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TSVecTDMatMultExpr.h
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1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_TSVECTDMATMULTEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_TSVECTDMATMULTEXPR_H_
37 
38 
39 //*************************************************************************************************
40 // Includes
41 //*************************************************************************************************
42 
43 #include <stdexcept>
55 #include <blaze/math/shims/Reset.h>
69 #include <blaze/util/Assert.h>
71 #include <blaze/util/DisableIf.h>
72 #include <blaze/util/EnableIf.h>
74 #include <blaze/util/mpl/Or.h>
75 #include <blaze/util/SelectType.h>
76 #include <blaze/util/Types.h>
78 
79 
80 namespace blaze {
81 
82 //=================================================================================================
83 //
84 // CLASS TSVECDMATMULTEXPR
85 //
86 //=================================================================================================
87 
88 //*************************************************************************************************
95 template< typename VT // Type of the left-hand side sparse vector
96  , typename MT > // Type of the right-hand side dense matrix
97 class TSVecTDMatMultExpr : public DenseVector< TSVecTDMatMultExpr<VT,MT>, true >
98  , private TVecMatMultExpr
99  , private Computation
100 {
101  private:
102  //**Type definitions****************************************************************************
103  typedef typename VT::ResultType VRT;
104  typedef typename MT::ResultType MRT;
105  typedef typename VT::CompositeType VCT;
106  typedef typename MT::CompositeType MCT;
107  //**********************************************************************************************
108 
109  //**********************************************************************************************
111  enum { evaluateVector = IsComputation<VT>::value || RequiresEvaluation<VT>::value };
112  //**********************************************************************************************
113 
114  //**********************************************************************************************
116  enum { evaluateMatrix = RequiresEvaluation<MT>::value };
117  //**********************************************************************************************
118 
119  //**********************************************************************************************
121 
127  enum { useAssign = ( evaluateVector || evaluateMatrix ) };
128  //**********************************************************************************************
129 
130  //**********************************************************************************************
132  template< typename VT2 >
134  struct UseAssign {
135  enum { value = useAssign };
136  };
138  //**********************************************************************************************
139 
140  //**********************************************************************************************
142 
146  template< typename T1 >
147  struct UseSMPAssign {
148  enum { value = useAssign };
149  };
151  //**********************************************************************************************
152 
153  public:
154  //**Type definitions****************************************************************************
159  typedef const ElementType ReturnType;
160 
163 
165  typedef typename SelectType< IsExpression<VT>::value, const VT, const VT& >::Type LeftOperand;
166 
168  typedef typename SelectType< IsExpression<MT>::value, const MT, const MT& >::Type RightOperand;
169 
172 
175  //**********************************************************************************************
176 
177  //**Compilation flags***************************************************************************
179  enum { vectorizable = 0 };
180 
182  enum { smpAssignable = !evaluateVector && VT::smpAssignable &&
183  !evaluateMatrix && MT::smpAssignable };
184  //**********************************************************************************************
185 
186  //**Constructor*********************************************************************************
192  explicit inline TSVecTDMatMultExpr( const VT& vec, const MT& mat )
193  : vec_( vec ) // Left-hand side sparse vector of the multiplication expression
194  , mat_( mat ) // Right-hand side dense matrix of the multiplication expression
195  {
196  BLAZE_INTERNAL_ASSERT( vec_.size() == mat_.rows(), "Invalid vector and matrix sizes" );
197  }
198  //**********************************************************************************************
199 
200  //**Subscript operator**************************************************************************
206  inline ReturnType operator[]( size_t index ) const {
207  BLAZE_INTERNAL_ASSERT( index < mat_.columns(), "Invalid vector access index" );
208 
210 
211  VCT x( vec_ ); // Evaluation of the left-hand side sparse vector operand
212 
213  BLAZE_INTERNAL_ASSERT( x.size() == vec_.size(), "Invalid vector size" );
214 
215  const ConstIterator end( x.end() );
216  ConstIterator element( x.begin() );
217  ElementType res;
218 
219  if( element != end ) {
220  res = element->value() * mat_( element->index(), index );
221  ++element;
222  for( ; element!=end; ++element )
223  res += element->value() * mat_( element->index(), index );
224  }
225  else {
226  reset( res );
227  }
228 
229  return res;
230  }
231  //**********************************************************************************************
232 
233  //**Size function*******************************************************************************
238  inline size_t size() const {
239  return mat_.columns();
240  }
241  //**********************************************************************************************
242 
243  //**Left operand access*************************************************************************
248  inline LeftOperand leftOperand() const {
249  return vec_;
250  }
