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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>
61 #include <blaze/util/Assert.h>
63 #include <blaze/util/SelectType.h>
64 #include <blaze/util/Types.h>
66 
67 
68 namespace blaze {
69 
70 //=================================================================================================
71 //
72 // CLASS TSMATSMATSUBEXPR
73 //
74 //=================================================================================================
75 
76 //*************************************************************************************************
83 template< typename MT1 // Type of the left-hand side sparse matrix
84  , typename MT2 > // Type of the right-hand side sparse matrix
85 class TSMatSMatSubExpr : public SparseMatrix< TSMatSMatSubExpr<MT1,MT2>, false >
86  , private MatMatSubExpr
87  , private Computation
88 {
89  private:
90  //**Type definitions****************************************************************************
91  typedef typename MT1::ResultType RT1;
92  typedef typename MT2::ResultType RT2;
93  typedef typename MT1::ReturnType RN1;
94  typedef typename MT2::ReturnType RN2;
95  typedef typename MT1::CompositeType CT1;
96  typedef typename MT2::CompositeType CT2;
97  //**********************************************************************************************
98 
99  //**Return type evaluation**********************************************************************
101 
106  enum { returnExpr = !IsTemporary<RN1>::value && !IsTemporary<RN2>::value };
107 
110  //**********************************************************************************************
111 
112  public:
113  //**Type definitions****************************************************************************
119 
122 
124  typedef const ResultType CompositeType;
125 
127  typedef typename SelectType< IsExpression<MT1>::value, const MT1, const MT1& >::Type LeftOperand;
128 
130  typedef typename SelectType< IsExpression<MT2>::value, const MT2, const MT2& >::Type RightOperand;
131  //**********************************************************************************************
132 
133  //**Constructor*********************************************************************************
139  explicit inline TSMatSMatSubExpr( const MT1& lhs, const MT2& rhs )
140  : lhs_( lhs ) // Left-hand side sparse matrix of the subtraction expression
141  , rhs_( rhs ) // Right-hand side sparse matrix of the subtraction expression
142  {
143  BLAZE_INTERNAL_ASSERT( lhs.rows() == rhs.rows() , "Invalid number of rows" );
144  BLAZE_INTERNAL_ASSERT( lhs.columns() == rhs.columns(), "Invalid number of columns" );
145  }
146  //**********************************************************************************************
147 
148  //**Access operator*****************************************************************************
155  inline ReturnType operator()( size_t i, size_t j ) const {
156  BLAZE_INTERNAL_ASSERT( i < lhs_.rows() , "Invalid row access index" );
157  BLAZE_INTERNAL_ASSERT( j < lhs_.columns(), "Invalid column access index" );
158  return lhs_(i,j) - rhs_(i,j);
159  }
160  //**********************************************************************************************
161 
162  //**Rows function*******************************************************************************
167  inline size_t rows() const {
168  return lhs_.rows();
169  }
170  //**********************************************************************************************
171 
172  //**Columns function****************************************************************************
177  inline size_t columns() const {
178  return lhs_.columns();
179  }
180  //**********************************************************************************************
181 
182  //**NonZeros function***************************************************************************
187  inline size_t nonZeros() const {
188  return lhs_.nonZeros() + rhs_.nonZeros();
189  }
190  //**********************************************************************************************
191 
192  //**NonZeros function***************************************************************************
198  inline size_t nonZeros( size_t i ) const {
199  return lhs_.nonZeros(i) + rhs_.nonZeros(i);
200  }
201  //**********************************************************************************************
202 
203  //**Left operand access*************************************************************************
208  inline LeftOperand leftOperand() const {
209  return lhs_;
210  }
211  //**********************************************************************************************
212 
213  //**Right operand access************************************************************************
218  inline RightOperand rightOperand() const {
219  return rhs_;
220  }
221  //**********************************************************************************************
222 
223  //**********************************************************************************************
229  template< typename T >
230  inline bool canAlias( const T* alias ) const {
231  return ( lhs_.canAlias( alias ) || rhs_.canAlias( alias ) );
232  }
233  //**********************************************************************************************
234 
235  //**********************************************************************************************
241  template< typename T >
242  inline bool isAliased( const T* alias ) const {
243  return ( lhs_.isAliased( alias ) || rhs_.isAliased( alias ) );
244  }
245  //**********************************************************************************************
246 
247  private:
248  //**Member variables****************************************************************************
251  //**********************************************************************************************
252 
