All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Groups Pages
SMatTSMatSubExpr.h
Go to the documentation of this file.
1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_SMATTSMATSUBEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_SMATTSMATSUBEXPR_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 SMATTSMATSUBEXPR
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 SMatTSMatSubExpr : public SparseMatrix< SMatTSMatSubExpr<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 SMatTSMatSubExpr( 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 SMatTSMatSubExpr& 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 j=0UL; j<(~lhs).columns(); ++j ) {
291  const RightIterator end( B.end(j) );
292  for( RightIterator element=B.begin(j); element!=end; ++element ) {
293  if( isDefault( (~lhs)(element->index(),j) ) )
294  (~lhs)(element->index(),j) = -element->value();
295  else
296  (~lhs)(element->index(),j) -= element->value();
297  }
298  }
299  }
300  }
302  //**********************************************************************************************
303 
304  //**Assignment to sparse matrices***************************************************************
316  template< typename MT > // Type of the target sparse matrix
317  friend inline void assign( SparseMatrix<MT,false>& lhs, const SMatTSMatSubExpr& rhs )
318  {
320 
321  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
322  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
323 
324  typedef typename RemoveReference<CT1>::Type::ConstIterator LeftIterator;
325  typedef typename RT2::OppositeType::ConstIterator RightIterator;
326 
327  // Evaluation of the left-hand side sparse matrix operand
328  CT1 A( rhs.lhs_ );
329 
330  // Evaluation of the right-hand side sparse matrix operand
331  const typename RT2::OppositeType B( rhs.rhs_ );
332 
333  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
334  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
335  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
336  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
337  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
338  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
339 
340  // Final memory allocation (based on the evaluated operands)
341  (~lhs).reserve( A.nonZeros() + B.nonZeros() );
342 
343  // Performing the matrix subtraction
344  for( size_t i=0UL; i<(~lhs).rows(); ++i )
345  {
346  const LeftIterator lend( A.end(i) );
347  const RightIterator rend( B.end(i) );
348 
349  LeftIterator l( A.begin(i) );
350  RightIterator r( B.begin(i) );
351 
352  while( l != lend && r != rend )
353  {
354  if( l->index() < r->index() ) {
355  (~lhs).append( i, l->index(), l->value() );
356  ++l;
357  }
358  else if( l->index() > r->index() ) {
359  (~lhs).append( i, r->index(), -r->value() );
360  ++r;
361  }
362  else {
363  (~lhs).append( i, l->index(), l->value()-r->value() );
364  ++l;
365  ++r;
366  }
367  }
368 
369  while( l != lend ) {
370  (~lhs).append( i, l->index(), l->value() );
371  ++l;
372  }
373 
374  while( r != rend ) {
375  (~lhs).append( i, r->index(), -r->value() );
376  ++r;
377  }
378 
379  (~lhs).finalize( i );
380  }
381  }
383  //**********************************************************************************************
384 
385  //**Assignment to sparse matrices***************************************************************
397  template< typename MT > // Type of the target sparse matrix
398  friend inline void assign( SparseMatrix<MT,true>& lhs, const SMatTSMatSubExpr& rhs )
399  {
401 
402  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
403  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
404 
405  typedef typename RT1::OppositeType::ConstIterator LeftIterator;
406  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
407 
408  // Evaluation of the left-hand side sparse matrix operand
409  const typename RT1::OppositeType A( rhs.lhs_ );
410 
411  // Evaluation of the right-hand side sparse matrix operand
412  CT2 B( rhs.rhs_ );
413 
414  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
415  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
416  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
417  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
418  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
419  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
420 
421  // Final memory allocation (based on the evaluated operands)
422  (~lhs).reserve( A.nonZeros() + B.nonZeros() );
423 
424  // Performing the matrix subtraction
425  for( size_t j=0UL; j<(~lhs).columns(); ++j )
426  {
427  const LeftIterator lend( A.end(j) );
428  const RightIterator rend( B.end(j) );
429 
430  LeftIterator l( A.begin(j) );
431  RightIterator r( B.begin(j) );
432 
433  while( l != lend && r != rend )
434  {
435  if( l->index() < r->index() ) {
436  (~lhs).append( l->index(), j, l->value() );
437  ++l;
438  }
439  else if( l->index() > r->index() ) {
440  (~lhs).append( r->index(), j, -r->value() );
441  ++r;
442  }
443  else {
444  (~lhs).append( l->index(), j, l->value()-r->value() );
445  ++l;
446  ++r;
447  }
448  }
449 
450  while( l != lend ) {
451  (~lhs).append( l->index(), j, l->value() );
452  ++l;
453  }
454 
455  while( r != rend ) {
456  (~lhs).append( r->index(), j, -r->value() );
457  ++r;
458  }
459 
460  (~lhs).finalize( j );
461  }
462  }
464  //**********************************************************************************************
465 
466  //**Addition assignment to dense matrices*******************************************************
479  template< typename MT // Type of the target dense matrix
480  , bool SO > // Storage order of the target dense matrix
481  friend inline void addAssign( DenseMatrix<MT,SO>& lhs, const SMatTSMatSubExpr& rhs )
482  {
484 
485  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
486  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
487 
488  addAssign( ~lhs, rhs.lhs_ );
489  subAssign( ~lhs, rhs.rhs_ );
490  }
492  //**********************************************************************************************
493 
494  //**Addition assignment to sparse matrices******************************************************
495  // No special implementation for the addition assignment to sparse matrices.