251  //**********************************************************************************************
252 
253  //**Right operand access************************************************************************
258  inline RightOperand rightOperand() const {
259  return mat_;
260  }
261  //**********************************************************************************************
262 
263  //**********************************************************************************************
269  template< typename T >
270  inline bool canAlias( const T* alias ) const {
271  return vec_.isAliased( alias ) || mat_.isAliased( alias );
272  }
273  //**********************************************************************************************
274 
275  //**********************************************************************************************
281  template< typename T >
282  inline bool isAliased( const T* alias ) const {
283  return vec_.isAliased( alias ) || mat_.isAliased( alias );
284  }
285  //**********************************************************************************************
286 
287  //**********************************************************************************************
292  inline bool isAligned() const {
293  return mat_.isAligned();
294  }
295  //**********************************************************************************************
296 
297  //**********************************************************************************************
302  inline bool canSMPAssign() const {
303  return ( size() > SMP_TSVECTDMATMULT_THRESHOLD );
304  }
305  //**********************************************************************************************
306 
307  private:
308  //**Member variables****************************************************************************
309  LeftOperand vec_;
310  RightOperand mat_;
311  //**********************************************************************************************
312 
313  //**Assignment to dense vectors*****************************************************************
329  template< typename VT2 > // Type of the target dense vector
330  friend inline typename EnableIf< UseAssign<VT2> >::Type
332  {
334 
335  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
336 
338 
339  // Evaluation of the left-hand side sparse vector operand
340  LT x( serial( rhs.vec_ ) );
341  if( x.nonZeros() == 0UL ) {
342  reset( ~lhs );
343  return;
344  }
345 
346  // Evaluation of the right-hand side dense matrix operand
347  RT A( serial( rhs.mat_ ) );
348 
349  // Checking the evaluated operands
350  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
351  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
352  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
353  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
354 
355  // Performing the sparse vector-dense matrix multiplication
356  assign( ~lhs, x * A );
357  }
359  //**********************************************************************************************
360 
361  //**Assignment to sparse vectors****************************************************************
377  template< typename VT2 > // Type of the target sparse vector
378  friend inline typename EnableIf< UseAssign<VT2> >::Type
380  {
382 
386 
387  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
388 
389  const ResultType tmp( serial( rhs ) );
390  assign( ~lhs, tmp );
391  }
393  //**********************************************************************************************
394 
395  //**Addition assignment to dense vectors********************************************************
410  template< typename VT2 > // Type of the target dense vector
411  friend inline typename EnableIf< UseAssign<VT2> >::Type
413  {
415 
416  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
417 
419 
420  // Evaluation of the left-hand side sparse vector operand
421  LT x( serial( rhs.vec_ ) );
422  if( x.nonZeros() == 0UL ) return;
423 
424  // Evaluation of the right-hand side dense matrix operand
425  RT A( serial( rhs.mat_ ) );
426 
427  // Checking the evaluated operands
428  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
429  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
430  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
431  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
432 
433  // Performing the sparse vector-dense matrix multiplication
434  addAssign( ~lhs, x * A );
435  }
436  //**********************************************************************************************
437 
438  //**Addition assignment to sparse vectors*******************************************************
439  // No special implementation for the addition assignment to sparse vectors.
440  //**********************************************************************************************
441 
442  //**Subtraction assignment to dense vectors*****************************************************
457  template< typename VT2 > // Type of the target dense vector
458  friend inline typename EnableIf< UseAssign<VT2> >::Type
460  {
462 
463  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
464 
466 
467  // Evaluation of the left-hand side sparse vector operand
468  LT x( serial( rhs.vec_ ) );
469  if( x.nonZeros() == 0UL ) return;
470 
471  // Evaluation of the right-hand side dense matrix operand
472  RT A( serial( rhs.mat_ ) );
473 
474  // Checking the evaluated operands
475  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
476  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
477  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
478  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
479 
480  // Performing the sparse vector-dense matrix multiplication
481  subAssign( ~lhs, x * A );
482  }
483  //**********************************************************************************************
484 
485  //**Subtraction assignment to sparse vectors****************************************************
486  // No special implementation for the subtraction assignment to sparse vectors.
