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SMatDVecMultExpr.h
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1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_SMATDVECMULTEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_SMATDVECMULTEXPR_H_
37 
38 
39 //*************************************************************************************************
40 // Includes
41 //*************************************************************************************************
42 
43 #include <stdexcept>
52 #include <blaze/math/shims/Reset.h>
63 #include <blaze/util/Assert.h>
65 #include <blaze/util/DisableIf.h>
66 #include <blaze/util/EnableIf.h>
68 #include <blaze/util/SelectType.h>
69 #include <blaze/util/Types.h>
71 
72 
73 namespace blaze {
74 
75 //=================================================================================================
76 //
77 // CLASS SMATDVECMULTEXPR
78 //
79 //=================================================================================================
80 
81 //*************************************************************************************************
88 template< typename MT // Type of the left-hand side sparse matrix
89  , typename VT > // Type of the right-hand side dense vector
90 class SMatDVecMultExpr : public DenseVector< SMatDVecMultExpr<MT,VT>, false >
91  , private MatVecMultExpr
92  , private Computation
93 {
94  private:
95  //**Type definitions****************************************************************************
96  typedef typename MT::ResultType MRT;
97  typedef typename VT::ResultType VRT;
98  typedef typename MT::CompositeType MCT;
99  typedef typename VT::CompositeType VCT;
100  //**********************************************************************************************
101 
102  //**********************************************************************************************
104  enum { evaluateMatrix = RequiresEvaluation<MT>::value };
105  //**********************************************************************************************
106 
107  //**********************************************************************************************
109  enum { evaluateVector = IsComputation<VT>::value || RequiresEvaluation<VT>::value };
110  //**********************************************************************************************
111 
112  //**********************************************************************************************
114 
120  enum { useAssign = evaluateMatrix || evaluateVector };
121  //**********************************************************************************************
122 
123  //**********************************************************************************************
125  template< typename VT2 >
127  struct UseAssign {
128  enum { value = useAssign };
129  };
131  //**********************************************************************************************
132 
133  //**********************************************************************************************
135 
139  template< typename T1 >
140  struct UseSMPAssign {
141  enum { value = useAssign };
142  };
144  //**********************************************************************************************
145 
146  public:
147  //**Type definitions****************************************************************************
152  typedef const ElementType ReturnType;
153 
156 
158  typedef typename SelectType< IsExpression<MT>::value, const MT, const MT& >::Type LeftOperand;
159 
161  typedef typename SelectType< IsExpression<VT>::value, const VT, const VT& >::Type RightOperand;
162 
165 
168  //**********************************************************************************************
169 
170  //**Compilation flags***************************************************************************
172  enum { vectorizable = 0 };
173 
175  enum { smpAssignable = !evaluateMatrix && MT::smpAssignable &&
176  !evaluateVector && VT::smpAssignable };
177  //**********************************************************************************************
178 
179  //**Constructor*********************************************************************************
185  explicit inline SMatDVecMultExpr( const MT& mat, const VT& vec )
186  : mat_( mat ) // Left-hand side sparse matrix of the multiplication expression
187  , vec_( vec ) // Right-hand side dense vector of the multiplication expression
188  {
189  BLAZE_INTERNAL_ASSERT( mat_.columns() == vec_.size(), "Invalid matrix and vector sizes" );
190  }
191  //**********************************************************************************************
192 
193  //**Subscript operator**************************************************************************
199  inline ReturnType operator[]( size_t index ) const {
200  BLAZE_INTERNAL_ASSERT( index < mat_.rows(), "Invalid vector access index" );
201 
203 
204  ElementType tmp = ElementType();
205 
206  // Early exit
207  if( mat_.columns() == 0UL )
208  return tmp;
209 
210  // Fast computation in case the left-hand side sparse matrix directly provides iterators
212  {
213  MCT A( mat_ ); // Evaluation of the left-hand side sparse matrix operand
214 
215  const ConstIterator end( A.end(index) );
216  ConstIterator element( A.begin(index) );
217 
218  // Early exit in case row 'index' is empty
219  if( element == end )
220  return tmp;
221 
222  // Calculating element 'index' for numeric data types
224  {
225  const size_t last( A.nonZeros(index) & size_t(-2) );
226  ElementType tmp2 = ElementType();
227 
228  for( size_t i=0UL; i<last; i+=2UL )
229  {
230  const ElementType value1( element->value() );
231  const size_t index1( element->index() );
232  ++element;
233  const ElementType value2( element->value() );
234  const size_t index2( element->index() );
235  ++element;
236 