496  //**********************************************************************************************
497 
498  //**Subtraction assignment to dense matrices****************************************************
511  template< typename MT // Type of the target dense matrix
512  , bool SO > // Storage order of the target dense matrix
513  friend inline void subAssign( DenseMatrix<MT,SO>& lhs, const SMatTSMatSubExpr& rhs )
514  {
516 
517  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
518  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
519 
520  subAssign( ~lhs, rhs.lhs_ );
521  addAssign( ~lhs, rhs.rhs_ );
522  }
524  //**********************************************************************************************
525 
526  //**Subtraction assignment to sparse matrices***************************************************
527  // No special implementation for the subtraction assignment to sparse matrices.
528  //**********************************************************************************************
529 
530  //**Multiplication assignment to dense matrices*************************************************
531  // No special implementation for the multiplication assignment to dense matrices.
532  //**********************************************************************************************
533 
534  //**Multiplication assignment to sparse matrices************************************************
535  // No special implementation for the multiplication assignment to sparse matrices.
536  //**********************************************************************************************
537 
538  //**Compile time checks*************************************************************************
545  //**********************************************************************************************
546 };
547 //*************************************************************************************************
548 
549 
550 
551 
552 //=================================================================================================
553 //
554 // GLOBAL BINARY ARITHMETIC OPERATORS
555 //
556 //=================================================================================================
557 
558 //*************************************************************************************************
587 template< typename T1 // Type of the left-hand side sparse matrix
588  , typename T2 > // Type of the right-hand side sparse matrix
589 inline const SMatTSMatSubExpr<T1,T2>
591 {
593 
594  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
595  throw std::invalid_argument( "Matrix sizes do not match" );
596 
597  return SMatTSMatSubExpr<T1,T2>( ~lhs, ~rhs );
598 }
599 //*************************************************************************************************
600 
601 
602 
603 
604 //=================================================================================================
605 //
606 // EXPRESSION TRAIT SPECIALIZATIONS
607 //
608 //=================================================================================================
609 
610 //*************************************************************************************************
612 template< typename MT1, typename MT2 >
613 struct SubmatrixExprTrait< SMatTSMatSubExpr<MT1,MT2> >
614 {
615  public:
616  //**********************************************************************************************
617  typedef typename SubExprTrait< typename SubmatrixExprTrait<const MT1>::Type
618  , typename SubmatrixExprTrait<const MT2>::Type >::Type Type;
619  //**********************************************************************************************
620 };
622 //*************************************************************************************************
623 
624 
625 //*************************************************************************************************
627 template< typename MT1, typename MT2 >
628 struct RowExprTrait< SMatTSMatSubExpr<MT1,MT2> >
629 {
630  public:
631  //**********************************************************************************************
632  typedef typename SubExprTrait< typename RowExprTrait<const MT1>::Type
633  , typename RowExprTrait<const MT2>::Type >::Type Type;
634  //**********************************************************************************************
635 };
637 //*************************************************************************************************
638 
639 
640 //*************************************************************************************************
642 template< typename MT1, typename MT2 >
643 struct ColumnExprTrait< SMatTSMatSubExpr<MT1,MT2> >
644 {
645  public:
646  //**********************************************************************************************
647  typedef typename SubExprTrait< typename ColumnExprTrait<const MT1>::Type
648  , typename ColumnExprTrait<const MT2>::Type >::Type Type;
649  //**********************************************************************************************
650 };
652 //*************************************************************************************************
653 
654 } // namespace blaze
655 
656 #endif
ReturnType operator()(size_t i, size_t j) const
2D-access to the matrix elements.
Definition: SMatTSMatSubExpr.h:155
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.
