TDVecTSMatMultExpr.h
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1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_TDVECTSMATMULTEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_TDVECTSMATMULTEXPR_H_
37 
38 
39 //*************************************************************************************************
40 // Includes
41 //*************************************************************************************************
42 
43 #include <stdexcept>
53 #include <blaze/math/shims/Reset.h>
66 #include <blaze/util/Assert.h>
68 #include <blaze/util/DisableIf.h>
69 #include <blaze/util/EnableIf.h>
71 #include <blaze/util/SelectType.h>
72 #include <blaze/util/Types.h>
74 
75 
76 namespace blaze {
77 
78 //=================================================================================================
79 //
80 // CLASS TDVECSMATMULTEXPR
81 //
82 //=================================================================================================
83 
84 //*************************************************************************************************
91 template< typename VT // Type of the left-hand side dense vector
92  , typename MT > // Type of the right-hand side sparse matrix
93 class TDVecTSMatMultExpr : public DenseVector< TDVecTSMatMultExpr<VT,MT>, true >
94  , private TVecMatMultExpr
95  , private Computation
96 {
97  private:
98  //**Type definitions****************************************************************************
99  typedef typename VT::ResultType VRT;
100  typedef typename MT::ResultType MRT;
101  typedef typename VT::CompositeType VCT;
102  typedef typename MT::CompositeType MCT;
103  //**********************************************************************************************
104 
105  //**********************************************************************************************
107  enum { evaluateVector = IsComputation<VT>::value || RequiresEvaluation<VT>::value };
108  //**********************************************************************************************
109 
110  //**********************************************************************************************
112  enum { evaluateMatrix = RequiresEvaluation<MT>::value };
113  //**********************************************************************************************
114 
115  //**********************************************************************************************
117 
123  enum { useAssign = ( evaluateVector || evaluateMatrix ) };
124  //**********************************************************************************************
125 
126  //**********************************************************************************************
128  template< typename VT2 >
130  struct UseAssign {
131  enum { value = useAssign };
132  };
134  //**********************************************************************************************
135 
136  //**********************************************************************************************
138 
142  template< typename T1 >
143  struct UseSMPAssign {
144  enum { value = useAssign };
145  };
147  //**********************************************************************************************
148 
149  public:
150  //**Type definitions****************************************************************************
155  typedef const ElementType ReturnType;
156 
159 
161  typedef typename SelectType< IsExpression<VT>::value, const VT, const VT& >::Type LeftOperand;
162 
164  typedef typename SelectType< IsExpression<MT>::value, const MT, const MT& >::Type RightOperand;
165 
168 
171  //**********************************************************************************************
172 
173  //**Compilation flags***************************************************************************
175  enum { vectorizable = 0 };
176 
178  enum { smpAssignable = !evaluateVector && VT::smpAssignable &&
179  !evaluateMatrix && MT::smpAssignable };
180  //**********************************************************************************************
181 
182  //**Constructor*********************************************************************************
185  explicit inline TDVecTSMatMultExpr( const VT& vec, const MT& mat )
186  : vec_( vec ) // Left-hand side dense vector of the multiplication expression
187  , mat_( mat ) // Right-hand side sparse matrix of the multiplication expression
188  {
189  BLAZE_INTERNAL_ASSERT( vec_.size() == mat.rows(), "Invalid vector and matrix sizes" );
190  }
191  //**********************************************************************************************
192 
193  //**Subscript operator**************************************************************************
199  inline ReturnType operator[]( size_t index ) const {
200  BLAZE_INTERNAL_ASSERT( index < mat_.columns(), "Invalid vector access index" );
201 
203 
204  VCT x( vec_ ); // Evaluation of the left-hand side dense vector operand
205  MCT A( mat_ ); // Evaluation of the right-hand side sparse matrix operand
206 
207  BLAZE_INTERNAL_ASSERT( x.size() == vec_.size() , "Invalid vector size" );
208  BLAZE_INTERNAL_ASSERT( A.rows() == mat_.rows() , "Invalid number of rows" );
209  BLAZE_INTERNAL_ASSERT( A.columns() == mat_.columns(), "Invalid number of columns" );
210 
211  const ConstIterator end( A.end(index) );
212  ConstIterator element( A.begin(index) );
213  ElementType res;
