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TSMatSMatSubExpr.h
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1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_TSMATSMATSUBEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_TSMATSMATSUBEXPR_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 TSMATSMATSUBEXPR
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 TSMatSMatSubExpr : public SparseMatrix< TSMatSMatSubExpr<MT1,MT2>, false >
87  , private MatMatSubExpr
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 TSMatSMatSubExpr( const MT1& lhs, const MT2& rhs )
160  : lhs_( lhs ) // Left-hand side sparse matrix of the subtraction expression
161  , rhs_( rhs ) // Right-hand side sparse matrix of the subtraction 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 TSMatSMatSubExpr& 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  subAssign( ~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*****************************************************
337  template< typename MT > // Type of the target sparse matrix
338  friend inline void assign( SparseMatrix<MT,false>& lhs, const TSMatSMatSubExpr& 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 RT1::OppositeType::ConstIterator LeftIterator;
346  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
347 
348  // Evaluation of the left-hand side sparse matrix operand
349  const typename RT1::OppositeType A( serial( rhs.lhs_ ) );
350 
351  // Evaluation of the right-hand side sparse matrix operand
352  CT2 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 subtraction
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 TSMatSMatSubExpr& 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 RemoveReference<CT1>::Type::ConstIterator LeftIterator;
428  typedef typename RT2::OppositeType::ConstIterator RightIterator;
429 
430  // Evaluation of the left-hand side sparse matrix operand
431  CT1 A( serial( rhs.lhs_ ) );
432 
433  // Evaluation of the right-hand side sparse matrix operand
434  const typename RT2::OppositeType 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 subtraction
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 TSMatSMatSubExpr& 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  subAssign( ~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 TSMatSMatSubExpr& 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  addAssign( ~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 TSMatSMatSubExpr& 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  smpSubAssign( ~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 TSMatSMatSubExpr& 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  smpAddAssign( ~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 TSMatSMatSubExpr<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 TSMatSMatSubExpr<T1,T2>( ~lhs, ~rhs );
706 }
707 //*************************************************************************************************
708 
709 
710 
711 
712 //=================================================================================================
713 //
714 // EXPRESSION TRAIT SPECIALIZATIONS
715 //
716 //=================================================================================================
717 
718 //*************************************************************************************************
720 template< typename MT1, typename MT2, bool AF >
721 struct SubmatrixExprTrait< TSMatSMatSubExpr<MT1,MT2>, AF >
722 {
723  public:
724  //**********************************************************************************************
725  typedef typename SubExprTrait< typename SubmatrixExprTrait<const MT1,AF>::Type
726  , typename SubmatrixExprTrait<const MT2,AF>::Type >::Type Type;
727  //**********************************************************************************************
728 };
730 //*************************************************************************************************
731 
732 
733 //*************************************************************************************************
735 template< typename MT1, typename MT2 >
736 struct RowExprTrait< TSMatSMatSubExpr<MT1,MT2> >
737 {
738  public:
739  //**********************************************************************************************
740  typedef typename SubExprTrait< typename RowExprTrait<const MT1>::Type
741  , typename RowExprTrait<const MT2>::Type >::Type Type;
742  //**********************************************************************************************
743 };
745 //*************************************************************************************************
746 
747 
748 //*************************************************************************************************
750 template< typename MT1, typename MT2 >
751 struct ColumnExprTrait< TSMatSMatSubExpr<MT1,MT2> >
752 {
753  public:
754  //**********************************************************************************************
755  typedef typename SubExprTrait< typename ColumnExprTrait<const MT1>::Type
756  , typename ColumnExprTrait<const MT2>::Type >::Type Type;
757  //**********************************************************************************************
758 };
760 //*************************************************************************************************
761 
762 } // namespace blaze
763 
764 #endif
SubTrait< RT1, RT2 >::Type ResultType
Result type for expression template evaluations.
Definition: TSMatSMatSubExpr.h:130
size_t rows() const
Returns the current number of rows of the matrix.
Definition: TSMatSMatSubExpr.h:187
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: TSMatSMatSubExpr.h:250
Compile time check whether the given type is a temporary vector or matrix type.This type trait class ...
Definition: IsTemporary.h:87
Header file for the subtraction trait.
const ResultType CompositeType
Data type for composite expression templates.
Definition: TSMatSMatSubExpr.h:139
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
ResultType::ElementType ElementType
Resulting element type.