487  //**********************************************************************************************
488 
489  //**Multiplication assignment to dense vectors**************************************************
504  template< typename VT2 > // Type of the target dense vector
505  friend inline typename EnableIf< UseAssign<VT2> >::Type
507  {
509 
513 
514  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
515 
516  const ResultType tmp( serial( rhs ) );
517  multAssign( ~lhs, tmp );
518  }
519  //**********************************************************************************************
520 
521  //**Multiplication assignment to sparse vectors*************************************************
522  // No special implementation for the multiplication assignment to sparse vectors.
523  //**********************************************************************************************
524 
525  //**SMP assignment to dense vectors*************************************************************
540  template< typename VT2 > // Type of the target dense vector
541  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
543  {
545 
546  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
547 
549 
550  // Evaluation of the left-hand side sparse vector operand
551  LT x( rhs.vec_ );
552  if( x.nonZeros() == 0UL ) {
553  reset( ~lhs );
554  return;
555  }
556 
557  // Evaluation of the right-hand side dense matrix operand
558  RT A( rhs.mat_ );
559 
560  // Checking the evaluated operands
561  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
562  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
563  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
564  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
565 
566  // Performing the sparse vector-dense matrix multiplication
567  smpAssign( ~lhs, x * A );
568  }
570  //**********************************************************************************************
571 
572  //**SMP assignment to sparse vectors************************************************************
587  template< typename VT2 > // Type of the target sparse vector
588  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
589  smpAssign( SparseVector<VT2,true>& lhs, const TSVecTDMatMultExpr& rhs )
590  {
592 
596 
597  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
598 
599  const ResultType tmp( rhs );
600  smpAssign( ~lhs, tmp );
601  }
603  //**********************************************************************************************
604 
605  //**SMP addition assignment to dense vectors****************************************************
619  template< typename VT2 > // Type of the target dense vector
620  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
622  {
624 
625  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
626 
628 
629  // Evaluation of the left-hand side sparse vector operand
630  LT x( rhs.vec_ );
631  if( x.nonZeros() == 0UL ) return;
632 
633  // Evaluation of the right-hand side dense matrix operand
634  RT A( rhs.mat_ );
635 
636  // Checking the evaluated operands
637  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
638  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
639  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
640  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
641 
642  // Performing the sparse vector-dense matrix multiplication
643  smpAddAssign( ~lhs, x * A );
644  }
645  //**********************************************************************************************
646 
647  //**SMP addition assignment to sparse vectors***************************************************
648  // No special implementation for the SMP addition assignment to sparse vectors.
649  //**********************************************************************************************
650 
651  //**SMP subtraction assignment to dense vectors*************************************************
665  template< typename VT2 > // Type of the target dense vector
666  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
668  {
670 
671  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
672 
674 
675  // Evaluation of the left-hand side sparse vector operand
676  LT x( rhs.vec_ );
677  if( x.nonZeros() == 0UL ) return;
678 
679  // Evaluation of the right-hand side dense matrix operand
680  RT A( rhs.mat_ );
681 
682  // Checking the evaluated operands
683  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
684  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
685  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
686  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
687 
688  // Performing the sparse vector-dense matrix multiplication
689  smpSubAssign( ~lhs, x * A );
690  }
691  //**********************************************************************************************
692 
693  //**SMP subtraction assignment to sparse vectors************************************************
694  // No special implementation for the SMP subtraction assignment to sparse vectors.
695  //**********************************************************************************************
696 
697  //**SMP multiplication assignment to dense vectors**********************************************
712  template< typename VT2 > // Type of the target dense vector
713  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
715  {
717 
721 
722  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
723 
724  const ResultType tmp( rhs );
725  smpMultAssign( ~lhs, tmp );
726  }
727  //**********************************************************************************************
728 
729  //**SMP multiplication assignment to sparse vectors*********************************************
730  // No special implementation for the SMP multiplication assignment to sparse vectors.
