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DMatSVecMultExpr.h
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1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_DMATSVECMULTEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_DMATSVECMULTEXPR_H_
37 
38 
39 //*************************************************************************************************
40 // Includes
41 //*************************************************************************************************
42 
43 #include <stdexcept>
53 #include <blaze/math/shims/Reset.h>
64 #include <blaze/util/Assert.h>
66 #include <blaze/util/DisableIf.h>
67 #include <blaze/util/EnableIf.h>
69 #include <blaze/util/SelectType.h>
70 #include <blaze/util/Types.h>
72 
73 
74 namespace blaze {
75 
76 //=================================================================================================
77 //
78 // CLASS DMATSVECMULTEXPR
79 //
80 //=================================================================================================
81 
82 //*************************************************************************************************
89 template< typename MT // Type of the left-hand side dense matrix
90  , typename VT > // Type of the right-hand side sparse vector
91 class DMatSVecMultExpr : public DenseVector< DMatSVecMultExpr<MT,VT>, false >
92  , private MatVecMultExpr
93  , private Computation
94 {
95  private:
96  //**Type definitions****************************************************************************
97  typedef typename MT::ResultType MRT;
98  typedef typename VT::ResultType VRT;
99  typedef typename MT::CompositeType MCT;
100  typedef typename VT::CompositeType VCT;
101  //**********************************************************************************************
102 
103  //**********************************************************************************************
105  enum { evaluateMatrix = RequiresEvaluation<MT>::value };
106  //**********************************************************************************************
107 
108  //**********************************************************************************************
110  enum { evaluateVector = IsComputation<VT>::value || RequiresEvaluation<VT>::value };
111  //**********************************************************************************************
112 
113  //**********************************************************************************************
115 
121  enum { useAssign = evaluateMatrix || evaluateVector };
122  //**********************************************************************************************
123 
124  //**********************************************************************************************
126  template< typename VT2 >
128  struct UseAssign {
129  enum { value = useAssign };
130  };
132  //**********************************************************************************************
133 
134  //**********************************************************************************************
136 
140  template< typename T1 >
141  struct UseSMPAssign {
142  enum { value = useAssign };
143  };
145  //**********************************************************************************************
146 
147  public:
148  //**Type definitions****************************************************************************
153  typedef const ElementType ReturnType;
154 
157 
159  typedef typename SelectType< IsExpression<MT>::value, const MT, const MT& >::Type LeftOperand;
160 
162  typedef typename SelectType< IsExpression<VT>::value, const VT, const VT& >::Type RightOperand;
163 
166 
169  //**********************************************************************************************
170 
171  //**Compilation flags***************************************************************************
173  enum { vectorizable = 0 };
174 
176  enum { smpAssignable = !evaluateMatrix && MT::smpAssignable &&
177  !evaluateVector && VT::smpAssignable };
178  //**********************************************************************************************
179 
180  //**Constructor*********************************************************************************
186  explicit inline DMatSVecMultExpr( const MT& mat, const VT& vec )
187  : mat_( mat ) // Left-hand side dense matrix of the multiplication expression
188  , vec_( vec ) // Right-hand side sparse vector of the multiplication expression
189  {
190  BLAZE_INTERNAL_ASSERT( mat_.columns() == vec_.size(), "Invalid matrix and vector sizes" );
191  }
192  //**********************************************************************************************
193 
194  //**Subscript operator**************************************************************************
200  inline ReturnType operator[]( size_t index ) const {
201  BLAZE_INTERNAL_ASSERT( index < mat_.rows(), "Invalid vector access index" );
202 
204 
205  VCT x( vec_ ); // Evaluation of the right-hand side sparse vector operand
206 
207  BLAZE_INTERNAL_ASSERT( x.size() == vec_.size(), "Invalid vector size" );
208 
209  ConstIterator element( x.begin() );
210  ElementType res;
211 
212  if( element != x.end() ) {
213  res = mat_( index, element->index() ) * element->value();
214  ++element;
215  for( ; element!=x.end(); ++element )
216  res += mat_( index, element->index() ) * element->value();
217  }
218  else {
219  reset( res );
220  }
221 
222  return res;
223  }
224  //**********************************************************************************************
225 
226  //**Size function*******************************************************************************
231  inline size_t size() const {
232  return mat_.rows();
233  }
234  //**********************************************************************************************
235 
236  //**Left operand access*************************************************************************
241  inline LeftOperand leftOperand() const {
242  return mat_;
243  }
244  //**********************************************************************************************
245 
246  //**Right operand access************************************************************************
251  inline RightOperand rightOperand() const {
252  return vec_;
253  }
254  //**********************************************************************************************
255 
256  //**********************************************************************************************
