template< typename MT // Type of the target dense matrix
273  , bool SO > // Storage order of the target dense matrix
274  friend inline void assign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
275  {
277 
278  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
279  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
280 
281  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
282 
283  assign( ~lhs, rhs.lhs_ );
284 
286  addAssign( ~lhs, rhs.rhs_ );
287  }
288  else
289  {
290  CT2 B( rhs.rhs_ ); // Evaluation of the right-hand side sparse matrix operand
291 
292  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
293  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
294  BLAZE_INTERNAL_ASSERT( B.rows() == (~lhs).rows() , "Invalid number of rows" );
295  BLAZE_INTERNAL_ASSERT( B.columns() == (~lhs).columns() , "Invalid number of columns" );
296 
297  for( size_t j=0UL; j<(~lhs).columns(); ++j ) {
298  const RightIterator end( B.end(j) );
299  for( RightIterator element=B.begin(j); element!=end; ++element ) {
300  if( isDefault( (~lhs)(element->index(),j) ) )
301  (~lhs)(element->index(),j) = element->value();
302  else
303  (~lhs)(element->index(),j) += element->value();
304  }
305  }
306  }
307  }
309  //**********************************************************************************************
310 
311  //**Assignment to row-major sparse matrices*****************************************************
324  template< typename MT > // Type of the target sparse matrix
325  friend inline void assign( SparseMatrix<MT,false>& lhs, const TSMatTSMatAddExpr& rhs )
326  {
328 
329  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
330  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
331 
332  typedef typename RemoveReference<CT1>::Type::ConstIterator LeftIterator;
333  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
334 
335  CT1 A( rhs.lhs_ ); // Evaluation of the left-hand side sparse matrix operand
336  CT2 B( rhs.rhs_ ); // Evaluation of the right-hand side sparse matrix operand
337 
338  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
339  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
340  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
341  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
342  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
343  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
344 
345  const size_t m( rhs.rows() );
346  const size_t n( rhs.columns() );
347 
348  // Counting the number of elements per column
349  std::vector<size_t> nonzeros( m, 0UL );
350  for( size_t j=0UL; j<n; ++j )
351  {
352  const LeftIterator lend( A.end(j) );
353  const RightIterator rend( B.end(j) );
354 
355  LeftIterator l( A.begin(j) );
356  RightIterator r( B.begin(j) );
357 
358  while( l != lend && r != rend )
359  {
360  if( l->index() < r->index() ) {
361  ++nonzeros[l->index()];
362  ++l;
363  }
364  else if( l->index() > r->index() ) {
365  ++nonzeros[r->index()];
366  ++r;
367  }
368  else {
369  ++nonzeros[l->index()];
370  ++l;
371  ++r;
372  }
373  }
374 
375  while( l != lend ) {
376  ++nonzeros[l->index()];
377  ++l;
378  }
379 
380  while( r != rend ) {
381  ++nonzeros[r->index()];
382  ++r;
383  }
384  }
385 
386  // Resizing the left-hand side sparse matrix
387  for( size_t i=0UL; i<m; ++i ) {
388  (~lhs).reserve( i, nonzeros[i] );
389  }
390 
391  // Performing the matrix addition
392  for( size_t j=0UL; j<n; ++j )
393  {
394  const LeftIterator lend( A.end(j) );
395  const RightIterator rend( B.end(j) );
396 
397  LeftIterator l( A.begin(j) );
398  RightIterator r( B.begin(j) );
399 
400  while( l != lend && r != rend )
401  {
402  if( l->index() < r->index() ) {
403  (~lhs).append( l->index(), j, l->value() );
404  ++l;
405  }
406  else if( l->index() > r->index() ) {
407  (~lhs).append( r->index(), j, r->value() );
408  ++r;
409  }
410  else {
411  (~lhs).append( l->index(), j, l->value()+r->value() );
412  ++l;
413  ++r;
414  }
415  }
416 
417  while( l != lend ) {
418  (~lhs).append( l->index(), j, l->value() );
419  ++l;
420  }
421 
422  while( r != rend ) {
423  (~lhs).append( r->index(), j, r->value() );
424  ++r;
425  }
426  }
427  }
429  //**********************************************************************************************
430 
431  //**Assignment to column-major sparse matrices**************************************************