ResultType::OppositeType OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: SMatTSMatSubExpr.h:116
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
Header file for the ColumnExprTrait class template.
size_t columns() const
Returns the current number of columns of the matrix.
Definition: SMatTSMatSubExpr.h:177
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
LeftOperand lhs_
Left-hand side sparse matrix of the subtraction expression.
Definition: SMatTSMatSubExpr.h:249
Header file for the Computation base class.
Header file for the RequiresEvaluation type trait.
MT1::CompositeType CT1
Composite type of the left-hand side sparse matrix expression.
Definition: SMatTSMatSubExpr.h:95
SubTrait< RT1, RT2 >::Type ResultType
Result type for expression template evaluations.
Definition: SMatTSMatSubExpr.h:115
CompressedMatrix< Type, false > OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: CompressedMatrix.h:2371
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
SMatTSMatSubExpr(const MT1 &lhs, const MT2 &rhs)
Constructor for the SMatTSMatSubExpr class.
Definition: SMatTSMatSubExpr.h:139
Header file for the SparseMatrix base class.
RightOperand rightOperand() const
Returns the right-hand side transpose sparse matrix operand.
Definition: SMatTSMatSubExpr.h:218
Constraint on the data type.
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: SMatTSMatSubExpr.h:198
#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 Element * ConstIterator
Iterator over constant elements.
Definition: CompressedMatrix.h:2379
Expression object for sparse matrix-transpose sparse matrix subtractions.The SMatTSMatSubExpr class r...
Definition: Forward.h:103
ResultType::ElementType ElementType
Resulting element type.
Definition: SMatTSMatSubExpr.h:118
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.
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: SMatTSMatSubExpr.h:242
MT2::ResultType RT2
Result type of the right-hand side sparse matrix expression.
Definition: SMatTSMatSubExpr.h:92
MT1::ResultType RT1
Result type of the left-hand side sparse matrix expression.
Definition: SMatTSMatSubExpr.h:91
Constraints on the storage order of matrix types.
SelectType< IsExpression< MT2 >::value, const MT2, const MT2 & >::Type RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: SMatTSMatSubExpr.h:130
Evaluation of the return type of a subtraction expression.Via this type trait it is possible to evalu...
Definition: SubExprTrait.h:103
LeftOperand leftOperand() const
Returns the left-hand side sparse matrix operand.
Definition: SMatTSMatSubExpr.h:208
const ResultType CompositeType
Data type for composite expression templates.
Definition: SMatTSMatSubExpr.h:124
Header file for the SelectType class template.
Header file for the RowExprTrait class template.
Header file for all forward declarations for expression class templates.
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: SMatTSMatSubExpr.h:117
MT2::CompositeType CT2
Composite type of the right-hand side sparse matrix expression.
Definition: SMatTSMatSubExpr.h:96
Compile time check for resizable data types.This type trait tests whether the given data type is a re...
Definition: IsResizable.h:75
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
Header file for run time assertion macros.
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: SMatTSMatSubExpr.h:230
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
size_t rows() const
Returns the current number of rows of the matrix.
Definition: SMatTSMatSubExpr.h:167
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
const SelectType< returnExpr, ExprReturnType, ElementType >::Type ReturnType
Return type for expression template evaluations.
Definition: SMatTSMatSubExpr.h:121
Header file for the isDefault shim.
Header file for the RemoveReference type trait.
MT2::ReturnType RN2
Return type of the right-hand side sparse matrix expression.
Definition: SMatTSMatSubExpr.h:94
SelectType< IsExpression< MT1 >::value, const MT1, const MT1 & >::Type LeftOperand
Composite type of the left-hand side sparse matrix expression.
Definition: SMatTSMatSubExpr.h:127
MT1::ReturnType RN1
Return type of the left-hand side sparse matrix expression.
Definition: SMatTSMatSubExpr.h:93
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
RightOperand rhs_
Right-hand side sparse matrix of the subtraction expression.
Definition: SMatTSMatSubExpr.h:250
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.
SubExprTrait< RN1, RN2 >::Type ExprReturnType
Expression return type for the subscript operator.
Definition: SMatTSMatSubExpr.h:109
Base template for the SubTrait class.
Definition: SubTrait.h:141
SMatTSMatSubExpr< MT1, MT2 > This
Type of this SMatTSMatSubExpr instance.
Definition: SMatTSMatSubExpr.h:114
Header file for the IsResizable type trait.
Header file for the SubExprTrait class template.
size_t nonZeros() const
Returns the number of non-zero elements in the sparse matrix.
Definition: SMatTSMatSubExpr.h:187
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.