262  template< typename T >
263  inline bool canAlias( const T* alias ) const {
264  return mat_.isAliased( alias ) || vec_.isAliased( alias );
265  }
266  //**********************************************************************************************
267 
268  //**********************************************************************************************
274  template< typename T >
275  inline bool isAliased( const T* alias ) const {
276  return mat_.isAliased( alias ) || vec_.isAliased( alias );
277  }
278  //**********************************************************************************************
279 
280  //**********************************************************************************************
285  inline bool isAligned() const {
286  return mat_.isAligned();
287  }
288  //**********************************************************************************************
289 
290  //**********************************************************************************************
295  inline bool canSMPAssign() const {
296  return ( size() > SMP_DMATSVECMULT_THRESHOLD );
297  }
298  //**********************************************************************************************
299 
300  private:
301  //**Member variables****************************************************************************
304  //**********************************************************************************************
305 
306  //**Assignment to dense vectors*****************************************************************
322  template< typename VT1 > // Type of the target dense vector
323  friend inline typename EnableIf< UseAssign<VT1> >::Type
325  {
327 
328  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
329 
331 
332  // Evaluation of the right-hand side sparse vector operand
333  RT x( serial( rhs.vec_ ) );
334  if( x.nonZeros() == 0UL ) {
335  reset( ~lhs );
336  return;
337  }
338 
339  // Evaluation of the left-hand side dense matrix operand
340  LT A( serial( rhs.mat_ ) );
341 
342  // Checking the evaluated operands
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( x.size() == rhs.vec_.size() , "Invalid vector size" );
346  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
347 
348  // Performing the dense matrix-sparse vector multiplication
349  assign( ~lhs, A * x );
350  }
352  //**********************************************************************************************
353 
354  //**Assignment to sparse vectors****************************************************************
370  template< typename VT1 > // Type of the target sparse vector
371  friend inline typename EnableIf< UseAssign<VT1> >::Type
373  {
375 
379 
380  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
381 
382  const ResultType tmp( serial( rhs ) );
383  assign( ~lhs, tmp );
384  }
386  //**********************************************************************************************
387 
388  //**Addition assignment to dense vectors********************************************************
404  template< typename VT1 > // Type of the target dense vector
405  friend inline typename EnableIf< UseAssign<VT1> >::Type
406  addAssign( DenseVector<VT1,false>& lhs, const DMatSVecMultExpr& rhs )
407  {
409 
410  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
411 
413 
414  // Evaluation of the right-hand side sparse vector operand
415  RT x( serial( rhs.vec_ ) );
416  if( x.nonZeros() == 0UL ) return;
417 
418  // Evaluation of the left-hand side dense matrix operand
419  LT A( serial( rhs.mat_ ) );
420 
421  // Checking the evaluated operands
422  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
423  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
424  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
425  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
426 
427  // Performing the dense matrix-sparse vector multiplication
428  addAssign( ~lhs, A * x );
429  }
431  //**********************************************************************************************
432 
433  //**Addition assignment to sparse vectors*******************************************************
434  // No special implementation for the addition assignment to sparse vectors.
435  //**********************************************************************************************
436 
437  //**Subtraction assignment to dense vectors*****************************************************
453  template< typename VT1 > // Type of the target dense vector
454  friend inline typename EnableIf< UseAssign<VT1> >::Type
455  subAssign( DenseVector<VT1,false>& lhs, const DMatSVecMultExpr& rhs )
456  {
458 
459  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
460 
462 
463  // Evaluation of the right-hand side sparse vector operand
464  RT x( serial( rhs.vec_ ) );
465  if( x.nonZeros() == 0UL ) return;
466 
467  // Evaluation of the left-hand side dense matrix operand
468  LT A( serial( rhs.mat_ ) );
469 
470  // Checking the evaluated operands
471  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
472  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
473  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
474  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
475 
476  // Performing the dense matrix-sparse vector multiplication
477  subAssign( ~lhs, A * x );
478  }
480  //**********************************************************************************************
481 
482  //**Subtraction assignment to sparse vectors****************************************************
483  // No special implementation for the subtraction assignment to sparse vectors.
484  //**********************************************************************************************
485 
486  //**Multiplication assignment to dense vectors**************************************************
502  template< typename VT1 > // Type of the target dense vector
503  friend inline typename EnableIf< UseAssign<VT1> >::Type
504  multAssign( DenseVector<VT1,false>& lhs, const DMatSVecMultExpr& rhs )
505  {
507 
511 
512  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
513 
514  const ResultType tmp( serial( rhs ) );
515  multAssign( ~lhs, tmp );
516  }
518  //**********************************************************************************************
519 
520  //**Addition assignment to sparse vectors*******************************************************
521  // No special implementation for the multiplication assignment to sparse vectors.