237  tmp += value1 * vec_[index1];
238  tmp2 += value2 * vec_[index2];
239  }
240  if( element!=end ) {
241  tmp += element->value() * vec_[element->index()];
242  }
243 
244  tmp += tmp2;
245  }
246 
247  // Calculating element 'index' for non-numeric data types
248  else {
249  tmp = element->value() * vec_[element->index()];
250  ++element;
251  for( ; element!=end; ++element )
252  tmp += element->value() * vec_[element->index()];
253  }
254  }
255 
256  // Default computation in case the left-hand side sparse matrix doesn't provide iterators
257  else {
258  tmp = mat_(index,0UL) * vec_[0UL];
259  for( size_t k=1UL; k<mat_.columns(); ++k ) {
260  tmp += mat_(index,k) * vec_[k];
261  }
262  }
263 
264  return tmp;
265  }
266  //**********************************************************************************************
267 
268  //**Size function*******************************************************************************
273  inline size_t size() const {
274  return mat_.rows();
275  }
276  //**********************************************************************************************
277 
278  //**Left operand access*************************************************************************
283  inline LeftOperand leftOperand() const {
284  return mat_;
285  }
286  //**********************************************************************************************
287 
288  //**Right operand access************************************************************************
293  inline RightOperand rightOperand() const {
294  return vec_;
295  }
296  //**********************************************************************************************
297 
298  //**********************************************************************************************
304  template< typename T >
305  inline bool canAlias( const T* alias ) const {
306  return ( mat_.isAliased( alias ) || vec_.isAliased( alias ) );
307  }
308  //**********************************************************************************************
309 
310  //**********************************************************************************************
316  template< typename T >
317  inline bool isAliased( const T* alias ) const {
318  return ( mat_.isAliased( alias ) || vec_.isAliased( alias ) );
319  }
320  //**********************************************************************************************
321 
322  //**********************************************************************************************
327  inline bool isAligned() const {
328  return vec_.isAligned();
329  }
330  //**********************************************************************************************
331 
332  //**********************************************************************************************
337  inline bool canSMPAssign() const {
338  return ( size() > SMP_SMATDVECMULT_THRESHOLD );
339  }
340  //**********************************************************************************************
341 
342  private:
343  //**Member variables****************************************************************************
346  //**********************************************************************************************
347 
348  //**Assignment to dense vectors*****************************************************************
364  template< typename VT1 > // Type of the target dense vector
365  friend inline typename EnableIf< UseAssign<VT1> >::Type
367  {
369 
370  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
371 
373 
374  if( rhs.mat_.columns() == 0UL ) {
375  reset( ~lhs );
376  return;
377  }
378 
379  LT A( serial( rhs.mat_ ) ); // Evaluation of the left-hand side sparse matrix operand
380  RT x( serial( rhs.vec_ ) ); // Evaluation of the right-hand side dense vector operand
381 
382  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
383  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
384  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
385  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
386 
387  assign( ~lhs, A * x );
388  }
390  //**********************************************************************************************
391 
392  //**Assignment to sparse vectors****************************************************************
408  template< typename VT1 > // Type of the target sparse vector
409  friend inline typename EnableIf< UseAssign<VT1> >::Type
411  {
413 
417 
418  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
419 
420  const ResultType tmp( serial( rhs ) );
421  assign( ~lhs, tmp );
422  }
424  //**********************************************************************************************
425 
426  //**Addition assignment to dense vectors********************************************************
442  template< typename VT1 > // Type of the target dense vector
443  friend inline typename EnableIf< UseAssign<VT1> >::Type
444  addAssign( DenseVector<VT1,false>& lhs, const SMatDVecMultExpr& rhs )
445  {
447 
448  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
449 
451 
452  if( rhs.mat_.columns() == 0UL ) {
453  return;
454  }
455 
456  LT A( serial( rhs.mat_ ) ); // Evaluation of the left-hand side sparse matrix operand
457  RT x( serial( rhs.vec_ ) ); // Evaluation of the right-hand side dense vector operand
458 
459  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
460  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
461  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
462  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
463 
464  addAssign( ~lhs, A * x );
465  }
467  //**********************************************************************************************
468 
469  //**Addition assignment to sparse vectors*******************************************************
470  // No special implementation for the addition assignment to sparse vectors.
