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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>
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 TSMATSMATSUBEXPR
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 TSMatSMatSubExpr : public SparseMatrix< TSMatSMatSubExpr<MT1,MT2>, false >
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 TSMatSMatSubExpr( 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****************************************************************
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 TSMatSMatSubExpr& 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  subAssign( ~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 i=0UL; i<(~lhs).rows(); ++i ) {
297  const RightIterator end( B.end(i) );
298  for( RightIterator element=B.begin(i); element!=end; ++element ) {
299  if( isDefault( (~lhs)(i,element->index()) ) )
300  (~lhs)(i,element->index()) = -element->value();
301  else
302  (~lhs)(i,element->index()) -= element->value();
303  }
304  }
305  }
306  }
308  //**********************************************************************************************
309 
310  //**Assignment to row-major sparse matrices*****************************************************
323  template< typename MT > // Type of the target sparse matrix
324  friend inline void assign( SparseMatrix<MT,false>& lhs, const TSMatSMatSubExpr& rhs )
325  {
327 
328  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
329  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
330 
331  typedef typename RT1::OppositeType::ConstIterator LeftIterator;
332  typedef typename RemoveReference<CT2>::Type::ConstIterator RightIterator;
333 
334  // Evaluation of the left-hand side sparse matrix operand
335  const typename RT1::OppositeType A( rhs.lhs_ );
336 
337  // Evaluation of the right-hand side sparse matrix operand
338  CT2 B( rhs.rhs_ );
339 
340  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
341  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
342  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
343  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
344  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
345  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
346 
347  // Final memory allocation (based on the evaluated operands)
348  (~lhs).reserve( A.nonZeros() + B.nonZeros() );
349 
350  // Performing the matrix subtraction
351  for( size_t i=0UL; i<(~lhs).rows(); ++i )
352  {
353  const LeftIterator lend( A.end(i) );
354  const RightIterator rend( B.end(i) );
355 
356  LeftIterator l( A.begin(i) );
357  RightIterator r( B.begin(i) );
358 
359  while( l != lend && r != rend )
360  {
361  if( l->index() < r->index() ) {
362  (~lhs).append( i, l->index(), l->value() );
363  ++l;
364  }
365  else if( l->index() > r->index() ) {
366  (~lhs).append( i, r->index(), -r->value() );
367  ++r;
368  }
369  else {
370  (~lhs).append( i, l->index(), l->value()-r->value() );
371  ++l;
372  ++r;
373  }
374  }
375 
376  while( l != lend ) {
377  (~lhs).append( i, l->index(), l->value() );
378  ++l;
379  }
380 
381  while( r != rend ) {
382  (~lhs).append( i, r->index(), -r->value() );
383  ++r;
384  }
385 
386  (~lhs).finalize( i );
387  }
388  }
390  //**********************************************************************************************
391 
392  //**Assignment to column-major sparse matrices**************************************************
405  template< typename MT > // Type of the target sparse matrix
406  friend inline void assign( SparseMatrix<MT,true>& lhs, const TSMatSMatSubExpr& rhs )
407  {
409 
410  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
411  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
412 
413  typedef typename RemoveReference<CT1>::Type::ConstIterator LeftIterator;
414  typedef typename RT2::OppositeType::ConstIterator RightIterator;
415 
416  // Evaluation of the left-hand side sparse matrix operand
417  CT1 A( rhs.lhs_ );
418 
419  // Evaluation of the right-hand side sparse matrix operand
420  const typename RT2::OppositeType B( rhs.rhs_ );
421 
422  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.lhs_.rows() , "Invalid number of rows" );
423  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
424  BLAZE_INTERNAL_ASSERT( B.rows() == rhs.rhs_.rows() , "Invalid number of rows" );
425  BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
426  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).rows() , "Invalid number of rows" );
427  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns() , "Invalid number of columns" );
428 
429  // Final memory allocation (based on the evaluated operands)
430  (~lhs).reserve( A.nonZeros() + B.nonZeros() );
431 
432  // Performing the matrix subtraction
433  for( size_t j=0UL; j<(~lhs).columns(); ++j )
434  {
435  const LeftIterator lend( A.end(j) );
436  const RightIterator rend( B.end(j) );
437 
438  LeftIterator l( A.begin(j) );
439  RightIterator r( B.begin(j) );
440 
441  while( l != lend && r != rend )
442  {