522  //**********************************************************************************************
523 
524  //**SMP assignment to dense vectors*************************************************************
539  template< typename VT1 > // Type of the target dense vector
540  friend inline typename EnableIf< UseSMPAssign<VT1> >::Type
541  smpAssign( DenseVector<VT1,false>& lhs, const DMatSVecMultExpr& rhs )
542  {
544 
545  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
546 
548 
549  // Evaluation of the right-hand side sparse vector operand
550  RT x( rhs.vec_ );
551  if( x.nonZeros() == 0UL ) {
552  reset( ~lhs );
553  return;
554  }
555 
556  // Evaluation of the left-hand side dense matrix operand
557  LT A( rhs.mat_ );
558 
559  // Checking the evaluated operands
560  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
561  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
562  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
563  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
564 
565  // Performing the dense matrix-sparse vector multiplication
566  smpAssign( ~lhs, A * x );
567  }
569  //**********************************************************************************************
570 
571  //**SMP assignment to sparse vectors************************************************************
586  template< typename VT1 > // Type of the target sparse vector
587  friend inline typename EnableIf< UseSMPAssign<VT1> >::Type
588  smpAssign( SparseVector<VT1,false>& lhs, const DMatSVecMultExpr& rhs )
589  {
591 
595 
596  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
597 
598  const ResultType tmp( rhs );
599  smpAssign( ~lhs, tmp );
600  }
602  //**********************************************************************************************
603 
604  //**SMP addition assignment to dense vectors****************************************************
619  template< typename VT1 > // Type of the target dense vector
620  friend inline typename EnableIf< UseSMPAssign<VT1> >::Type
621  smpAddAssign( DenseVector<VT1,false>& lhs, const DMatSVecMultExpr& rhs )
622  {
624 
625  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
626 
628 
629  // Evaluation of the right-hand side sparse vector operand
630  RT x( rhs.vec_ );
631  if( x.nonZeros() == 0UL ) return;
632 
633  // Evaluation of the left-hand side dense matrix operand
634  LT A( rhs.mat_ );
635 
636  // Checking the evaluated operands
637  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
638  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
639  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
640  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
641 
642  // Performing the dense matrix-sparse vector multiplication
643  smpAddAssign( ~lhs, A * x );
644  }
646  //**********************************************************************************************
647 
648  //**SMP addition assignment to sparse vectors***************************************************
649  // No special implementation for the SMP addition assignment to sparse vectors.
650  //**********************************************************************************************
651 
652  //**SMP subtraction assignment to dense vectors*************************************************
667  template< typename VT1 > // Type of the target dense vector
668  friend inline typename EnableIf< UseSMPAssign<VT1> >::Type
669  smpSubAssign( DenseVector<VT1,false>& lhs, const DMatSVecMultExpr& rhs )
670  {
672 
673  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
674 
676 
677  // Evaluation of the right-hand side sparse vector operand
678  RT x( rhs.vec_ );
679  if( x.nonZeros() == 0UL ) return;
680 
681  // Evaluation of the left-hand side dense matrix operand
682  LT A( rhs.mat_ );
683 
684  // Checking the evaluated operands
685  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
686  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
687  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
688  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
689 
690  // Performing the dense matrix-sparse vector multiplication
691  smpSubAssign( ~lhs, A * x );
692  }
694  //**********************************************************************************************
695 
696  //**SMP subtraction assignment to sparse vectors************************************************
697  // No special implementation for the SMP subtraction assignment to sparse vectors.
698  //**********************************************************************************************
699 
700  //**SMP multiplication assignment to dense vectors**********************************************
715  template< typename VT1 > // Type of the target dense vector
716  friend inline typename EnableIf< UseSMPAssign<VT1> >::Type
717  smpMultAssign( DenseVector<VT1,false>& lhs, const DMatSVecMultExpr& rhs )
718  {
720 
724 
725  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
726 
727  const ResultType tmp( rhs );
728  smpMultAssign( ~lhs, tmp );
729  }
731  //**********************************************************************************************
732 
733  //**SMP multiplication assignment to sparse vectors*********************************************
734  // No special implementation for the SMP multiplication assignment to sparse vectors.