444  template< typename MT > // Type of the target sparse matrix
445  friend inline void assign( SparseMatrix<MT,true>& lhs, const TSMatTSMatAddExpr& rhs )
446  {
448 
449  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
450  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
451 
452  typedef typename RemoveReference<CT1>::Type::ConstIterator LeftIterator;
453  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
454 
455  CT1 A( rhs.lhs_ ); // Evaluation of the left-hand side sparse matrix operand
456  CT2 B( rhs.rhs_ ); // Evaluation of the right-hand side sparse matrix operand
457 
458  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
459  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
460  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
461  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
462  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
463  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
464 
465  // Final memory allocation (based on the evaluated operands)
466  (~lhs).reserve( A.nonZeros() + B.nonZeros() );
467 
468  // Performing the matrix addition
469  for( size_t j=0UL; j<(~lhs).columns(); ++j )
470  {
471  const LeftIterator lend( A.end(j) );
472  const RightIterator rend( B.end(j) );
473 
474  LeftIterator l( A.begin(j) );
475  RightIterator r( B.begin(j) );
476 
477  while( l != lend && r != rend )
478  {
479  if( l->index() < r->index() ) {
480  (~lhs).append( l->index(), j, l->value() );
481  ++l;
482  }
483  else if( l->index() > r->index() ) {
484  (~lhs).append( r->index(), j, r->value() );
485  ++r;
486  }
487  else {
488  (~lhs).append( l->index(), j, l->value()+r->value() );
489  ++l;
490  ++r;
491  }
492  }
493 
494  while( l != lend ) {
495  (~lhs).append( l->index(), j, l->value() );
496  ++l;
497  }
498 
499  while( r != rend ) {
500  (~lhs).append( r->index(), j, r->value() );
501  ++r;
502  }
503 
504  (~lhs).finalize( j );
505  }
506  }
508  //**********************************************************************************************
509 
510  //**Addition assignment to dense matrices*******************************************************
523  template< typename MT // Type of the target dense matrix
524  , bool SO > // Storage order of the target dense matrix
525  friend inline void addAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
526  {
528 
529  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
530  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
531 
532  smpAddAssign( ~lhs, rhs.lhs_ );
533  smpAddAssign( ~lhs, rhs.rhs_ );
534  }
536  //**********************************************************************************************
537 
538  //**Addition assignment to sparse matrices******************************************************
539  // No special implementation for the addition assignment to sparse matrices.
540  //**********************************************************************************************
541 
542  //**Subtraction assignment to dense matrices****************************************************
555  template< typename MT // Type of the target dense matrix
556  , bool SO > // Storage order of the target dense matrix
557  friend inline void subAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
558  {
560 
561  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
562  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
563 
564  smpSubAssign( ~lhs, rhs.lhs_ );
565  smpSubAssign( ~lhs, rhs.rhs_ );
566  }
568  //**********************************************************************************************
569 
570  //**Subtraction assignment to sparse matrices***************************************************
571  // No special implementation for the subtraction assignment to sparse matrices.
572  //**********************************************************************************************
573 
574  //**Multiplication assignment to dense matrices*************************************************
575  // No special implementation for the multiplication assignment to dense matrices.
576  //**********************************************************************************************
577 
578  //**Multiplication assignment to sparse matrices************************************************
579  // No special implementation for the multiplication assignment to sparse matrices.
