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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  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 TSMatTSMatSubExpr( const MT1& lhs, const MT2& rhs )
146  : lhs_( lhs ) // Left-hand side sparse matrix of the subtraction expression
147  , rhs_( rhs ) // Right-hand side sparse matrix of the subtraction 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 TSMatTSMatSubExpr& 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  subAssign( ~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 TSMatTSMatSubExpr& 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 subtraction
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 TSMatTSMatSubExpr& 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 subtraction
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 TSMatTSMatSubExpr& 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  smpSubAssign( ~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 TSMatTSMatSubExpr& 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  smpAddAssign( ~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 //*************************************************************************************************
629 template< typename T1 // Type of the left-hand side sparse matrix
630  , typename T2 > // Type of the right-hand side sparse matrix
631 inline const TSMatTSMatSubExpr<T1,T2>
633 {
635 
636  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
637  throw std::invalid_argument( "Matrix sizes do not match" );
638 
639  return TSMatTSMatSubExpr<T1,T2>( ~lhs, ~rhs );
640 }
641 //*************************************************************************************************
642 
643 
644 
645 
646 //=================================================================================================
647 //
648 // EXPRESSION TRAIT SPECIALIZATIONS
649 //
650 //=================================================================================================
651 
652 //*************************************************************************************************
654 template< typename MT1, typename MT2, bool AF >
655 struct SubmatrixExprTrait< TSMatTSMatSubExpr<MT1,MT2>, AF >
656 {
657  public:
658  //**********************************************************************************************
659  typedef typename SubExprTrait< typename SubmatrixExprTrait<const MT1,AF>::Type
660  , typename SubmatrixExprTrait<const MT2,AF>::Type >::Type Type;
661  //**********************************************************************************************
662 };
664 //*************************************************************************************************
665 
666 
667 //*************************************************************************************************
669 template< typename MT1, typename MT2 >
670 struct RowExprTrait< TSMatTSMatSubExpr<MT1,MT2> >
671 {
672  public:
673  //**********************************************************************************************
674  typedef typename SubExprTrait< typename RowExprTrait<const MT1>::Type
675  , typename RowExprTrait<const MT2>::Type >::Type Type;
676  //**********************************************************************************************
677 };
679 //*************************************************************************************************
680 
681 
682 //*************************************************************************************************
684 template< typename MT1, typename MT2 >
685 struct ColumnExprTrait< TSMatTSMatSubExpr<MT1,MT2> >
686 {
687  public:
688  //**********************************************************************************************
689  typedef typename SubExprTrait< typename ColumnExprTrait<const MT1>::Type
690  , typename ColumnExprTrait<const MT2>::Type >::Type Type;
691  //**********************************************************************************************
692 };
694 //*************************************************************************************************
695 
696 } // namespace blaze
697 
698 #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:248
Header file for the subtraction trait.
LeftOperand leftOperand() const
Returns the left-hand side transpose sparse matrix operand.
Definition: TSMatTSMatSubExpr.h:214
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
ResultType::OppositeType OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: TSMatTSMatSubExpr.h:117
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
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:193
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:2384
Type ElementType
Type of the sparse matrix elements.
Definition: CompressedMatrix.h:249
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:116
Header file for the Computation base class.
TSMatTSMatSubExpr(const MT1 &lhs, const MT2 &rhs)
Constructor for the TSMatTSMatSubExpr class.
Definition: TSMatTSMatSubExpr.h:145
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:104
ResultType::ElementType ElementType
Resulting element type.
Definition: TSMatTSMatSubExpr.h:119
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
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:256
TSMatTSMatSubExpr< MT1, MT2 > This
Type of this TSMatTSMatSubExpr instance.
Definition: TSMatTSMatSubExpr.h:115
RightOperand rightOperand() const
Returns the right-hand side transpose sparse matrix operand.
Definition: TSMatTSMatSubExpr.h:224
#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:122
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: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
Header file for the MatMatSubExpr base class.
size_t columns() const
Returns the current number of columns of the matrix.
Definition: TSMatTSMatSubExpr.h:183
size_t nonZeros(size_t i) const
Returns the number of non-zero elements in the specified row.
Definition: TSMatTSMatSubExpr.h:204
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: TSMatTSMatSubExpr.h:118
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:236
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:125
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
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:128
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:142
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:209
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:239
size_t rows() const
Returns the current number of rows of the matrix.
Definition: TSMatTSMatSubExpr.h:173
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:131
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:161
#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.
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:255
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: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
#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.