731  //**********************************************************************************************
732 
733  //**Compile time checks*************************************************************************
741  //**********************************************************************************************
742 };
743 //*************************************************************************************************
744 
745 
746 
747 
748 //=================================================================================================
749 //
750 // GLOBAL BINARY ARITHMETIC OPERATORS
751 //
752 //=================================================================================================
753 
754 //*************************************************************************************************
785 template< typename T1, typename T2 >
786 inline const typename DisableIf< Or< IsSymmetric<T2>, IsMatMatMultExpr<T2> >
787  , TSVecTDMatMultExpr<T1,T2> >::Type
789 {
791 
792  if( (~vec).size() != (~mat).rows() )
793  throw std::invalid_argument( "Vector and matrix sizes do not match" );
794 
795  return TSVecTDMatMultExpr<T1,T2>( ~vec, ~mat );
796 }
797 //*************************************************************************************************
798 
799 
800 
801 
802 //=================================================================================================
803 //
804 // GLOBAL RESTRUCTURING BINARY ARITHMETIC OPERATORS
805 //
806 //=================================================================================================
807 
808 //*************************************************************************************************
823 template< typename T1 // Type of the left-hand side sparse vector
824  , typename T2 > // Type of the right-hand side dense matrix
825 inline const typename EnableIf< IsSymmetric<T2>, typename MultExprTrait<T1,T2>::Type >::Type
826  operator*( const SparseVector<T1,true>& vec, const DenseMatrix<T2,true>& mat )
827 {
829 
831 
832  if( (~vec).size() != (~mat).rows() )
833  throw std::invalid_argument( "Vector and matrix sizes do not match" );
834 
835  return (~vec) * trans( ~mat );
836 }
838 //*************************************************************************************************
839 
840 
841 
842 
843 //=================================================================================================
844 //
845 // SIZE SPECIALIZATIONS
846 //
847 //=================================================================================================
848 
849 //*************************************************************************************************
851 template< typename MT, typename VT >
852 struct Size< TSVecTDMatMultExpr<MT,VT> >
853  : public Columns<MT>
854 {};
856 //*************************************************************************************************
857 
858 
859 
860 
861 //=================================================================================================
862 //
863 // EXPRESSION TRAIT SPECIALIZATIONS
864 //
865 //=================================================================================================
866 
867 //*************************************************************************************************
869 template< typename VT, typename MT, bool AF >
870 struct SubvectorExprTrait< TSVecTDMatMultExpr<VT,MT>, AF >
871 {
872  public:
873  //**********************************************************************************************
874  typedef typename MultExprTrait< VT, typename SubmatrixExprTrait<const MT,AF>::Type >::Type Type;
875  //**********************************************************************************************
876 };
878 //*************************************************************************************************
879 
880 } // namespace blaze
881 
882 #endif
Compile time check whether the given type is a computational expression template.This type trait clas...
Definition: IsComputation.h:89
bool isAligned() const
Returns whether the operands of the expression are properly aligned in memory.
Definition: TSVecTDMatMultExpr.h:292
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: TSVecTDMatMultExpr.h:270
const DMatDMatMultExpr< T1, T2 > operator*(const DenseMatrix< T1, false > &lhs, const DenseMatrix< T2, false > &rhs)
Multiplication operator for the multiplication of two row-major dense matrices ( ).
Definition: DMatDMatMultExpr.h:4838
BLAZE_ALWAYS_INLINE MT::Iterator end(Matrix< MT, SO > &matrix, size_t i)
Returns an iterator just past the last element of row/column i.
Definition: Matrix.h:258
Efficient implementation of a compressed matrix.The CompressedMatrix class template is the represent...
Definition: CompressedMatrix.h:205
#define BLAZE_CONSTRAINT_MUST_BE_DENSE_MATRIX_TYPE(T)
Constraint on the data type.In case the given data type T is not a dense, N-dimensional matrix type...
Definition: DenseMatrix.h:79
SelectType< IsExpression< MT >::value, const MT, const MT & >::Type RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: TSVecTDMatMultExpr.h:168
MT::ResultType MRT
Result type of the right-hand side dense matrix expression.
Definition: TSVecTDMatMultExpr.h:104
const This & CompositeType
Data type for composite expression templates.
Definition: CompressedMatrix.h:2478
Type ElementType
Type of the sparse matrix elements.
Definition: CompressedMatrix.h:257
BLAZE_ALWAYS_INLINE size_t rows(const Matrix< MT, SO > &matrix)
Returns the current number of rows of the matrix.
Definition: Matrix.h:316
Header file for the DenseVector base class.
ResultType::ElementType ElementType
Resulting element type.
Definition: TSVecTDMatMultExpr.h:158
const DMatSerialExpr< MT, SO > serial(const DenseMatrix< MT, SO > &dm)
Forces the serial evaluation of the given dense matrix expression dm.
Definition: DMatSerialExpr.h:695
Header file for the Computation base class.
Header file for the RequiresEvaluation type trait.
Base class for dense matrices.The DenseMatrix class is a base class for all dense matrix classes...
Definition: DenseMatrix.h:70
Constraint on the data type.
VT::ResultType VRT
Result type of the left-hand side sparse vector expression.
