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SMatTSMatAddExpr.h
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1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_SMATTSMATADDEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_SMATTSMATADDEXPR_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 SMATTSMATADDEXPR
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 SMatTSMatAddExpr : public SparseMatrix< SMatTSMatAddExpr<MT1,MT2>, false >
87  , private MatMatAddExpr
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 SMatTSMatAddExpr( const MT1& lhs, const MT2& rhs )
146  : lhs_( lhs ) // Left-hand side sparse matrix of the addition expression
147  , rhs_( rhs ) // Right-hand side sparse matrix of the addition 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****************************************************************
271  template< typename MT // Type of the target dense matrix
272  , bool SO > // Storage order of the target dense matrix
273  friend inline void assign( DenseMatrix<MT,SO>& lhs, const SMatTSMatAddExpr& rhs )
274  {
276 
277  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
278  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
279 
280  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
281 
282  assign( ~lhs, rhs.lhs_ );
283 
285  addAssign( ~lhs, rhs.rhs_ );
286  }
287  else
288  {
289  CT2 B( rhs.rhs_ ); // Evaluation of the right-hand side sparse matrix operand
290 
291  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
292  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
293  BLAZE_INTERNAL_ASSERT( B.rows() == (~lhs).rows() , "Invalid number of rows" );
294  BLAZE_INTERNAL_ASSERT( B.columns() == (~lhs).columns() , "Invalid number of columns" );
295 
296  for( size_t j=0UL; j<(~lhs).columns(); ++j ) {
297  const RightIterator end( B.end(j) );
298  for( RightIterator element=B.begin(j); element!=end; ++element ) {
299  if( isDefault( (~lhs)(element->index(),j) ) )
300  (~lhs)(element->index(),j) = element->value();
301  else
302  (~lhs)(element->index(),j) += element->value();
303  }
304  }
305  }
306  }
308  //**********************************************************************************************
309 
310  //**Assignment to sparse matrices***************************************************************
322  template< typename MT > // Type of the target sparse matrix
323  friend inline void assign( SparseMatrix<MT,false>& lhs, const SMatTSMatAddExpr& rhs )
324  {
326 
327  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
328  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
329 
330  typedef typename RemoveReference<CT1>::Type::ConstIterator LeftIterator;
331  typedef typename RT2::OppositeType::ConstIterator RightIterator;
332 
333  // Evaluation of the left-hand side sparse matrix operand
334  CT1 A( rhs.lhs_ );
335 
336  // Evaluation of the right-hand side sparse matrix operand
337  const typename RT2::OppositeType B( rhs.rhs_ );
338 
339  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
340  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
341  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
342  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
343  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
344  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
345 
346  // Final memory allocation (based on the evaluated operands)
347  (~lhs).reserve( A.nonZeros() + B.nonZeros() );
348 
349  // Performing the matrix addition
350  for( size_t i=0UL; i<(~lhs).rows(); ++i )
351  {
352  const LeftIterator lend( A.end(i) );
353  const RightIterator rend( B.end(i) );
354 
355  LeftIterator l( A.begin(i) );
356  RightIterator r( B.begin(i) );
357 
358  while( l != lend && r != rend )
359  {
360  if( l->index() < r->index() ) {
361  (~lhs).append( i, l->index(), l->value() );
362  ++l;
363  }
364  else if( l->index() > r->index() ) {
365  (~lhs).append( i, r->index(), r->value() );
366  ++r;
367  }
368  else {
369  (~lhs).append( i, l->index(), l->value()+r->value() );
370  ++l;
371  ++r;
372  }
373  }
374 
375  while( l != lend ) {
376  (~lhs).append( i, l->index(), l->value() );
377  ++l;
378  }
379 
380  while( r != rend ) {
381  (~lhs).append( i, r->index(), r->value() );
382  ++r;
383  }
384 
385  (~lhs).finalize( i );
386  }
387  }
389  //**********************************************************************************************
390 
391  //**Assignment to sparse matrices***************************************************************
403  template< typename MT > // Type of the target sparse matrix
404  friend inline void assign( SparseMatrix<MT,true>& lhs, const SMatTSMatAddExpr& rhs )
405  {
407 
408  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
409  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
410 
411  typedef typename RT1::OppositeType::ConstIterator LeftIterator;
412  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
413 
414  // Evaluation of the left-hand side sparse matrix operand
415  const typename RT1::OppositeType A( rhs.lhs_ );
416 
417  // Evaluation of the right-hand side sparse matrix operand
418  CT2 B( rhs.rhs_ );
419 
420  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
421  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
422  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
423  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
424  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
425  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
426 
427  // Final memory allocation (based on the evaluated operands)
428  (~lhs).reserve( A.nonZeros() + B.nonZeros() );
429 
430  // Performing the matrix addition
431  for( size_t j=0UL; j<(~lhs).columns(); ++j )
432  {
433  const LeftIterator lend( A.end(j) );
434  const RightIterator rend( B.end(j) );
435 
436  LeftIterator l( A.begin(j) );
437  RightIterator r( B.begin(j) );
438 
439  while( l != lend && r != rend )
440  {
441  if( l->index() < r->index() ) {
442  (~lhs).append( l->index(), j, l->value() );
443  ++l;
444  }
445  else if( l->index() > r->index() ) {
446  (~lhs).append( r->index(), j, r->value() );
447  ++r;
448  }
449  else {
450  (~lhs).append( l->index(), j, l->value()+r->value() );
451  ++l;
452  ++r;
453  }
454  }
455 
456  while( l != lend ) {
457  (~lhs).append( l->index(), j, l->value() );
458  ++l;
459  }
460 
461  while( r != rend ) {
462  (~lhs).append( r->index(), j, r->value() );
463  ++r;
464  }
465 
466  (~lhs).finalize( j );
467  }
468  }
470  //**********************************************************************************************
471 
472  //**Addition assignment to dense matrices*******************************************************
485  template< typename MT // Type of the target dense matrix
486  , bool SO > // Storage order of the target dense matrix
487  friend inline void addAssign( DenseMatrix<MT,SO>& lhs, const SMatTSMatAddExpr& rhs )
488  {
490 
491  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
492  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
493 
494  smpAddAssign( ~lhs, rhs.lhs_ );
495  smpAddAssign( ~lhs, rhs.rhs_ );
496  }
498  //**********************************************************************************************
499 
500  //**Addition assignment to sparse matrices******************************************************
501  // No special implementation for the addition assignment to sparse matrices.