253  //**Assignment to dense matrices****************************************************************
265  template< typename MT // Type of the target dense matrix
266  , bool SO > // Storage order of the target dense matrix
267  friend inline void assign( DenseMatrix<MT,SO>& lhs, const TSMatSMatSubExpr& rhs )
268  {
270 
271  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
272  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
273 
274  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
275 
276  assign( ~lhs, rhs.lhs_ );
277 
279  subAssign( ~lhs, rhs.rhs_ );
280  }
281  else
282  {
283  CT2 B( rhs.rhs_ ); // Evaluation of the right-hand side sparse matrix operand
284 
285  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
286  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
287  BLAZE_INTERNAL_ASSERT( B.rows() == (~lhs).rows() , "Invalid number of rows" );
288  BLAZE_INTERNAL_ASSERT( B.columns() == (~lhs).columns() , "Invalid number of columns" );
289 
290  for( size_t i=0UL; i<(~lhs).rows(); ++i ) {
291  const RightIterator end( B.end(i) );
292  for( RightIterator element=B.begin(i); element!=end; ++element ) {
293  if( isDefault( (~lhs)(i,element->index()) ) )
294  (~lhs)(i,element->index()) = -element->value();
295  else
296  (~lhs)(i,element->index()) -= element->value();
297  }
298  }
299  }
300  }
302  //**********************************************************************************************
303 
304  //**Assignment to row-major sparse matrices*****************************************************
317  template< typename MT > // Type of the target sparse matrix
318  friend inline void assign( SparseMatrix<MT,false>& lhs, const TSMatSMatSubExpr& rhs )
319  {
321 
322  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
323  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
324 
325  typedef typename RT1::OppositeType::ConstIterator LeftIterator;
326  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
327 
328  // Evaluation of the left-hand side sparse matrix operand
329  const typename RT1::OppositeType A( rhs.lhs_ );
330 
331  // Evaluation of the right-hand side sparse matrix operand
332  CT2 B( rhs.rhs_ );
333 
334  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
335  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
336  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
337  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
338  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
339  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
340 
341  // Final memory allocation (based on the evaluated operands)
342  (~lhs).reserve( A.nonZeros() + B.nonZeros() );
343 
344  // Performing the matrix subtraction
345  for( size_t i=0UL; i<(~lhs).rows(); ++i )
346  {
347  const LeftIterator lend( A.end(i) );
348  const RightIterator rend( B.end(i) );
349 
350  LeftIterator l( A.begin(i) );
351  RightIterator r( B.begin(i) );
352 
353  while( l != lend && r != rend )
354  {
355  if( l->index() < r->index() ) {
356  (~lhs).append( i, l->index(), l->value() );
357  ++l;
358  }
359  else if( l->index() > r->index() ) {
360  (~lhs).append( i, r->index(), -r->value() );
361  ++r;
362  }
363  else {
364  (~lhs).append( i, l->index(), l->value()-r->value() );
365  ++l;
366  ++r;
367  }
368  }
369 
370  while( l != lend ) {
371  (~lhs).append( i, l->index(), l->value() );
372  ++l;
373  }
374 
375  while( r != rend ) {
376  (~lhs).append( i, r->index(), -r->value() );
377  ++r;
378  }
379 
380  (~lhs).finalize( i );
381  }
382  }
384  //**********************************************************************************************
385 
386  //**Assignment to column-major sparse matrices**************************************************
399  template< typename MT > // Type of the target sparse matrix
400  friend inline void assign( SparseMatrix<MT,true>& lhs, const TSMatSMatSubExpr& rhs )
401  {
403 
404  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
405  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
406 
407  typedef typename RemoveReference<CT1>::Type::ConstIterator LeftIterator;
408  typedef typename RT2::OppositeType::ConstIterator RightIterator;
409 
410  // Evaluation of the left-hand side sparse matrix operand
411  CT1 A( rhs.lhs_ );
412 
413  // Evaluation of the right-hand side sparse matrix operand
414  const typename RT2::OppositeType B( rhs.rhs_ );
415 
416  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
417  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
418  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
419  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
420  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
421  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
422 
423  // Final memory allocation (based on the evaluated operands)
424  (~lhs).reserve( A.nonZeros() + B.nonZeros() );
425 
426  // Performing the matrix subtraction
427  for( size_t j=0UL; j<(~lhs).columns(); ++j )
428  {
429  const LeftIterator lend( A.end(j) );
430  const RightIterator rend( B.end(j) );
431 
432  LeftIterator l( A.begin(j) );
433  RightIterator r( B.begin(j) );
434 
435  while( l != lend && r != rend )
436  {
437  if( l->index() < r->index() ) {
438  (~lhs).append( l->index(), j, l->value() );
439  ++l;
440  }
441  else if( l->index() > r->index() ) {
442  (~lhs).append( r->index(), j, -r->value() );
443  ++r;
444  }
445  else {
446  (~lhs).append( l->index(), j, l->value()-r->value() );
447  ++l;
448  ++r;
449  }
450  }
451 
452  while( l != lend ) {
453  (~lhs).append( l->index(), j, l->value() );
454  ++l;
455  }
456 
457  while( r != rend ) {
458  (~lhs).append( r->index(), j, -r->value() );
459  ++r;
460  }
461 
462  (~lhs).finalize( j );
463  }
464  }
466  //**********************************************************************************************
467 
468  //**Addition assignment to dense matrices*******************************************************
481  template< typename MT // Type of the target dense matrix