443  if( l->index() < r->index() ) {
444  (~lhs).append( l->index(), j, l->value() );
445  ++l;
446  }
447  else if( l->index() > r->index() ) {
448  (~lhs).append( r->index(), j, -r->value() );
449  ++r;
450  }
451  else {
452  (~lhs).append( l->index(), j, l->value()-r->value() );
453  ++l;
454  ++r;
455  }
456  }
457 
458  while( l != lend ) {
459  (~lhs).append( l->index(), j, l->value() );
460  ++l;
461  }
462 
463  while( r != rend ) {
464  (~lhs).append( r->index(), j, -r->value() );
465  ++r;
466  }
467 
468  (~lhs).finalize( j );
469  }
470  }
472  //**********************************************************************************************
473 
474  //**Addition assignment to dense matrices*******************************************************
487  template< typename MT // Type of the target dense matrix
488  , bool SO > // Storage order of the target dense matrix
489  friend inline void addAssign( DenseMatrix<MT,SO>& lhs, const TSMatSMatSubExpr& rhs )
490  {
492 
493  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
494  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
495 
496  smpAddAssign( ~lhs, rhs.lhs_ );
497  smpSubAssign( ~lhs, rhs.rhs_ );
498  }
500  //**********************************************************************************************
501 
502  //**Addition assignment to sparse matrices******************************************************
503  // No special implementation for the addition assignment to sparse matrices.
504  //**********************************************************************************************
505 
506  //**Subtraction assignment to dense matrices****************************************************
519  template< typename MT // Type of the target dense matrix
520  , bool SO > // Storage order of the target dense matrix
521  friend inline void subAssign( DenseMatrix<MT,SO>& lhs, const TSMatSMatSubExpr& rhs )
522  {
524 
525  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
526  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
527 
528  smpSubAssign( ~lhs, rhs.lhs_ );
529  smpAddAssign( ~lhs, rhs.rhs_ );
530  }
532  //**********************************************************************************************
533 
534  //**Subtraction assignment to sparse matrices***************************************************
535  // No special implementation for the subtraction assignment to sparse matrices.
536  //**********************************************************************************************
537 
538  //**Multiplication assignment to dense matrices*************************************************
539  // No special implementation for the multiplication assignment to dense matrices.
540  //**********************************************************************************************
541 
542  //**Multiplication assignment to sparse matrices************************************************
543  // No special implementation for the multiplication assignment to sparse matrices.
544  //**********************************************************************************************
545 
546  //**Compile time checks*************************************************************************
553  //**********************************************************************************************
554 };
555 //*************************************************************************************************
556 
557 
558 
559 
560 //=================================================================================================
561 //
562 // GLOBAL BINARY ARITHMETIC OPERATORS
563 //
564 //=================================================================================================
565 
566 //*************************************************************************************************
595 template< typename T1 // Type of the left-hand side sparse matrix
596  , typename T2 > // Type of the right-hand side sparse matrix
597 inline const TSMatSMatSubExpr<T1,T2>
599 {
601 
602  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() )
603  throw std::invalid_argument( "Matrix sizes do not match" );
604 
605  return TSMatSMatSubExpr<T1,T2>( ~lhs, ~rhs );
606 }
607 //*************************************************************************************************
608 
609 
610 
611 
612 //=================================================================================================
613 //
614 // EXPRESSION TRAIT SPECIALIZATIONS
615 //
616 //=================================================================================================
617 
618 //*************************************************************************************************
620 template< typename MT1, typename MT2, bool AF >
621 struct SubmatrixExprTrait< TSMatSMatSubExpr<MT1,MT2>, AF >
622 {
623  public:
624  //**********************************************************************************************
625  typedef typename SubExprTrait< typename SubmatrixExprTrait<const MT1,AF>::Type