502  //**********************************************************************************************
503 
504  //**Subtraction assignment to dense matrices****************************************************
517  template< typename MT // Type of the target dense matrix
518  , bool SO > // Storage order of the target dense matrix
519  friend inline void subAssign( DenseMatrix<MT,SO>& lhs, const SMatTSMatAddExpr& rhs )
520  {
522 
523  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
524  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
525 
526  smpSubAssign( ~lhs, rhs.lhs_ );
527  smpSubAssign( ~lhs, rhs.rhs_ );
528  }
530  //**********************************************************************************************
531 
532  //**Subtraction assignment to sparse matrices***************************************************
533  // No special implementation for the subtraction assignment to sparse matrices.
534  //**********************************************************************************************
535 
536  //**Multiplication assignment to dense matrices*************************************************
537  // No special implementation for the multiplication assignment to dense matrices.
538  //**********************************************************************************************
539 
540  //**Multiplication assignment to sparse matrices************************************************
541  // No special implementation for the multiplication assignment to sparse matrices.
542  //**********************************************************************************************
543 
544  //**Compile time checks*************************************************************************
551  //**********************************************************************************************
552 };
553 //*************************************************************************************************
554 
555 
556 
557 
558 //=================================================================================================
559 //
560 // GLOBAL BINARY ARITHMETIC OPERATORS
561 //
562 //=================================================================================================
563 
564 //*************************************************************************************************
593 template< typename T1 // Type of the left-hand side sparse matrix
594  , typename T2 > // Type of the right-hand side sparse matrix
595 inline const SMatTSMatAddExpr<T1,T2>
597 {
599 
600  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
601  throw std::invalid_argument( "Matrix sizes do not match" );
602 
603  return SMatTSMatAddExpr<T1,T2>( ~lhs, ~rhs );
604 }
605 //*************************************************************************************************
606 
607 
608 //*************************************************************************************************
637 template< typename T1 // Type of the left-hand side sparse matrix
638  , typename T2 > // Type of the right-hand side sparse matrix
639 inline const SMatTSMatAddExpr<T2,T1>
641 {
643 
644  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
645  throw std::invalid_argument( "Matrix sizes do not match" );
646 
647  return SMatTSMatAddExpr<T2,T1>( ~rhs, ~lhs );
648 }
649 //*************************************************************************************************
650 
651 
652 
653 
654 //=================================================================================================
655 //
656 // EXPRESSION TRAIT SPECIALIZATIONS
657 //
658 //=================================================================================================
659 
660 //*************************************************************************************************
662 template< typename MT1, typename MT2, bool AF >
663 struct SubmatrixExprTrait< SMatTSMatAddExpr<MT1,MT2>, AF >
664 {
665  public:
666  //**********************************************************************************************
667  typedef typename AddExprTrait< typename SubmatrixExprTrait<const MT1,AF>::Type
668  , typename SubmatrixExprTrait<const MT2,AF>::Type >::Type Type;
669  //**********************************************************************************************
670 };
672 //*************************************************************************************************
673 
674 
675 //*************************************************************************************************
677 template< typename MT1, typename MT2 >
678 struct RowExprTrait< SMatTSMatAddExpr<MT1,MT2> >
679 {
680  public:
681  //**********************************************************************************************
682  typedef typename AddExprTrait< typename RowExprTrait<const MT1>::Type
683  , typename RowExprTrait<const MT2>::Type >::Type Type;
684  //**********************************************************************************************
685 };
687 //*************************************************************************************************
688 
689 
690 //*************************************************************************************************
692 template< typename MT1, typename MT2 >
693 struct ColumnExprTrait< SMatTSMatAddExpr<MT1,MT2> >
694 {
695  public:
696  //**********************************************************************************************
697  typedef typename AddExprTrait< typename ColumnExprTrait<const MT1>::Type
698  , typename ColumnExprTrait<const MT2>::Type >::Type Type;
699  //**********************************************************************************************
700 };
702 //*************************************************************************************************
703 
704 } // namespace blaze
705 
706 #endif
AddExprTrait< RN1, RN2 >::Type ExprReturnType
Expression return type for the subscript operator.