214 
215  if( element != end ) {
216  res = x[element->index()] * element->value();
217  ++element;
218  for( ; element!=end; ++element )
219  res += x[element->index()] * element->value();
220  }
221  else {
222  reset( res );
223  }
224 
225  return res;
226  }
227  //**********************************************************************************************
228 
229  //**Size function*******************************************************************************
234  inline size_t size() const {
235  return mat_.columns();
236  }
237  //**********************************************************************************************
238 
239  //**Left operand access*************************************************************************
244  inline LeftOperand leftOperand() const {
245  return vec_;
246  }
247  //**********************************************************************************************
248 
249  //**Right operand access************************************************************************
254  inline RightOperand rightOperand() const {
255  return mat_;
256  }
257  //**********************************************************************************************
258 
259  //**********************************************************************************************
265  template< typename T >
266  inline bool canAlias( const T* alias ) const {
267  return ( vec_.isAliased( alias ) || mat_.isAliased( alias ) );
268  }
269  //**********************************************************************************************
270 
271  //**********************************************************************************************
277  template< typename T >
278  inline bool isAliased( const T* alias ) const {
279  return ( vec_.isAliased( alias ) || mat_.isAliased( alias ) );
280  }
281  //**********************************************************************************************
282 
283  //**********************************************************************************************
288  inline bool isAligned() const {
289  return vec_.isAligned();
290  }
291  //**********************************************************************************************
292 
293  //**********************************************************************************************
298  inline bool canSMPAssign() const {
299  return ( size() > SMP_TDVECTSMATMULT_THRESHOLD );
300  }
301  //**********************************************************************************************
302 
303  private:
304  //**Member variables****************************************************************************
305  LeftOperand vec_;
306  RightOperand mat_;
307  //**********************************************************************************************
308 
309  //**Assignment to dense vectors*****************************************************************
324  template< typename VT2 > // Type of the target dense vector
325  friend inline typename EnableIf< UseAssign<VT2> >::Type
327  {
329 
330  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
331 
333 
334  if( rhs.mat_.rows() == 0UL ) {
335  reset( ~lhs );
336  return;
337  }
338 
339  LT x( serial( rhs.vec_ ) ); // Evaluation of the left-hand side dense vector operator
340  RT A( serial( rhs.mat_ ) ); // Evaluation of the right-hand side sparse matrix operator
341 
342  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
343  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
344  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
345  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
346 
347  assign( ~lhs, x * A );
348  }
349  //**********************************************************************************************
350 
351  //**Assignment to sparse vectors****************************************************************
366  template< typename VT2 > // Type of the target sparse vector
367  friend inline typename EnableIf< UseAssign<VT2> >::Type
369  {
371 
375 
376  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
377 
378  const ResultType tmp( serial( rhs ) );
379  assign( ~lhs, tmp );
380  }
381  //**********************************************************************************************
382 
383  //**Addition assignment to dense vectors********************************************************
398  template< typename VT2 > // Type of the target dense vector
399  friend inline typename EnableIf< UseAssign<VT2> >::Type
401  {
403 
404  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
405 
407 
408  if( rhs.mat_.rows() == 0UL ) {
409  return;
410  }
411 
412  LT x( serial( rhs.vec_ ) ); // Evaluation of the left-hand side dense vector operator
413  RT A( serial( rhs.mat_ ) ); // Evaluation of the right-hand side sparse matrix operator
414 
415  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
416  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
417  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
418  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
419 
420  addAssign( ~lhs, x * A );
421  }
422  //**********************************************************************************************
423 
424  //**Addition assignment to sparse vectors*******************************************************
425  // No special implementation for the addition assignment to sparse vectors.