Definition: TSMatSMatSubExpr.h:133
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
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.
Header file for the RequiresEvaluation type trait.
MT2::ResultType RT2
Result type of the right-hand side sparse matrix expression.
Definition: TSMatSMatSubExpr.h:93
CompressedMatrix< Type, false > OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: CompressedMatrix.h:2404
MT1::ReturnType RN1
Return type of the left-hand side sparse matrix expression.
Definition: TSMatSMatSubExpr.h:94
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
SubExprTrait< RN1, RN2 >::Type ExprReturnType
Expression return type for the subscript operator.
Definition: TSMatSMatSubExpr.h:110
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.
size_t nonZeros(size_t i) const
Returns the number of non-zero elements in the specified row.
Definition: TSMatSMatSubExpr.h:218
size_t nonZeros() const
Returns the number of non-zero elements in the sparse matrix.
Definition: TSMatSMatSubExpr.h:207
const SelectType< returnExpr, ExprReturnType, ElementType >::Type ReturnType
Return type for expression template evaluations.
Definition: TSMatSMatSubExpr.h:136
#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
MT1::CompositeType CT1
Composite type of the left-hand side sparse matrix expression.
Definition: TSMatSMatSubExpr.h:96
const Element * ConstIterator
Iterator over constant elements.
Definition: CompressedMatrix.h:2412
MT2::CompositeType CT2
Composite type of the right-hand side sparse matrix expression.
Definition: TSMatSMatSubExpr.h:97
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
Header file for the MatMatSubExpr base class.
LeftOperand leftOperand() const
Returns the left-hand side transpose sparse matrix operand.
Definition: TSMatSMatSubExpr.h:228
SelectType< IsExpression< MT2 >::value, const MT2, const MT2 & >::Type RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: TSMatSMatSubExpr.h:145
Constraints on the storage order of matrix types.
Evaluation of the return type of a subtraction expression.Via this type trait it is possible to evalu...
Definition: SubExprTrait.h:103
LeftOperand lhs_
Left-hand side sparse matrix of the subtraction expression.
Definition: TSMatSMatSubExpr.h:269
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::ReturnType RN2
Return type of the right-hand side sparse matrix expression.
Definition: TSMatSMatSubExpr.h:95
Compile time check for resizable data types.This type trait tests whether the given data type is a re...
Definition: IsResizable.h:75
SelectType< IsExpression< MT1 >::value, const MT1, const MT1 & >::Type LeftOperand
Composite type of the left-hand side sparse matrix expression.
Definition: TSMatSMatSubExpr.h:142
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 rightOperand() const
Returns the right-hand side sparse matrix operand.
Definition: TSMatSMatSubExpr.h:238
Header file for run time assertion macros.
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
ResultType::OppositeType OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: TSMatSMatSubExpr.h:131
const DenseIterator< Type > operator-(const DenseIterator< Type > &it, ptrdiff_t inc)
Subtraction between a DenseIterator and an integral value.
Definition: DenseIterator.h:585
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.
TSMatSMatSubExpr< MT1, MT2 > This
Type of this TSMatSMatSubExpr instance.
Definition: TSMatSMatSubExpr.h:129
TSMatSMatSubExpr(const MT1 &lhs, const MT2 &rhs)
Constructor for the TSMatSMatSubExpr class.
Definition: TSMatSMatSubExpr.h:159
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: TSMatSMatSubExpr.h:262
Header file for the RemoveReference type trait.
RightOperand rhs_
Right-hand side sparse matrix of the subtraction expression.
Definition: TSMatSMatSubExpr.h:270
size_t columns() const
Returns the current number of columns of the matrix.
Definition: TSMatSMatSubExpr.h:197
MT1::ResultType RT1
Result type of the left-hand side sparse matrix expression.
Definition: TSMatSMatSubExpr.h:92
Header file for the IsComputation type trait class.
#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
ReturnType operator()(size_t i, size_t j) const
2D-access to the matrix elements.
Definition: TSMatSMatSubExpr.h:175
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.
Base template for the SubTrait class.
Definition: SubTrait.h:141
Expression object for transpose sparse matrix-sparse matrix subtractions.The TSMatSMatSubExpr class r...
Definition: Forward.h:141
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: TSMatSMatSubExpr.h:132
Header file for the IsResizable type trait.
Header file for the SubExprTrait class template.
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.