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TSMatTSMatSubExpr.h
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1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_TSMATTSMATSUBEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_TSMATTSMATSUBEXPR_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 TSMATTSMATSUBEXPR
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 TSMatTSMatSubExpr : public SparseMatrix< TSMatTSMatSubExpr<MT1,MT2>, true >
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 TSMatTSMatSubExpr( 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****************************************************************
286  template< typename MT // Type of the target dense matrix
287  , bool SO > // Storage order of the target dense matrix
288  friend inline void assign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatSubExpr& rhs )
289  {
291 
292  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
293  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
294 
295  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
296 
297  assign( ~lhs, rhs.lhs_ );
298 
300  subAssign( ~lhs, rhs.rhs_ );
301  }
302  else
303  {
304  CT2 B( serial( rhs.rhs_ ) ); // Evaluation of the right-hand side sparse matrix operand
305 
306  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
307  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
308  BLAZE_INTERNAL_ASSERT( B.rows() == (~lhs).rows() , "Invalid number of rows" );
309  BLAZE_INTERNAL_ASSERT( B.columns() == (~lhs).columns() , "Invalid number of columns" );
310 
311  for( size_t j=0UL; j<(~lhs).columns(); ++j ) {
312  const RightIterator end( B.end(j) );
313  for( RightIterator element=B.begin(j); element!=end; ++element ) {
314  if( isDefault( (~lhs)(element->index(),j) ) )
315  (~lhs)(element->index(),j) = -element->value();
316  else
317  (~lhs)(element->index(),j) -= element->value();
318  }
319  }
320  }
321  }
323  //**********************************************************************************************
324 
325  //**Assignment to row-major sparse matrices*****************************************************
338  template< typename MT > // Type of the target sparse matrix
339  friend inline void assign( SparseMatrix<MT,false>& lhs, const TSMatTSMatSubExpr& rhs )
340  {
342 
343  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
344  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
345 
346  typedef typename RemoveReference<CT1>::Type::ConstIterator LeftIterator;
347  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
348 
349  CT1 A( serial( rhs.lhs_ ) ); // Evaluation of the left-hand side sparse matrix operand
350  CT2 B( serial( rhs.rhs_ ) ); // Evaluation of the right-hand side sparse matrix operand
351 
352  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
353  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
354  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
355  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
356  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
357  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
358 
359  const size_t m( rhs.rows() );
360  const size_t n( rhs.columns() );
361 
362  // Counting the number of elements per column
363  std::vector<size_t> nonzeros( m, 0UL );
364  for( size_t j=0UL; j<n; ++j )
365  {
366  const LeftIterator lend( A.end(j) );
367  const RightIterator rend( B.end(j) );
368 
369  LeftIterator l( A.begin(j) );
370  RightIterator r( B.begin(j) );
371 
372  while( l != lend && r != rend )
373  {
374  if( l->index() < r->index() ) {
375  ++nonzeros[l->index()];
376  ++l;
377  }
378  else if( l->index() > r->index() ) {
379  ++nonzeros[r->index()];
380  ++r;
381  }
382  else {
383  ++nonzeros[l->index()];
384  ++l;
385  ++r;
386  }
387  }
388 
389  while( l != lend ) {
390  ++nonzeros[l->index()];
391  ++l;
392  }
393 
394  while( r != rend ) {
395  ++nonzeros[r->index()];
396  ++r;
397  }
398  }
399 
400  // Resizing the left-hand side sparse matrix
401  for( size_t i=0UL; i<m; ++i ) {
402  (~lhs).reserve( i, nonzeros[i] );
403  }
404 
405  // Performing the matrix subtraction
406  for( size_t j=0UL; j<n; ++j )
407  {
408  const LeftIterator lend( A.end(j) );
409  const RightIterator rend( B.end(j) );
410 
411  LeftIterator l( A.begin(j) );
412  RightIterator r( B.begin(j) );
413 
414  while( l != lend && r != rend )
415  {
416  if( l->index() < r->index() ) {
417  (~lhs).append( l->index(), j, l->value() );
418  ++l;
419  }
420  else if( l->index() > r->index() ) {
421  (~lhs).append( r->index(), j, -r->value() );
422  ++r;
423  }
424  else {
425  (~lhs).append( l->index(), j, l->value()-r->value() );
426  ++l;
427  ++r;
428  }
429  }
430 
431  while( l != lend ) {
432  (~lhs).append( l->index(), j, l->value() );
433  ++l;
434  }
435 
436  while( r != rend ) {
437  (~lhs).append( r->index(), j, -r->value() );
438  ++r;
439  }
440  }
441  }
443  //**********************************************************************************************
444 
445  //**Assignment to column-major sparse matrices**************************************************
458  template< typename MT > // Type of the target sparse matrix
459  friend inline void assign( SparseMatrix<MT,true>& lhs, const TSMatTSMatSubExpr& rhs )
460  {
462 
463  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
464  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
465 
466  typedef typename RemoveReference<CT1>::Type::ConstIterator LeftIterator;
467  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