471  //**********************************************************************************************
472 
473  //**Subtraction assignment to dense vectors*****************************************************
489  template< typename VT1 > // Type of the target dense vector
490  friend inline typename EnableIf< UseAssign<VT1> >::Type
491  subAssign( DenseVector<VT1,false>& lhs, const SMatDVecMultExpr& rhs )
492  {
494 
495  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
496 
498 
499  if( rhs.mat_.columns() == 0UL ) {
500  return;
501  }
502 
503  LT A( serial( rhs.mat_ ) ); // Evaluation of the left-hand side sparse matrix operand
504  RT x( serial( rhs.vec_ ) ); // Evaluation of the right-hand side dense vector operand
505 
506  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
507  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
508  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
509  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
510 
511  subAssign( ~lhs, A * x );
512  }
514  //**********************************************************************************************
515 
516  //**Subtraction assignment to sparse vectors****************************************************
517  // No special implementation for the subtraction assignment to sparse vectors.
518  //**********************************************************************************************
519 
520  //**Multiplication assignment to dense vectors**************************************************
536  template< typename VT1 > // Type of the target dense vector
537  friend inline typename EnableIf< UseAssign<VT1> >::Type
538  multAssign( DenseVector<VT1,false>& lhs, const SMatDVecMultExpr& rhs )
539  {
541 
545 
546  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
547 
548  const ResultType tmp( serial( rhs ) );
549  multAssign( ~lhs, tmp );
550  }
552  //**********************************************************************************************
553 
554  //**Multiplication assignment to sparse vectors*************************************************
555  // No special implementation for the multiplication assignment to sparse vectors.
556  //**********************************************************************************************
557 
558  //**SMP assignment to dense vectors*************************************************************
573  template< typename VT1 > // Type of the target dense vector
574  friend inline typename EnableIf< UseSMPAssign<VT1> >::Type
575  smpAssign( DenseVector<VT1,false>& lhs, const SMatDVecMultExpr& rhs )
576  {
578 
579  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
580 
582 
583  if( rhs.mat_.columns() == 0UL ) {
584  reset( ~lhs );
585  return;
586  }
587 
588  LT A( rhs.mat_ ); // Evaluation of the left-hand side sparse matrix operand
589  RT x( rhs.vec_ ); // Evaluation of the right-hand side dense vector operand
590 
591  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
592  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
593  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
594  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
595 
596  smpAssign( ~lhs, A * x );
597  }
599  //**********************************************************************************************
600 
601  //**SMP assignment to sparse vectors************************************************************
616  template< typename VT1 > // Type of the target sparse vector
617  friend inline typename EnableIf< UseSMPAssign<VT1> >::Type
618  smpAssign( SparseVector<VT1,false>& lhs, const SMatDVecMultExpr& rhs )
619  {
621 
625 
626  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
627 
628  const ResultType tmp( rhs );
629  smpAssign( ~lhs, tmp );
630  }
632  //**********************************************************************************************
633 
634  //**SMP addition assignment to dense vectors****************************************************
649  template< typename VT1 > // Type of the target dense vector
650  friend inline typename EnableIf< UseSMPAssign<VT1> >::Type
651  smpAddAssign( DenseVector<VT1,false>& lhs, const SMatDVecMultExpr& rhs )
652  {
654 
655  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
656 
658 
659  if( rhs.mat_.columns() == 0UL ) {
660  return;
661  }
662 
663  LT A( rhs.mat_ ); // Evaluation of the left-hand side sparse matrix operand
664  RT x( rhs.vec_ ); // Evaluation of the right-hand side dense vector operand
665 
666  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
667  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
668  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
669  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
670 
671  smpAddAssign( ~lhs, A * x );
672  }
674  //**********************************************************************************************
675 
676  //**SMP addition assignment to sparse vectors***************************************************
677  // No special implementation for the SMP addition assignment to sparse vectors.