426  //**********************************************************************************************
427 
428  //**Subtraction assignment to dense vectors*****************************************************
443  template< typename VT2 > // Type of the target dense vector
444  friend inline typename EnableIf< UseAssign<VT2> >::Type
446  {
448 
449  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
450 
452 
453  if( rhs.mat_.rows() == 0UL ) {
454  return;
455  }
456 
457  LT x( serial( rhs.vec_ ) ); // Evaluation of the left-hand side dense vector operator
458  RT A( serial( rhs.mat_ ) ); // Evaluation of the right-hand side sparse matrix operator
459 
460  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
461  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
462  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
463  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
464 
465  subAssign( ~lhs, x * A );
466  }
467  //**********************************************************************************************
468 
469  //**Subtraction assignment to sparse vectors****************************************************
470  // No special implementation for the subtraction assignment to sparse vectors.
471  //**********************************************************************************************
472 
473  //**Multiplication assignment to dense vectors**************************************************
488  template< typename VT2 > // Type of the target dense vector
489  friend inline typename EnableIf< UseAssign<VT2> >::Type
491  {
493 
497 
498  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
499 
500  const ResultType tmp( serial( rhs ) );
501  multAssign( ~lhs, tmp );
502  }
503  //**********************************************************************************************
504 
505  //**Multiplication assignment to sparse vectors*************************************************
506  // No special implementation for the multiplication assignment to sparse vectors.
507  //**********************************************************************************************
508 
509  //**SMP assignment to dense vectors*************************************************************
523  template< typename VT2 > // Type of the target dense vector
524  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
526  {
528 
529  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
530 
532 
533  if( rhs.mat_.rows() == 0UL ) {
534  reset( ~lhs );
535  return;
536  }
537 
538  LT x( rhs.vec_ ); // Evaluation of the left-hand side dense vector operator
539  RT A( rhs.mat_ ); // Evaluation of the right-hand side sparse matrix operator
540 
541  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
542  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
543  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
544  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
545 
546  smpAssign( ~lhs, x * A );
547  }
548  //**********************************************************************************************
549 
550  //**SMP assignment to sparse vectors************************************************************
564  template< typename VT2 > // Type of the target sparse vector
565  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
567  {
569 
573 
574  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
575 
576  const ResultType tmp( rhs );
577  smpAssign( ~lhs, tmp );
578  }
579  //**********************************************************************************************
580 
581  //**SMP addition assignment to dense vectors****************************************************
595  template< typename VT2 > // Type of the target dense vector
596  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
598  {
600 
601  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
602 
604 
605  if( rhs.mat_.rows() == 0UL ) {
606  return;
607  }
608 
609  LT x( rhs.vec_ ); // Evaluation of the left-hand side dense vector operator
610  RT A( rhs.mat_ ); // Evaluation of the right-hand side sparse matrix operator
611 
612  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
613  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
614  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
615  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
616 
617  smpAddAssign( ~lhs, x * A );
618  }
619  //**********************************************************************************************
620 
621  //**SMP addition assignment to sparse vectors***************************************************
622  // No special implementation for the SMP addition assignment to sparse vectors.
623  //**********************************************************************************************
624 
625  //**SMP subtraction assignment to dense vectors*************************************************
639  template< typename VT2 > // Type of the target dense vector
640  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
642  {
644 
645  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
646 
648 
649  if( rhs.mat_.rows() == 0UL ) {
650  return;
651  }
652 
653  LT x( rhs.vec_ ); // Evaluation of the left-hand side dense vector operator
654  RT A( rhs.mat_ ); // Evaluation of the right-hand side sparse matrix operator
655 
656  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
657  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
658  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
659  BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).size() , "Invalid vector size" );
660 
661  smpSubAssign( ~lhs, x * A );
662  }
663  //**********************************************************************************************
664 
665  //**SMP subtraction assignment to sparse vectors************************************************
666  // No special implementation for the SMP subtraction assignment to sparse vectors.