468 
469  CT1 A( serial( rhs.lhs_ ) ); // Evaluation of the left-hand side sparse matrix operand
470  CT2 B( serial( rhs.rhs_ ) ); // Evaluation of the right-hand side sparse matrix operand
471 
472  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
473  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
474  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
475  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
476  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
477  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
478 
479  // Final memory allocation (based on the evaluated operands)
480  (~lhs).reserve( A.nonZeros() + B.nonZeros() );
481 
482  // Performing the matrix subtraction
483  for( size_t j=0UL; j<(~lhs).columns(); ++j )
484  {
485  const LeftIterator lend( A.end(j) );
486  const RightIterator rend( B.end(j) );
487 
488  LeftIterator l( A.begin(j) );
489  RightIterator r( B.begin(j) );
490 
491  while( l != lend && r != rend )
492  {
493  if( l->index() < r->index() ) {
494  (~lhs).append( l->index(), j, l->value() );
495  ++l;
496  }
497  else if( l->index() > r->index() ) {
498  (~lhs).append( r->index(), j, -r->value() );
499  ++r;
500  }
501  else {
502  (~lhs).append( l->index(), j, l->value()-r->value() );
503  ++l;
504  ++r;
505  }
506  }
507 
508  while( l != lend ) {
509  (~lhs).append( l->index(), j, l->value() );
510  ++l;
511  }
512 
513  while( r != rend ) {
514  (~lhs).append( r->index(), j, -r->value() );
515  ++r;
516  }
517 
518  (~lhs).finalize( j );
519  }
520  }
522  //**********************************************************************************************
523 
524  //**Addition assignment to dense matrices*******************************************************
537  template< typename MT // Type of the target dense matrix
538  , bool SO > // Storage order of the target dense matrix
539  friend inline void addAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatSubExpr& rhs )
540  {
542 
543  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
544  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
545 
546  addAssign( ~lhs, rhs.lhs_ );
547  subAssign( ~lhs, rhs.rhs_ );
548  }
550  //**********************************************************************************************
551 
552  //**Addition assignment to sparse matrices******************************************************
553  // No special implementation for the addition assignment to sparse matrices.
554  //**********************************************************************************************
555 
556  //**Subtraction assignment to dense matrices****************************************************
569  template< typename MT // Type of the target dense matrix
570  , bool SO > // Storage order of the target dense matrix
571  friend inline void subAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatSubExpr& rhs )
572  {
574 
575  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
576  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
577 
578  subAssign( ~lhs, rhs.lhs_ );
579  addAssign( ~lhs, rhs.rhs_ );
580  }
582  //**********************************************************************************************
583 
584  //**Subtraction assignment to sparse matrices***************************************************
585  // No special implementation for the subtraction assignment to sparse matrices.
586  //**********************************************************************************************
587 
588  //**Multiplication assignment to dense matrices*************************************************
589  // No special implementation for the multiplication assignment to dense matrices.
590  //**********************************************************************************************
591 
592  //**Multiplication assignment to sparse matrices************************************************
593  // No special implementation for the multiplication assignment to sparse matrices.
594  //**********************************************************************************************
595 
596  //**SMP assignment to dense matrices************************************************************
597  // No special implementation for the SMP assignment to dense matrices.
598  //**********************************************************************************************
599 
600  //**SMP assignment to sparse matrices***********************************************************
601  // No special implementation for the SMP assignment to sparse matrices.
602  //**********************************************************************************************
603 
604  //**SMP addition assignment to dense matrices***************************************************
619  template< typename MT // Type of the target dense matrix
620  , bool SO > // Storage order of the target dense matrix
621  friend inline typename EnableIf< UseSMPAssign<MT> >::Type
622  smpAddAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatSubExpr& rhs )
623  {
625 
626  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
627  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
628 
629  smpAddAssign( ~lhs, rhs.lhs_ );
630  smpSubAssign( ~lhs, rhs.rhs_ );
631  }
633  //**********************************************************************************************
634 
635  //**SMP addition assignment to sparse matrices**************************************************
636  // No special implementation for the SMP addition assignment to sparse matrices.