678  //**********************************************************************************************
679 
680  //**SMP subtraction assignment to dense vectors*************************************************
695  template< typename VT1 > // Type of the target dense vector
696  friend inline typename EnableIf< UseSMPAssign<VT1> >::Type
697  smpSubAssign( DenseVector<VT1,false>& lhs, const SMatDVecMultExpr& rhs )
698  {
700 
701  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
702 
704 
705  if( rhs.mat_.columns() == 0UL ) {
706  return;
707  }
708 
709  LT A( rhs.mat_ ); // Evaluation of the left-hand side sparse matrix operand
710  RT x( rhs.vec_ ); // Evaluation of the right-hand side dense vector operand
711 
712  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
713  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
714  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
715  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
716 
717  smpSubAssign( ~lhs, A * x );
718  }
720  //**********************************************************************************************
721 
722  //**SMP subtraction assignment to sparse vectors************************************************
723  // No special implementation for the SMP subtraction assignment to sparse vectors.
724  //**********************************************************************************************
725 
726  //**SMP multiplication assignment to dense vectors**********************************************
741  template< typename VT1 > // Type of the target dense vector
742  friend inline typename EnableIf< UseSMPAssign<VT1> >::Type
743  smpMultAssign( DenseVector<VT1,false>& lhs, const SMatDVecMultExpr& rhs )
744  {
746 
750 
751  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
752 
753  const ResultType tmp( rhs );
754  smpMultAssign( ~lhs, tmp );
755  }
757  //**********************************************************************************************
758 
759  //**SMP multiplication assignment to sparse vectors*********************************************
760  // No special implementation for the SMP multiplication assignment to sparse vectors.
761  //**********************************************************************************************
762 
763  //**Compile time checks*************************************************************************
770  //**********************************************************************************************
771 };
772 //*************************************************************************************************
773 
774 
775 
776 
777 //=================================================================================================
778 //
779 // GLOBAL BINARY ARITHMETIC OPERATORS
780 //
781 //=================================================================================================
782 
783 //*************************************************************************************************
814 template< typename T1 // Type of the left-hand side sparse matrix
815  , typename T2 > // Type of the right-hand side dense vector
816 inline const typename DisableIf< IsMatMatMultExpr<T1>, SMatDVecMultExpr<T1,T2> >::Type
818 {
820 
821  if( (~mat).columns() != (~vec).size() )
822  throw std::invalid_argument( "Matrix and vector sizes do not match" );
823 
824  return SMatDVecMultExpr<T1,T2>( ~mat, ~vec );
825 }
826 //*************************************************************************************************
827 
828 
829 
830 
831 //=================================================================================================
832 //
833 // GLOBAL RESTRUCTURING BINARY ARITHMETIC OPERATORS
834 //
835 //=================================================================================================
836 
837 //*************************************************************************************************
850 template< typename T1 // Type of the left-hand side sparse matrix
851  , bool SO // Storage order of the left-hand side sparse matrix
852  , typename T2 > // Type of the right-hand side dense vector
853 inline const typename EnableIf< IsMatMatMultExpr<T1>, MultExprTrait<T1,T2> >::Type::Type
855 {
857 
858  return (~mat).leftOperand() * ( (~mat).rightOperand() * vec );
859 }
860 //*************************************************************************************************
861 
862 
863 
864 
865 //=================================================================================================
866 //
867 // EXPRESSION TRAIT SPECIALIZATIONS
868 //
869 //=================================================================================================
870 
871 //*************************************************************************************************
873 template< typename MT, typename VT, bool AF >
874 struct SubvectorExprTrait< SMatDVecMultExpr<MT,VT>, AF >
875 {
876  public:
877  //**********************************************************************************************
878  typedef typename MultExprTrait< typename SubmatrixExprTrait<const MT,AF>::Type, VT >::Type Type;
879  //**********************************************************************************************
880 };
882 //*************************************************************************************************
883 
884 } // namespace blaze
885 
886 #endif
Compile time check whether the given type is a computational expression template.This type trait clas...