667  //**********************************************************************************************
668 
669  //**SMP multiplication assignment to dense vectors**********************************************
683  template< typename VT2 > // Type of the target dense vector
684  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
686  {
688 
692 
693  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
694 
695  const ResultType tmp( rhs );
696  smpMultAssign( ~lhs, tmp );
697  }
698  //**********************************************************************************************
699 
700  //**SMP multiplication assignment to sparse vectors*********************************************
701  // No special implementation for the SMP multiplication assignment to sparse vectors.
702  //**********************************************************************************************
703 
704  //**Compile time checks*************************************************************************
712  //**********************************************************************************************
713 };
714 //*************************************************************************************************
715 
716 
717 
718 
719 //=================================================================================================
720 //
721 // GLOBAL BINARY ARITHMETIC OPERATORS
722 //
723 //=================================================================================================
724 
725 //*************************************************************************************************
756 template< typename T1 // Type of the left-hand side dense vector
757  , typename T2 > // Type of the right-hand side sparse matrix
758 inline const typename DisableIf< IsMatMatMultExpr<T2>, TDVecTSMatMultExpr<T1,T2> >::Type
760 {
762 
763  if( (~vec).size() != (~mat).rows() )
764  throw std::invalid_argument( "Vector and matrix sizes do not match" );
765 
766  return TDVecTSMatMultExpr<T1,T2>( ~vec, ~mat );
767 }
768 //*************************************************************************************************
769 
770 
771 
772 
773 //=================================================================================================
774 //
775 // SIZE SPECIALIZATIONS
776 //
777 //=================================================================================================
778 
779 //*************************************************************************************************
781 template< typename MT, typename VT >
782 struct Size< TDVecTSMatMultExpr<MT,VT> >
783  : public Columns<MT>
784 {};
786 //*************************************************************************************************
787 
788 
789 
790 
791 //=================================================================================================
792 //
793 // EXPRESSION TRAIT SPECIALIZATIONS
794 //
795 //=================================================================================================
796 
797 //*************************************************************************************************
799 template< typename VT, typename MT, bool AF >
800 struct SubvectorExprTrait< TDVecTSMatMultExpr<VT,MT>, AF >
801 {
802  public:
803  //**********************************************************************************************
804  typedef typename MultExprTrait< typename SubvectorExprTrait<const VT,AF>::Type
805  , typename SubmatrixExprTrait<const MT,AF>::Type >::Type Type;
806  //**********************************************************************************************
807 };
809 //*************************************************************************************************
810 
811 } // namespace blaze
812 
813 #endif
SelectType< evaluateVector, const VRT, VCT >::Type LT
Composite type of the left-hand side dense vector expression.
Definition: TDVecTSMatMultExpr.h:167
Compile time check whether the given type is a computational expression template.This type trait clas...
Definition: IsComputation.h:89
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:8247
Header file for basic type definitions.
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:209
const ElementType ReturnType
Return type for expression template evaluations.
Definition: TDVecTSMatMultExpr.h:155
Expression object for transpose dense vector-transpose sparse matrix multiplications.The TDVecTSMatMultExpr class represents the compile time expression for multiplications between transpose dense vectors and column-major sparse matrices.
Definition: Forward.h:136
void reset(const DiagonalProxy< MT > &proxy)
Resetting the represented element to the default initial values.
Definition: DiagonalProxy.h:821
RightOperand mat_
Right-hand side sparse matrix of the multiplication expression.
Definition: TDVecTSMatMultExpr.h:306
const This & CompositeType
Data type for composite expression templates.
Definition: CompressedMatrix.h:2507
Type ElementType
Type of the sparse matrix elements.
Definition: CompressedMatrix.h:261
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.