626  , typename SubmatrixExprTrait<const MT2,AF>::Type >::Type Type;
627  //**********************************************************************************************
628 };
630 //*************************************************************************************************
631 
632 
633 //*************************************************************************************************
635 template< typename MT1, typename MT2 >
636 struct RowExprTrait< TSMatSMatSubExpr<MT1,MT2> >
637 {
638  public:
639  //**********************************************************************************************
640  typedef typename SubExprTrait< typename RowExprTrait<const MT1>::Type
641  , typename RowExprTrait<const MT2>::Type >::Type Type;
642  //**********************************************************************************************
643 };
645 //*************************************************************************************************
646 
647 
648 //*************************************************************************************************
650 template< typename MT1, typename MT2 >
651 struct ColumnExprTrait< TSMatSMatSubExpr<MT1,MT2> >
652 {
653  public:
654  //**********************************************************************************************
655  typedef typename SubExprTrait< typename ColumnExprTrait<const MT1>::Type
656  , typename ColumnExprTrait<const MT2>::Type >::Type Type;
657  //**********************************************************************************************
658 };
660 //*************************************************************************************************
661 
662 } // namespace blaze
663 
664 #endif
SubTrait< RT1, RT2 >::Type ResultType
Result type for expression template evaluations.
Definition: TSMatSMatSubExpr.h:116
size_t rows() const
Returns the current number of rows of the matrix.
Definition: TSMatSMatSubExpr.h:173
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: TSMatSMatSubExpr.h:236
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:125
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
ResultType::ElementType ElementType
Resulting element type.
Definition: TSMatSMatSubExpr.h:119
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
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:93
CompressedMatrix< Type, false > OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: CompressedMatrix.h:2380
MT1::ReturnType RN1
Return type of the left-hand side sparse matrix expression.
Definition: TSMatSMatSubExpr.h:94
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.
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
SubExprTrait< RN1, RN2 >::Type ExprReturnType
Expression return type for the subscript operator.
Definition: TSMatSMatSubExpr.h:110
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:204
size_t nonZeros() const
Returns the number of non-zero elements in the sparse matrix.
Definition: TSMatSMatSubExpr.h:193
const SelectType< returnExpr, ExprReturnType, ElementType >::Type ReturnType
Return type for expression template evaluations.
Definition: TSMatSMatSubExpr.h:122
#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:96
const Element * ConstIterator
Iterator over constant elements.
Definition: CompressedMatrix.h:2388
MT2::CompositeType CT2
Composite type of the right-hand side sparse matrix expression.
Definition: TSMatSMatSubExpr.h:97
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.
LeftOperand leftOperand() const
Returns the left-hand side transpose sparse matrix operand.
Definition: TSMatSMatSubExpr.h:214
SelectType< IsExpression< MT2 >::value, const MT2, const MT2 & >::Type RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: TSMatSMatSubExpr.h:131
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:255
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:95
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:128
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 rightOperand() const
Returns the right-hand side sparse matrix operand.
Definition: TSMatSMatSubExpr.h:224
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:117
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:115
TSMatSMatSubExpr(const MT1 &lhs, const MT2 &rhs)
Constructor for the TSMatSMatSubExpr class.
Definition: TSMatSMatSubExpr.h:145
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: TSMatSMatSubExpr.h:248
Header file for the RemoveReference type trait.
RightOperand rhs_
Right-hand side sparse matrix of the subtraction expression.
Definition: TSMatSMatSubExpr.h:256
size_t columns() const
Returns the current number of columns of the matrix.
Definition: TSMatSMatSubExpr.h:183
MT1::ResultType RT1
Result type of the left-hand side sparse matrix expression.
Definition: TSMatSMatSubExpr.h:92
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:2379
ReturnType operator()(size_t i, size_t j) const
2D-access to the matrix elements.
Definition: TSMatSMatSubExpr.h:161
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:118
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.