Definition: TSVecTDMatMultExpr.h:103
Constraint on the data type.
friend EnableIf< UseSMPAssign< VT2 > >::Type smpMultAssign(DenseVector< VT2, true > &lhs, const TSVecTDMatMultExpr &rhs)
SMP multiplication assignment of a transpose sparse vector-transpose dense matrix multiplication to a...
Definition: TSVecTDMatMultExpr.h:714
Header file for the MultExprTrait class template.
Compile time check to query the requirement to evaluate an expression.Via this type trait it is possi...
Definition: RequiresEvaluation.h:90
SelectType< evaluateVector, const VRT, VCT >::Type LT
Type for the assignment of the left-hand side sparse vector operand.
Definition: TSVecTDMatMultExpr.h:171
const This & CompositeType
Data type for composite expression templates.
Definition: CompressedMatrix.h:259
friend EnableIf< UseSMPAssign< VT2 > >::Type smpSubAssign(DenseVector< VT2, true > &lhs, const TSVecTDMatMultExpr &rhs)
SMP subtraction assignment of a transpose sparse vector-transpose dense matrix multiplication to a de...
Definition: TSVecTDMatMultExpr.h:667
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 DisableIf class template.
Header file for the multiplication trait.
Header file for the IsSymmetric type trait.
RightOperand rightOperand() const
Returns the right-hand side transpose dense matrix operand.
Definition: TSVecTDMatMultExpr.h:258
#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
VT::CompositeType VCT
Composite type of the left-hand side sparse vector expression.
Definition: TSVecTDMatMultExpr.h:105
const Element * ConstIterator
Iterator over constant elements.
Definition: CompressedMatrix.h:2482
MultTrait< VRT, MRT >::Type ResultType
Result type for expression template evaluations.
Definition: TSVecTDMatMultExpr.h:156
Header file for the Or class template.
friend EnableIf< UseAssign< VT2 > >::Type multAssign(DenseVector< VT2, true > &lhs, const TSVecTDMatMultExpr &rhs)
Multiplication assignment of a transpose sparse vector-transpose dense matrix multiplication to a den...
Definition: TSVecTDMatMultExpr.h:506
Header file for the IsMatMatMultExpr type trait class.
BLAZE_ALWAYS_INLINE 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:635
const size_t SMP_TSVECTDMATMULT_THRESHOLD
SMP sparse vector/column-major dense matrix multiplication threshold.This threshold specifies when a ...
Definition: Thresholds.h:483
Header file for the Columns type trait.
LeftOperand vec_
Left-hand side sparse vector of the multiplication expression.
Definition: TSVecTDMatMultExpr.h:309
LeftOperand leftOperand() const
Returns the left-hand side sparse vector operand.
Definition: TSVecTDMatMultExpr.h:248
SelectType< useAssign, const ResultType, const TSVecTDMatMultExpr & >::Type CompositeType
Data type for composite expression templates.
Definition: TSVecTDMatMultExpr.h:162
const ElementType ReturnType
Return type for expression template evaluations.
Definition: TSVecTDMatMultExpr.h:159
Base class for N-dimensional dense vectors.The DenseVector class is a base class for all arbitrarily ...
Definition: DenseVector.h:70
#define BLAZE_CONSTRAINT_MUST_BE_SPARSE_VECTOR_TYPE(T)
Constraint on the data type.In case the given data type T is not a sparse, N-dimensional vector type...
Definition: SparseVector.h:79
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: TSVecTDMatMultExpr.h:282
Constraint on the data type.
#define BLAZE_CONSTRAINT_MUST_NOT_BE_MATMATMULTEXPR_TYPE(T)
Constraint on the data type.In case the given data type T is a matrix/matrix multiplication expressio...
Definition: MatMatMultExpr.h:126
#define BLAZE_CONSTRAINT_MUST_BE_REFERENCE_TYPE(T)
Constraint on the data type.In case the given data type T is not a reference type, a compilation error is created.
Definition: Reference.h:78
Constraints on the storage order of matrix types.
Constraint on the data type.
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: TSVecTDMatMultExpr.h:157
Header file for the SelectType class template.
Header file for all forward declarations for expression class templates.
Constraint on the data type.
Header file for the EnableIf class template.
Header file for the serial shim.
RightOperand mat_
Right-hand side dense matrix of the multiplication expression.
Definition: TSVecTDMatMultExpr.h:310
SelectType< evaluateMatrix, const MRT, MCT >::Type RT
Type for the assignment of the left-hand side dense matrix operand.