TDVecTSMatMultExpr< VT, MT > This
Type of this TDVecTSMatMultExpr instance.
Definition: TDVecTSMatMultExpr.h:151
friend EnableIf< UseSMPAssign< VT2 > >::Type smpAssign(SparseVector< VT2, true > &lhs, const TDVecTSMatMultExpr &rhs)
SMP assignment of a transpose dense vector-transpose sparse matrix multiplication to a sparse vector ...
Definition: TDVecTSMatMultExpr.h:566
const DMatSerialExpr< MT, SO > serial(const DenseMatrix< MT, SO > &dm)
Forces the serial evaluation of the given dense matrix expression dm.
Definition: DMatSerialExpr.h:699
Header file for the Computation base class.
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: TDVecTSMatMultExpr.h:266
Header file for the RequiresEvaluation type trait.
VT::ResultType VRT
Result type of the left-hand side dense vector expression.
Definition: TDVecTSMatMultExpr.h:99
Base class for sparse matrices.The SparseMatrix class is a base class for all sparse matrix classes...
Definition: Forward.h:107
Constraint on the data type.
ReturnType operator[](size_t index) const
Subscript operator for the direct access to the vector elements.
Definition: TDVecTSMatMultExpr.h:199
MT::ResultType MRT
Result type of the right-hand side sparse matrix expression.
Definition: TDVecTSMatMultExpr.h:100
friend EnableIf< UseAssign< VT2 > >::Type addAssign(DenseVector< VT2, true > &lhs, const TDVecTSMatMultExpr &rhs)
Addition assignment of a transpose dense vector-transpose sparse matrix multiplication to a dense vec...
Definition: TDVecTSMatMultExpr.h:400
Constraint on the data type.
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
friend EnableIf< UseSMPAssign< VT2 > >::Type smpMultAssign(DenseVector< VT2, true > &lhs, const TDVecTSMatMultExpr &rhs)
SMP multiplication assignment of a transpose dense vector-transpose sparse matrix multiplication to a...
Definition: TDVecTSMatMultExpr.h:685
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.
bool canSMPAssign() const
Returns whether the expression can be used in SMP assignments.
Definition: TDVecTSMatMultExpr.h:298
Namespace of the Blaze C++ math library.
Definition: Blaze.h:57
friend EnableIf< UseSMPAssign< VT2 > >::Type smpAssign(DenseVector< VT2, true > &lhs, const TDVecTSMatMultExpr &rhs)
SMP assignment of a transpose dense vector-transpose sparse matrix multiplication to a dense vector (...
Definition: TDVecTSMatMultExpr.h:525
#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
LeftOperand leftOperand() const
Returns the left-hand side dense vector operand.
Definition: TDVecTSMatMultExpr.h:244
size_t size() const
Returns the current size/dimension of the vector.
Definition: TDVecTSMatMultExpr.h:234
const Element * ConstIterator
Iterator over constant elements.
Definition: CompressedMatrix.h:2511
Header file for the IsMatMatMultExpr type trait class.
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: TDVecTSMatMultExpr.h:278
Header file for the Columns type trait.
bool isAligned() const
Returns whether the operands of the expression are properly aligned in memory.
Definition: TDVecTSMatMultExpr.h:288
friend EnableIf< UseAssign< VT2 > >::Type assign(DenseVector< VT2, true > &lhs, const TDVecTSMatMultExpr &rhs)
Assignment of a transpose dense vector-transpose sparse matrix multiplication to a dense vector ( )...
Definition: TDVecTSMatMultExpr.h:326
Base class for N-dimensional dense vectors.The DenseVector class is a base class for all arbitrarily ...
Definition: DenseVector.h:70
LeftOperand vec_
Left-hand side dense vector of the multiplication expression.
Definition: TDVecTSMatMultExpr.h:305
Constraint on the data type.
RightOperand rightOperand() const
Returns the right-hand side transpose sparse matrix operand.