Definition: SMatTSMatAddExpr.h:110
Evaluation of the return type of an addition expression.Via this type trait it is possible to evaluat...
Definition: AddExprTrait.h:103
Compile time check whether the given type is a temporary vector or matrix type.This type trait class ...
Definition: IsTemporary.h:87
LeftOperand lhs_
Left-hand side sparse matrix of the addition expression.
Definition: SMatTSMatAddExpr.h:255
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
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.
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::CompositeType CT1
Composite type of the left-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:96
Header file for the AddExprTrait class template.
size_t columns() const
Returns the current number of columns of the matrix.
Definition: SMatTSMatAddExpr.h:183
Header file for the Computation base class.
MT2::ReturnType RN2
Evaluation type of the right-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:95
Header file for the RequiresEvaluation type trait.
CompressedMatrix< Type, false > OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: CompressedMatrix.h:2380
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
size_t nonZeros(size_t i) const
Returns the number of non-zero elements in the specified row.
Definition: SMatTSMatAddExpr.h:204
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
ResultType::ElementType ElementType
Resulting element type.
Definition: SMatTSMatAddExpr.h:119
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.
#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: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
const DenseIterator< Type > operator+(const DenseIterator< Type > &it, ptrdiff_t inc)
Addition between a DenseIterator and an integral value.
Definition: DenseIterator.h:556
const SelectType< returnExpr, ExprReturnType, ElementType >::Type ReturnType
Return type for expression template evaluations.
Definition: SMatTSMatAddExpr.h:122
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: SMatTSMatAddExpr.h:118
Constraints on the storage order of matrix types.
size_t nonZeros() const
Returns the number of non-zero elements in the sparse matrix.
Definition: SMatTSMatAddExpr.h:193
LeftOperand leftOperand() const
Returns the left-hand side sparse matrix operand.
Definition: SMatTSMatAddExpr.h:214
Header file for the SelectType class template.
Header file for the RowExprTrait class template.
Header file for all forward declarations for expression class templates.
SelectType< IsExpression< MT1 >::value, const MT1, const MT1 & >::Type LeftOperand
Composite type of the left-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:128
Compile time check for resizable data types.This type trait tests whether the given data type is a re...
Definition: IsResizable.h:75
ReturnType operator()(size_t i, size_t j) const
2D-access to the matrix elements.
Definition: SMatTSMatAddExpr.h:161
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:2383
Removal of reference modifiers.The RemoveCV type trait removes any reference modifiers from the given...
Definition: RemoveReference.h:69
RightOperand rhs_
Right-hand side sparse matrix of the addition expression.
Definition: SMatTSMatAddExpr.h:256
Header file for run time assertion macros.
Base template for the AddTrait class.
Definition: AddTrait.h:141
Header file for the addition trait.
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
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.
size_t rows() const
Returns the current number of rows of the matrix.
Definition: SMatTSMatAddExpr.h:173
RightOperand rightOperand() const
Returns the right-hand side transpose sparse matrix operand.
Definition: SMatTSMatAddExpr.h:224
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: SMatTSMatAddExpr.h:236
Header file for the MatMatAddExpr base class.
Header file for the RemoveReference type trait.
const ResultType CompositeType
Data type for composite expression templates.
Definition: SMatTSMatAddExpr.h:125
Expression object for sparse matrix-transpose sparse matrix additions.The SMatTSMatAddExpr class repr...
Definition: Forward.h:101
MT1::ReturnType RN1
Evaluation type of the left-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:94
Header file for the IsComputation type trait class.
AddTrait< RT1, RT2 >::Type ResultType
Result type for expression template evaluations.
Definition: SMatTSMatAddExpr.h:116
#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
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: SMatTSMatAddExpr.h:248
Header file for basic type definitions.
SMatTSMatAddExpr< MT1, MT2 > This
Type of this SMatTSMatAddExpr instance.
Definition: SMatTSMatAddExpr.h:115
MT1::ResultType RT1
Result type of the left-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:92
ResultType::OppositeType OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: SMatTSMatAddExpr.h:117
MT2::ResultType RT2
Result type of the right-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:93
MT2::CompositeType CT2
Composite type of the right-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:97
Header file for the IsResizable type trait.
SelectType< IsExpression< MT2 >::value, const MT2, const MT2 & >::Type RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: SMatTSMatAddExpr.h:131
SMatTSMatAddExpr(const MT1 &lhs, const MT2 &rhs)
Constructor for the SMatTSMatAddExpr class.
Definition: SMatTSMatAddExpr.h:145
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.