580  //**********************************************************************************************
581 
582  //**Compile time checks*************************************************************************
589  //**********************************************************************************************
590 };
591 //*************************************************************************************************
592 
593 
594 
595 
596 //=================================================================================================
597 //
598 // GLOBAL BINARY ARITHMETIC OPERATORS
599 //
600 //=================================================================================================
601 
602 //*************************************************************************************************
628 template< typename T1 // Type of the left-hand side sparse matrix
629  , typename T2 > // Type of the right-hand side sparse matrix
630 inline const TSMatTSMatAddExpr<T1,T2>
632 {
634 
635  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
636  throw std::invalid_argument( "Matrix sizes do not match" );
637 
638  return TSMatTSMatAddExpr<T1,T2>( ~lhs, ~rhs );
639 }
640 //*************************************************************************************************
641 
642 
643 
644 
645 //=================================================================================================
646 //
647 // EXPRESSION TRAIT SPECIALIZATIONS
648 //
649 //=================================================================================================
650 
651 //*************************************************************************************************
653 template< typename MT1, typename MT2, bool AF >
654 struct SubmatrixExprTrait< TSMatTSMatAddExpr<MT1,MT2>, AF >
655 {
656  public:
657  //**********************************************************************************************
658  typedef typename AddExprTrait< typename SubmatrixExprTrait<const MT1,AF>::Type
659  , typename SubmatrixExprTrait<const MT2,AF>::Type >::Type Type;
660  //**********************************************************************************************
661 };
663 //*************************************************************************************************
664 
665 
666 //*************************************************************************************************
668 template< typename MT1, typename MT2 >
669 struct RowExprTrait< TSMatTSMatAddExpr<MT1,MT2> >
670 {
671  public:
672  //**********************************************************************************************
673  typedef typename AddExprTrait< typename RowExprTrait<const MT1>::Type
674  , typename RowExprTrait<const MT2>::Type >::Type Type;
675  //**********************************************************************************************
676 };
678 //*************************************************************************************************
679 
680 
681 //*************************************************************************************************
683 template< typename MT1, typename MT2 >
684 struct ColumnExprTrait< TSMatTSMatAddExpr<MT1,MT2> >
685 {
686  public:
687  //**********************************************************************************************
688  typedef typename AddExprTrait< typename ColumnExprTrait<const MT1>::Type
689  , typename ColumnExprTrait<const MT2>::Type >::Type Type;
690  //**********************************************************************************************
691 };
693 //*************************************************************************************************
694 
695 } // namespace blaze
696 
697 #endif
ResultType::OppositeType OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: TSMatTSMatAddExpr.h:117
Evaluation of the return type of an addition expression.Via this type trait it is possible to evaluat...
Definition: AddExprTrait.h:103
AddTrait< RT1, RT2 >::Type ResultType
Result type for expression template evaluations.
Definition: TSMatTSMatAddExpr.h:116
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: TSMatTSMatAddExpr.h:118
Compile time check whether the given type is a temporary vector or matrix type.This type trait class ...
Definition: IsTemporary.h:87
ReturnType operator()(size_t i, size_t j) const
2D-access to the matrix elements.
Definition: TSMatTSMatAddExpr.h:161
MT1::CompositeType CT1
Composite type of the left-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:96
SelectType< IsExpression< MT2 >::value, const MT2, const MT2 & >::Type RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:131
ResultType::ElementType ElementType
Resulting element type.
Definition: TSMatTSMatAddExpr.h:119
LeftOperand lhs_
Left-hand side sparse matrix of the addition expression.
Definition: TSMatTSMatAddExpr.h:255
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:151
bool isDefault(const DynamicMatrix< Type, SO > &m)
Returns whether the given dense matrix is in default state.
Definition: DynamicMatrix.h:4622
Efficient implementation of a compressed matrix.The CompressedMatrix class template is the represent...
Definition: CompressedMatrix.h:197
MT2::ReturnType RN2
Return type of the right-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:95
const SelectType< returnExpr, ExprReturnType, ElementType >::Type ReturnType
Return type for expression template evaluations.
Definition: TSMatTSMatAddExpr.h:122
Header file for the ColumnExprTrait class template.
const This & CompositeType
Data type for composite expression templates.
Definition: CompressedMatrix.h:2384
Type ElementType
Type of the sparse matrix elements.
Definition: CompressedMatrix.h:249
Header file for the AddExprTrait class template.