Definition: IsComputation.h:89
Compile time check for numeric types.This type trait tests whether or not the given template paramete...
Definition: IsNumeric.h:98
MT::ResultType MRT
Result type of the left-hand side sparse matrix expression.
Definition: SMatDVecMultExpr.h:96
void reset(DynamicMatrix< Type, SO > &m)
Resetting the given dense matrix.
Definition: DynamicMatrix.h:4599
const size_t SMP_SMATDVECMULT_THRESHOLD
SMP row-major sparse matrix/dense vector multiplication threshold.This threshold specifies when a row...
Definition: Thresholds.h:506
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:4329
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: SMatDVecMultExpr.h:150
VT::CompositeType VCT
Composite type of the right-hand side dense vector expression.
Definition: SMatDVecMultExpr.h:99
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:152
#define BLAZE_CONSTRAINT_MUST_BE_COLUMN_VECTOR_TYPE(T)
Constraint on the data type.In case the given data type T is not a column dense or sparse vector type...
Definition: TransposeFlag.h:159
Efficient implementation of a compressed matrix.The CompressedMatrix class template is the represent...
Definition: CompressedMatrix.h:199
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: SMatDVecMultExpr.h:317
void smpMultAssign(DenseVector< VT1, TF1 > &lhs, const Vector< VT2, TF2 > &rhs)
Default implementation of the SMP multiplication assignment of a vector to a dense vector...
Definition: DenseVector.h:179
Expression object for sparse matrix-dense vector multiplications.The SMatDVecMultExpr class represent...
Definition: Forward.h:91
RightOperand rightOperand() const
Returns the right-hand side dense vector operand.
Definition: SMatDVecMultExpr.h:293
const This & CompositeType
Data type for composite expression templates.
Definition: CompressedMatrix.h:2408
Type ElementType
Type of the sparse matrix elements.
Definition: CompressedMatrix.h:251
Header file for the DenseVector base class.
SelectType< useAssign, const ResultType, const SMatDVecMultExpr & >::Type CompositeType
Data type for composite expression templates.
Definition: SMatDVecMultExpr.h:155
LeftOperand leftOperand() const
Returns the left-hand side sparse matrix operand.
Definition: SMatDVecMultExpr.h:283
const DMatSerialExpr< MT, SO > serial(const DenseMatrix< MT, SO > &dm)
Forces the serial evaluation of the given dense matrix expression dm.
Definition: DMatSerialExpr.h:690
Header file for the Computation base class.
MultTrait< MRT, VRT >::Type ResultType
Result type for expression template evaluations.
Definition: SMatDVecMultExpr.h:149
Header file for the RequiresEvaluation type trait.
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.
RightOperand vec_
Right-hand side dense vector of the multiplication expression.
Definition: SMatDVecMultExpr.h:345
VT::ResultType VRT
Result type of the right-hand side dense vector expression.
Definition: SMatDVecMultExpr.h:97
Constraint on the data type.