637  //**********************************************************************************************
638 
639  //**SMP subtraction assignment to dense matrices************************************************
654  template< typename MT // Type of the target dense matrix
655  , bool SO > // Storage order of the target dense matrix
656  friend inline typename EnableIf< UseSMPAssign<MT> >::Type
657  smpSubAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatSubExpr& rhs )
658  {
660 
661  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
662  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
663 
664  smpSubAssign( ~lhs, rhs.lhs_ );
665  smpAddAssign( ~lhs, rhs.rhs_ );
666  }
668  //**********************************************************************************************
669 
670  //**SMP subtraction assignment to sparse matrices***********************************************
671  // No special implementation for the SMP subtraction assignment to sparse matrices.
672  //**********************************************************************************************
673 
674  //**SMP multiplication assignment to dense matrices*********************************************
675  // No special implementation for the SMP multiplication assignment to dense matrices.
676  //**********************************************************************************************
677 
678  //**SMP multiplication assignment to sparse matrices********************************************
679  // No special implementation for the SMP multiplication assignment to sparse matrices.
680  //**********************************************************************************************
681 
682  //**Compile time checks*************************************************************************
689  //**********************************************************************************************
690 };
691 //*************************************************************************************************
692 
693 
694 
695 
696 //=================================================================================================
697 //
698 // GLOBAL BINARY ARITHMETIC OPERATORS
699 //
700 //=================================================================================================
701 
702 //*************************************************************************************************
729 template< typename T1 // Type of the left-hand side sparse matrix
730  , typename T2 > // Type of the right-hand side sparse matrix
731 inline const TSMatTSMatSubExpr<T1,T2>
733 {
735 
736  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
737  throw std::invalid_argument( "Matrix sizes do not match" );
738 
739  return TSMatTSMatSubExpr<T1,T2>( ~lhs, ~rhs );
740 }
741 //*************************************************************************************************
742 
743 
744 
745 
746 //=================================================================================================
747 //
748 // EXPRESSION TRAIT SPECIALIZATIONS
749 //
750 //=================================================================================================
751 
752 //*************************************************************************************************
754 template< typename MT1, typename MT2, bool AF >
755 struct SubmatrixExprTrait< TSMatTSMatSubExpr<MT1,MT2>, AF >
756 {
757  public:
758  //**********************************************************************************************
759  typedef typename SubExprTrait< typename SubmatrixExprTrait<const MT1,AF>::Type
760  , typename SubmatrixExprTrait<const MT2,AF>::Type >::Type Type;
761  //**********************************************************************************************
762 };
764 //*************************************************************************************************
765 
766 
767 //*************************************************************************************************
769 template< typename MT1, typename MT2 >
770 struct RowExprTrait< TSMatTSMatSubExpr<MT1,MT2> >
771 {
772  public:
773  //**********************************************************************************************
774  typedef typename SubExprTrait< typename RowExprTrait<const MT1>::Type
775  , typename RowExprTrait<const MT2>::Type >::Type Type;
776  //**********************************************************************************************
777 };
779 //*************************************************************************************************
780 
781 
782 //*************************************************************************************************
784 template< typename MT1, typename MT2 >
785 struct ColumnExprTrait< TSMatTSMatSubExpr<MT1,MT2> >
786 {
787  public:
788  //**********************************************************************************************
789  typedef typename SubExprTrait< typename ColumnExprTrait<const MT1>::Type
790  , typename ColumnExprTrait<const MT2>::Type >::Type Type;
791  //**********************************************************************************************
792 };
794 //*************************************************************************************************
795 
796 } // namespace blaze
797 
798 #endif
Compile time check whether the given type is a temporary vector or matrix type.This type trait class ...
Definition: IsTemporary.h:87
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: TSMatTSMatSubExpr.h:262
Header file for the subtraction trait.
LeftOperand leftOperand() const
Returns the left-hand side transpose sparse matrix operand.
Definition: TSMatTSMatSubExpr.h:228
void smpSubAssign(DenseMatrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the SMP subtraction assignment of a matrix to dense matrix.
Definition: DenseMatrix.h:152
ResultType::OppositeType OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: TSMatTSMatSubExpr.h:131
bool isDefault(const DynamicMatrix< Type, SO > &m)
Returns whether the given dense matrix is in default state.
Definition: DynamicMatrix.h:4642
Efficient implementation of a compressed matrix.The CompressedMatrix class template is the represent...
Definition: CompressedMatrix.h:199
Header file for the ColumnExprTrait class template.
size_t nonZeros() const
Returns the number of non-zero elements in the sparse matrix.