Definition: TSVecTDMatMultExpr.h:174
SelectType< IsExpression< VT >::value, const VT, const VT & >::Type LeftOperand
Composite type of the left-hand side sparse vector expression.
Definition: TSVecTDMatMultExpr.h:165
Header file for the SubmatrixExprTrait class template.
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.
EnableIf< IsDenseMatrix< MT1 > >::Type smpAssign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the SMP assignment of a matrix to a dense matrix.
Definition: DenseMatrix.h:98
friend EnableIf< UseAssign< VT2 > >::Type subAssign(DenseVector< VT2, true > &lhs, const TSVecTDMatMultExpr &rhs)
Subtraction assignment of a transpose sparse vector-transpose dense matrix multiplication to a dense ...
Definition: TSVecTDMatMultExpr.h:459
friend EnableIf< UseAssign< VT2 > >::Type addAssign(DenseVector< VT2, true > &lhs, const TSVecTDMatMultExpr &rhs)
Addition assignment of a transpose sparse vector-transpose dense matrix multiplication to a dense vec...
Definition: TSVecTDMatMultExpr.h:412
Base template for the MultTrait class.
Definition: MultTrait.h:142
MT::CompositeType MCT
Composite type of the right-hand side dense matrix expression.
Definition: TSVecTDMatMultExpr.h:106
Substitution Failure Is Not An Error (SFINAE) class.The EnableIf class template is an auxiliary tool ...
Definition: EnableIf.h:184
Header file for the reset shim.
Constraint on the data type.
Header file for the TVecMatMultExpr base class.
TSVecTDMatMultExpr(const VT &vec, const MT &mat)
Constructor for the TSVecTDMatMultExpr class.
Definition: TSVecTDMatMultExpr.h:192
BLAZE_ALWAYS_INLINE void reset(const NonNumericProxy< MT > &proxy)
Resetting the represented element to the default initial values.
Definition: NonNumericProxy.h:833
bool canSMPAssign() const
Returns whether the expression can be used in SMP assignments.
Definition: TSVecTDMatMultExpr.h:302
Header file for the RemoveReference type trait.
Expression object for transpose sparse vector-transpose dense matrix multiplications.The TSVecTDMatMultExpr class represents the compile time expression for multiplications between transpose sparse vectors and column-major dense matrices.
Definition: Forward.h:149
#define BLAZE_CONSTRAINT_MUST_BE_DENSE_VECTOR_TYPE(T)
Constraint on the data type.In case the given data type T is not a dense, N-dimensional vector type...
Definition: DenseVector.h:79
#define BLAZE_CONSTRAINT_MUST_FORM_VALID_TVECMATMULTEXPR(T1, T2)
Constraint on the data type.In case the given data types T1 and T2 do not form a valid vector/matrix ...
Definition: TVecMatMultExpr.h:166
TSVecTDMatMultExpr< VT, MT > This
Type of this TSVecTDMatMultExpr instance.
Definition: TSVecTDMatMultExpr.h:155
const DMatTransExpr< MT,!SO > trans(const DenseMatrix< MT, SO > &dm)
Calculation of the transpose of the given dense matrix.
Definition: DMatTransExpr.h:932
Header file for the IsComputation type trait class.
friend EnableIf< UseSMPAssign< VT2 > >::Type smpAddAssign(DenseVector< VT2, true > &lhs, const TSVecTDMatMultExpr &rhs)
SMP addition assignment of a transpose sparse vector-transpose dense matrix multiplication to a dense...
Definition: TSVecTDMatMultExpr.h:621
Base class for sparse vectors.The SparseVector class is a base class for all arbitrarily sized (N-dim...
Definition: Forward.h:108
#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:2473
size_t size() const
Returns the current size/dimension of the vector.
Definition: TSVecTDMatMultExpr.h:238
ReturnType operator[](size_t index) const
Subscript operator for the direct access to the vector elements.
Definition: TSVecTDMatMultExpr.h:206
Header file for basic type definitions.
#define BLAZE_CONSTRAINT_MUST_BE_ROW_VECTOR_TYPE(T)
Constraint on the data type.In case the given data type T is not a row dense or sparse vector type (i...
Definition: TransposeFlag.h:81
Header file for the SubvectorExprTrait class template.
Constraint on the data type.
Header file for the Size type trait.
Header file for the thresholds for matrix/vector and matrix/matrix multiplications.
#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
Header file for the IsExpression type trait class.
Header file for the FunctionTrace class.