Header file for the MultExprTrait class template.
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:122
Compile time check to query the requirement to evaluate an expression.Via this type trait it is possi...
Definition: RequiresEvaluation.h:90
const This & CompositeType
Data type for composite expression templates.
Definition: CompressedMatrix.h:253
LeftOperand mat_
Left-hand side sparse matrix of the multiplication expression.
Definition: SMatDVecMultExpr.h:344
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.
const Element * ConstIterator
Iterator over constant elements.
Definition: CompressedMatrix.h:2412
Header file for the IsMatMatMultExpr type trait class.
SelectType< IsExpression< MT >::value, const MT, const MT & >::Type LeftOperand
Composite type of the left-hand side sparse matrix expression.
Definition: SMatDVecMultExpr.h:158
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:271
Base class for N-dimensional dense vectors.The DenseVector class is a base class for all arbitrarily ...
Definition: DenseVector.h:70
SelectType< evaluateMatrix, const MRT, MCT >::Type LT
Type for the assignment of the left-hand side sparse matrix operand.
Definition: SMatDVecMultExpr.h:164
Constraint on the data type.
#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< evaluateVector, const VRT, VCT >::Type RT
Type for the assignment of the right-hand side dense matrix operand.
Definition: SMatDVecMultExpr.h:167
Constraints on the storage order of matrix types.
Constraint on the data type.
void multAssign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the multiplication assignment of a matrix to a matrix.
Definition: Matrix.h:361
Header file for the SelectType class template.
Header file for all forward declarations for expression class templates.
Header file for the EnableIf class template.
Header file for the serial shim.
SMatDVecMultExpr< MT, VT > This
Type of this SMatDVecMultExpr instance.
Definition: SMatDVecMultExpr.h:148
SelectType< IsExpression< VT >::value, const VT, const VT & >::Type RightOperand
Composite type of the right-hand side dense vector expression.
Definition: SMatDVecMultExpr.h:161
void smpAssign(DenseMatrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs)
Default implementation of the SMP assignment of a matrix to a dense matrix.
Definition: DenseMatrix.h:92
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
Removal of reference modifiers.The RemoveCV type trait removes any reference modifiers from the given...
Definition: RemoveReference.h:69
const ElementType ReturnType
Return type for expression template evaluations.
Definition: SMatDVecMultExpr.h:152
SMatDVecMultExpr(const MT &mat, const VT &vec)
Constructor for the SMatDVecMultExpr class.
Definition: SMatDVecMultExpr.h:185
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: SMatDVecMultExpr.h:305
bool isAligned() const
Returns whether the operands of the expression are properly aligned in memory.
Definition: SMatDVecMultExpr.h:327
Header file for run time assertion macros.
Base template for the MultTrait class.
Definition: MultTrait.h:141
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:301
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.
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:331
size_t size() const
Returns the current size/dimension of the vector.
Definition: SMatDVecMultExpr.h:273
Header file for the RemoveReference type trait.
MT::CompositeType MCT
Composite type of the left-hand side sparse matrix expression.
Definition: SMatDVecMultExpr.h:98
#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
Header file for the IsComputation type trait class.
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:2403
size_t columns(const Matrix< MT, SO > &m)
Returns the current number of columns of the matrix.
Definition: Matrix.h:170
Header file for basic type definitions.
ReturnType operator[](size_t index) const
Subscript operator for the direct access to the vector elements.
Definition: SMatDVecMultExpr.h:199
Header file for the SubvectorExprTrait class template.
Header file for the MatVecMultExpr base class.
Size type of the Blaze library.
Header file for the thresholds for matrix/vector and matrix/matrix multiplications.
bool canSMPAssign() const
Returns whether the expression can be used in SMP assignments.
Definition: SMatDVecMultExpr.h:337
#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
ResultType::ElementType ElementType
Resulting element type.
Definition: SMatDVecMultExpr.h:151
Header file for the IsExpression type trait class.
Header file for the FunctionTrace class.