Definition: TDVecTSMatMultExpr.h:254
#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
SelectType< IsExpression< VT >::value, const VT, const VT & >::Type LeftOperand
Composite type of the left-hand side dense vector expression.
Definition: TDVecTSMatMultExpr.h:161
Constraints on the storage order of matrix types.
friend EnableIf< UseSMPAssign< VT2 > >::Type smpSubAssign(DenseVector< VT2, true > &lhs, const TDVecTSMatMultExpr &rhs)
SMP subtraction assignment of a transpose dense vector-transpose sparse matrix multiplication to a de...
Definition: TDVecTSMatMultExpr.h:641
Constraint on the data type.
Header file for the SelectType class template.
Header file for all forward declarations for expression class templates.
ResultType::ElementType ElementType
Resulting element type.
Definition: TDVecTSMatMultExpr.h:154
Header file for the EnableIf class template.
Header file for the serial shim.
friend EnableIf< UseAssign< VT2 > >::Type assign(SparseVector< VT2, true > &lhs, const TDVecTSMatMultExpr &rhs)
Assignment of a transpose dense vector-transpose sparse matrix multiplication to a sparse vector ( )...
Definition: TDVecTSMatMultExpr.h:368
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: TDVecTSMatMultExpr.h:153
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.
Base template for the MultTrait class.
Definition: MultTrait.h:150
const size_t SMP_TDVECTSMATMULT_THRESHOLD
SMP dense vector/column-major sparse matrix multiplication threshold.This threshold specifies when a ...
Definition: Thresholds.h:575
friend EnableIf< UseAssign< VT2 > >::Type multAssign(DenseVector< VT2, true > &lhs, const TDVecTSMatMultExpr &rhs)
Multiplication assignment of a transpose dense vector-transpose sparse matrix multiplication to a den...
Definition: TDVecTSMatMultExpr.h:490
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.
friend EnableIf< UseSMPAssign< VT2 > >::Type smpAddAssign(DenseVector< VT2, true > &lhs, const TDVecTSMatMultExpr &rhs)
SMP addition assignment of a transpose dense vector-transpose sparse matrix multiplication to a dense...
Definition: TDVecTSMatMultExpr.h:597
Header file for the TVecMatMultExpr base class.
MT::CompositeType MCT
Composite type of the right-hand side sparse matrix expression.
Definition: TDVecTSMatMultExpr.h:102
Header file for the RemoveReference type trait.
SelectType< IsExpression< MT >::value, const MT, const MT & >::Type RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: TDVecTSMatMultExpr.h:164
TDVecTSMatMultExpr(const VT &vec, const MT &mat)
Constructor for the TDVecTSMatMultExpr class.
Definition: TDVecTSMatMultExpr.h:185
#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
MultTrait< VRT, MRT >::Type ResultType
Result type for expression template evaluations.
Definition: TDVecTSMatMultExpr.h:152
Header file for the IsComputation type trait class.
SelectType< useAssign, const ResultType, const TDVecTSMatMultExpr & >::Type CompositeType
Data type for composite expression templates.
Definition: TDVecTSMatMultExpr.h:158
Base class for sparse vectors.The SparseVector class is a base class for all arbitrarily sized (N-dim...
Definition: Forward.h:108
VT::CompositeType VCT
Composite type of the left-hand side dense vector expression.
Definition: TDVecTSMatMultExpr.h:101
#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:2502
#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.
SelectType< evaluateMatrix, const MRT, MCT >::Type RT
Composite type of the right-hand side sparse matrix expression.
Definition: TDVecTSMatMultExpr.h:170
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
#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.
friend EnableIf< UseAssign< VT2 > >::Type subAssign(DenseVector< VT2, true > &lhs, const TDVecTSMatMultExpr &rhs)
Subtraction assignment of a transpose dense vector-transpose sparse matrix multiplication to a dense ...
Definition: TDVecTSMatMultExpr.h:445
Header file for the FunctionTrace class.