Header file for the Computation base class.
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: TSMatTSMatAddExpr.h:236
SelectType< IsExpression< MT1 >::value, const MT1, const MT1 & >::Type LeftOperand
Composite type of the left-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:128
Header file for the RequiresEvaluation type trait.
AddExprTrait< RN1, RN2 >::Type ExprReturnType
Expression return type for the subscript operator.
Definition: TSMatTSMatAddExpr.h:110
Base class for dense matrices.The DenseMatrix class is a base class for all dense matrix classes...
Definition: DenseMatrix.h:70
MT2::ResultType RT2
Result type of the right-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:93
Base class for sparse matrices.The SparseMatrix class is a base class for all sparse matrix classes...
Definition: Forward.h:104
size_t nonZeros() const
Returns the number of non-zero elements in the sparse matrix.
Definition: TSMatTSMatAddExpr.h:193
size_t nonZeros(size_t i) const
Returns the number of non-zero elements in the specified row.
Definition: TSMatTSMatAddExpr.h:204
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:121
size_t rows() const
Returns the current number of rows of the matrix.
Definition: TSMatTSMatAddExpr.h:173
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
Expression object for transpose sparse matrix-transpose sparse matrix additions.The TSMatTSMatAddExpr...
Definition: Forward.h:140
const Element * ConstIterator
Iterator over constant elements.
Definition: CompressedMatrix.h:2388
Header file for the dense matrix SMP implementation.
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:179
const DenseIterator< Type > operator+(const DenseIterator< Type > &it, ptrdiff_t inc)
Addition between a DenseIterator and an integral value.
Definition: DenseIterator.h:556
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: TSMatTSMatAddExpr.h:248
Constraints on the storage order of matrix types.
MT1::ResultType RT1
Result type of the left-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:92
Header file for the SelectType class template.
Header file for the RowExprTrait class template.
Header file for all forward declarations for expression class templates.
const ResultType CompositeType
Data type for composite expression templates.
Definition: TSMatTSMatAddExpr.h:125
size_t columns() const
Returns the current number of columns of the matrix.
Definition: TSMatTSMatAddExpr.h:183
Compile time check for resizable data types.This type trait tests whether the given data type is a re...
Definition: IsResizable.h:75
MT2::CompositeType CT2
Composite type of the right-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:97
Header file for the SubmatrixExprTrait class template.
const Type & ReturnType
Return type for expression template evaluations.
Definition: CompressedMatrix.h:2383
Removal of reference modifiers.The RemoveCV type trait removes any reference modifiers from the given...
Definition: RemoveReference.h:69
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:209
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:239
Header file for the isDefault shim.
Header file for the MatMatAddExpr base class.
LeftOperand leftOperand() const
Returns the left-hand side transpose sparse matrix operand.
Definition: TSMatTSMatAddExpr.h:214
Header file for the RemoveReference type trait.
Header file for the IsComputation type trait class.
TSMatTSMatAddExpr< MT1, MT2 > This
Type of this TSMatTSMatAddExpr instance.
Definition: TSMatTSMatAddExpr.h:115
RightOperand rhs_
Right-hand side sparse matrix of the addition expression.
Definition: TSMatTSMatAddExpr.h:256
#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:2379
size_t columns(const Matrix< MT, SO > &m)
Returns the current number of columns of the matrix.
Definition: Matrix.h:154
Header file for basic type definitions.
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:138
#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
TSMatTSMatAddExpr(const MT1 &lhs, const MT2 &rhs)
Constructor for the TSMatTSMatAddExpr class.
Definition: TSMatTSMatAddExpr.h:145
RightOperand rightOperand() const
Returns the right-hand side transpose sparse matrix operand.
Definition: TSMatTSMatAddExpr.h:224
#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
MT1::ReturnType RN1
Return type of the left-hand side sparse matrix expression.
Definition: TSMatTSMatAddExpr.h:94
Header file for the IsExpression type trait class.
Header file for the FunctionTrace class.