Definition: TSMatTSMatSubExpr.h:207
MT1::CompositeType CT1
Composite type of the left-hand side sparse matrix expression.
Definition: TSMatTSMatSubExpr.h:96
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::ReturnType RN1
Return type of the left-hand side sparse matrix expression.
Definition: TSMatTSMatSubExpr.h:94
SubTrait< RT1, RT2 >::Type ResultType
Result type for expression template evaluations.
Definition: TSMatTSMatSubExpr.h:130
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.
TSMatTSMatSubExpr(const MT1 &lhs, const MT2 &rhs)
Constructor for the TSMatTSMatSubExpr class.
Definition: TSMatTSMatSubExpr.h:159
Header file for the RequiresEvaluation type trait.
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
ResultType::ElementType ElementType
Resulting element type.
Definition: TSMatTSMatSubExpr.h:133
Header file for the SparseMatrix base class.
Constraint on the data type.
void smpAddAssign(DenseMatrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the SMP addition assignment of a matrix to a dense matrix.
Definition: DenseMatrix.h:122
Compile time type selection.The SelectType class template selects one of the two given types T1 and T...
Definition: SelectType.h:59
Header file for the IsTemporary type trait class.
RightOperand rhs_
Right-hand side sparse matrix of the subtraction expression.
Definition: TSMatTSMatSubExpr.h:270
TSMatTSMatSubExpr< MT1, MT2 > This
Type of this TSMatTSMatSubExpr instance.
Definition: TSMatTSMatSubExpr.h:129
RightOperand rightOperand() const
Returns the right-hand side transpose sparse matrix operand.
Definition: TSMatTSMatSubExpr.h:238
#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 SelectType< returnExpr, ExprReturnType, ElementType >::Type ReturnType
Return type for expression template evaluations.
Definition: TSMatTSMatSubExpr.h:136
MT2::ResultType RT2
Result type of the right-hand side sparse matrix expression.
Definition: TSMatTSMatSubExpr.h:93
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
Header file for the MatMatSubExpr base class.
size_t columns() const
Returns the current number of columns of the matrix.
Definition: TSMatTSMatSubExpr.h:197
size_t nonZeros(size_t i) const
Returns the number of non-zero elements in the specified row.
Definition: TSMatTSMatSubExpr.h:218
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: TSMatTSMatSubExpr.h:132
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
Header file for the SelectType class template.
Header file for the RowExprTrait class template.
Header file for all forward declarations for expression class templates.
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: TSMatTSMatSubExpr.h:250
Header file for the serial shim.
MT2::CompositeType CT2
Composite type of the right-hand side sparse matrix expression.
Definition: TSMatTSMatSubExpr.h:97
Compile time check for resizable data types.This type trait tests whether the given data type is a re...
Definition: IsResizable.h:75
const ResultType CompositeType
Data type for composite expression templates.
Definition: TSMatTSMatSubExpr.h:139
Header file for the SubmatrixExprTrait class template.
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
MT1::ResultType RT1
Result type of the left-hand side sparse matrix expression.
Definition: TSMatTSMatSubExpr.h:92
Header file for run time assertion macros.
SelectType< IsExpression< MT1 >::value, const MT1, const MT1 & >::Type LeftOperand
Composite type of the left-hand side sparse matrix expression.
Definition: TSMatTSMatSubExpr.h:142
Expression object for transpose sparse matrix-transpose sparse matrix subtractions.The TSMatTSMatSubExpr class represents the compile time expression for subtractions between two column-major sparse matrices.
Definition: Forward.h:146
SubExprTrait< RN1, RN2 >::Type ExprReturnType
Expression return type for the subscript operator.
Definition: TSMatTSMatSubExpr.h:110
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
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
size_t rows() const
Returns the current number of rows of the matrix.
Definition: TSMatTSMatSubExpr.h:187
Header file for the isDefault shim.
SelectType< IsExpression< MT2 >::value, const MT2, const MT2 & >::Type RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: TSMatTSMatSubExpr.h:145
Header file for the RemoveReference type trait.
Header file for the IsComputation type trait class.
ReturnType operator()(size_t i, size_t j) const
2D-access to the matrix elements.
Definition: TSMatTSMatSubExpr.h:175
#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
Header file for basic type definitions.
MT2::ReturnType RN2
Return type of the right-hand side sparse matrix expression.
Definition: TSMatTSMatSubExpr.h:95
Base template for the SubTrait class.
Definition: SubTrait.h:141
LeftOperand lhs_
Left-hand side sparse matrix of the subtraction expression.
Definition: TSMatTSMatSubExpr.h:269
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.