482  , bool SO > // Storage order of the target dense matrix
483  friend inline void addAssign( DenseMatrix<MT,SO>& lhs, const TSMatSMatSubExpr& rhs )
484  {
486 
487  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
488  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
489 
490  addAssign( ~lhs, rhs.lhs_ );
491  subAssign( ~lhs, rhs.rhs_ );
492  }
494  //**********************************************************************************************
495 
496  //**Addition assignment to sparse matrices******************************************************
497  // No special implementation for the addition assignment to sparse matrices.
498  //**********************************************************************************************
499 
500  //**Subtraction assignment to dense matrices****************************************************
513  template< typename MT // Type of the target dense matrix
514  , bool SO > // Storage order of the target dense matrix
515  friend inline void subAssign( DenseMatrix<MT,SO>& lhs, const TSMatSMatSubExpr& rhs )
516  {
518 
519  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
520  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
521 
522  subAssign( ~lhs, rhs.lhs_ );
523  addAssign( ~lhs, rhs.rhs_ );
524  }
526  //**********************************************************************************************
527 
528  //**Subtraction assignment to sparse matrices***************************************************
529  // No special implementation for the subtraction assignment to sparse matrices.
530  //**********************************************************************************************
531 
532  //**Multiplication assignment to dense matrices*************************************************
533  // No special implementation for the multiplication assignment to dense matrices.
534  //**********************************************************************************************
535 
536  //**Multiplication assignment to sparse matrices************************************************
537  // No special implementation for the multiplication assignment to sparse matrices.
538  //**********************************************************************************************
539 
540  //**Compile time checks*************************************************************************
547  //**********************************************************************************************
548 };
549 //*************************************************************************************************
550 
551 
552 
553 
554 //=================================================================================================
555 //
556 // GLOBAL BINARY ARITHMETIC OPERATORS
557 //
558 //=================================================================================================
559 
560 //*************************************************************************************************
589 template< typename T1 // Type of the left-hand side sparse matrix
590  , typename T2 > // Type of the right-hand side sparse matrix
591 inline const TSMatSMatSubExpr<T1,T2>
593 {
595 
596  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
597  throw std::invalid_argument( "Matrix sizes do not match" );
598 
599  return TSMatSMatSubExpr<T1,T2>( ~lhs, ~rhs );
600 }
601 //*************************************************************************************************
602 
603 
604 
605 
606 //=================================================================================================
607 //
608 // EXPRESSION TRAIT SPECIALIZATIONS
609 //
610 //=================================================================================================
611 
612 //*************************************************************************************************
614 template< typename MT1, typename MT2 >
615 struct SubmatrixExprTrait< TSMatSMatSubExpr<MT1,MT2> >
616 {
617  public:
618  //**********************************************************************************************
619  typedef typename SubExprTrait< typename SubmatrixExprTrait<const MT1>::Type
620  , typename SubmatrixExprTrait<const MT2>::Type >::Type Type;
621  //**********************************************************************************************
622 };
624 //*************************************************************************************************
625 
626 
627 //*************************************************************************************************
629 template< typename MT1, typename MT2 >
630 struct RowExprTrait< TSMatSMatSubExpr<MT1,MT2> >
631 {
632  public:
633  //**********************************************************************************************
634  typedef typename SubExprTrait< typename RowExprTrait<const MT1>::Type
635  , typename RowExprTrait<const MT2>::Type >::Type Type;
636  //**********************************************************************************************
637 };
639 //*************************************************************************************************
640 
641 
642 //*************************************************************************************************
644 template< typename MT1, typename MT2 >
645 struct ColumnExprTrait< TSMatSMatSubExpr<MT1,MT2> >
646 {
647  public:
648  //**********************************************************************************************
649  typedef typename SubExprTrait< typename ColumnExprTrait<const MT1>::Type
650  , typename ColumnExprTrait<const MT2>::Type >::Type Type;
651  //**********************************************************************************************
652 };
654 //*************************************************************************************************
655 
656 } // namespace blaze
657 
658 #endif
SubTrait< RT1, RT2 >::Type ResultType
Result type for expression template evaluations.
Definition: TSMatSMatSubExpr.h:115
size_t rows() const
Returns the current number of rows of the matrix.
Definition: TSMatSMatSubExpr.h:167
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: TSMatSMatSubExpr.h:230
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:124
bool isDefault(const DynamicMatrix< Type, SO > &m)
Returns whether the given dense matrix is in default state.
Definition: DynamicMatrix.h:4555
Efficient implementation of a compressed matrix.The CompressedMatrix class template is the represent...
Definition: CompressedMatrix.h:196
ResultType::ElementType ElementType
Resulting element type.
Definition: TSMatSMatSubExpr.h:118
Header file for the ColumnExprTrait class template.
const This & CompositeType
Data type for composite expression templates.
Definition: CompressedMatrix.h:2375
Type ElementType
Type of the sparse matrix elements.
Definition: CompressedMatrix.h:248
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:92
CompressedMatrix< Type, false > OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: CompressedMatrix.h:2371
MT1::ReturnType RN1
Return type of the left-hand side sparse matrix expression.
Definition: TSMatSMatSubExpr.h:93
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
Header file for the SparseMatrix base class.
Constraint on the data type.
SubExprTrait< RN1, RN2 >::Type ExprReturnType
Expression return type for the subscript operator.
Definition: TSMatSMatSubExpr.h:109
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:198
size_t nonZeros() const
Returns the number of non-zero elements in the sparse matrix.
Definition: TSMatSMatSubExpr.h:187
const SelectType< returnExpr, ExprReturnType, ElementType >::Type ReturnType
Return type for expression template evaluations.
Definition: TSMatSMatSubExpr.h:121
#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:95
const Element * ConstIterator
Iterator over constant elements.
Definition: CompressedMatrix.h:2379
MT2::CompositeType CT2
Composite type of the right-hand side sparse matrix expression.
Definition: TSMatSMatSubExpr.h:96
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.
LeftOperand leftOperand() const
Returns the left-hand side transpose sparse matrix operand.
Definition: TSMatSMatSubExpr.h:208
SelectType< IsExpression< MT2 >::value, const MT2, const MT2 & >::Type RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: TSMatSMatSubExpr.h:130
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:249
Header file for the SelectType class template.
Header file for the RowExprTrait class template.
Header file for all forward declarations for expression class templates.
MT2::ReturnType RN2
Return type of the right-hand side sparse matrix expression.
Definition: TSMatSMatSubExpr.h:94
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:127
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:2374
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:218
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:209
ResultType::OppositeType OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: TSMatSMatSubExpr.h:116
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
Header file for the isDefault shim.
TSMatSMatSubExpr< MT1, MT2 > This
Type of this TSMatSMatSubExpr instance.
Definition: TSMatSMatSubExpr.h:114
TSMatSMatSubExpr(const MT1 &lhs, const MT2 &rhs)
Constructor for the TSMatSMatSubExpr class.
Definition: TSMatSMatSubExpr.h:139
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: TSMatSMatSubExpr.h:242
Header file for the RemoveReference type trait.
RightOperand rhs_
Right-hand side sparse matrix of the subtraction expression.
Definition: TSMatSMatSubExpr.h:250
size_t columns() const
Returns the current number of columns of the matrix.
Definition: TSMatSMatSubExpr.h:177
MT1::ResultType RT1
Result type of the left-hand side sparse matrix expression.
Definition: TSMatSMatSubExpr.h:91
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:2370
ReturnType operator()(size_t i, size_t j) const
2D-access to the matrix elements.
Definition: TSMatSMatSubExpr.h:155
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.
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:137
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: TSMatSMatSubExpr.h:117
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.