735  //**********************************************************************************************
736 
737  //**Compile time checks*************************************************************************
744  //**********************************************************************************************
745 };
746 //*************************************************************************************************
747 
748 
749 
750 
751 //=================================================================================================
752 //
753 // GLOBAL BINARY ARITHMETIC OPERATORS
754 //
755 //=================================================================================================
756 
757 //*************************************************************************************************
789 template< typename T1 // Type of the left-hand side dense matrix
790  , typename T2 > // Type of the right-hand side sparse vector
791 inline const typename DisableIf< IsMatMatMultExpr<T1>, DMatSVecMultExpr<T1,T2> >::Type
793 {
795 
796  if( (~mat).columns() != (~vec).size() )
797  throw std::invalid_argument( "Matrix and vector sizes do not match" );
798 
799  return DMatSVecMultExpr<T1,T2>( ~mat, ~vec );
800 }
801 //*************************************************************************************************
802 
803 
804 
805 
806 //=================================================================================================
807 //
808 // GLOBAL RESTRUCTURING BINARY ARITHMETIC OPERATORS
809 //
810 //=================================================================================================
811 
812 //*************************************************************************************************
825 template< typename T1 // Type of the left-hand side dense matrix
826  , bool SO // Storage order of the left-hand side dense matrix
827  , typename T2 > // Type of the right-hand side sparse vector
828 inline const typename EnableIf< IsMatMatMultExpr<T1>, MultExprTrait<T1,T2> >::Type::Type
830 {
832 
833  return (~mat).leftOperand() * ( (~mat).rightOperand() * vec );
834 }
835 //*************************************************************************************************
836 
837 
838 
839 
840 //=================================================================================================
841 //
842 // EXPRESSION TRAIT SPECIALIZATIONS
843 //
844 //=================================================================================================
845 
846 //*************************************************************************************************
848 template< typename MT, typename VT, bool AF >
849 struct SubvectorExprTrait< DMatSVecMultExpr<MT,VT>, AF >
850 {
851  public:
852  //**********************************************************************************************
853  typedef typename MultExprTrait< typename SubmatrixExprTrait<const MT,AF>::Type, VT >::Type Type;
854  //**********************************************************************************************
855 };
857 //*************************************************************************************************
858 
859 } // namespace blaze
860 
861 #endif
bool isAligned() const
Returns whether the operands of the expression are properly aligned in memory.
Definition: DMatSVecMultExpr.h:285
Compile time check whether the given type is a computational expression template.This type trait clas...
Definition: IsComputation.h:89
void reset(DynamicMatrix< Type, SO > &m)
Resetting the given dense matrix.
Definition: DynamicMatrix.h:4599
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
DMatSVecMultExpr< MT, VT > This
Type of this DMatSVecMultExpr instance.
Definition: DMatSVecMultExpr.h:149
LeftOperand leftOperand() const
Returns the left-hand side dense matrix operand.
Definition: DMatSVecMultExpr.h:241
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
#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
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
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
MultTrait< MRT, VRT >::Type ResultType
Result type for expression template evaluations.
Definition: DMatSVecMultExpr.h:150
Header file for the DenseVector base class.
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.
Header file for the RequiresEvaluation type trait.
LeftOperand mat_
Left-hand side dense matrix of the multiplication expression.
Definition: DMatSVecMultExpr.h:302
VT::ResultType VRT
Result type of the right-hand side sparse vector expression.
Definition: DMatSVecMultExpr.h:98
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.
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: DMatSVecMultExpr.h:151
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
Expression object for dense matrix-sparse vector multiplications.The DMatSVecMultExpr class represent...
Definition: DMatSVecMultExpr.h:91
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.
SelectType< evaluateVector, const VRT, VCT >::Type RT
Type for the assignment of the right-hand side dense matrix operand.
Definition: DMatSVecMultExpr.h:168
const Element * ConstIterator
Iterator over constant elements.
Definition: CompressedMatrix.h:2412
Header file for the IsMatMatMultExpr type trait class.
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
RightOperand vec_
Right-hand side sparse vector of the multiplication expression.
Definition: DMatSVecMultExpr.h:303
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
SelectType< IsExpression< VT >::value, const VT, const VT & >::Type RightOperand
Composite type of the right-hand side dense vector expression.
Definition: DMatSVecMultExpr.h:162
Constraint on the data type.
Base class for all matrix/vector multiplication expression templates.The MatVecMultExpr class serves ...
Definition: MatVecMultExpr.h:66
RightOperand rightOperand() const
Returns the right-hand side sparse vector operand.
Definition: DMatSVecMultExpr.h:251
#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.
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.
Constraint on the data type.
Header file for the EnableIf class template.
Header file for the serial shim.
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
MT::CompositeType MCT
Composite type of the left-hand side dense matrix expression.
Definition: DMatSVecMultExpr.h:99
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
size_t size() const
Returns the current size/dimension of the vector.
Definition: DMatSVecMultExpr.h:231
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
SelectType< IsExpression< MT >::value, const MT, const MT & >::Type LeftOperand
Composite type of the left-hand side dense matrix expression.
Definition: DMatSVecMultExpr.h:159
Substitution Failure Is Not An Error (SFINAE) class.The EnableIf class template is an auxiliary tool ...
Definition: EnableIf.h:184
ResultType::ElementType ElementType
Resulting element type.
Definition: DMatSVecMultExpr.h:152
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
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: DMatSVecMultExpr.h:263
Header file for the RemoveReference type trait.
const size_t SMP_DMATSVECMULT_THRESHOLD
SMP row-major dense matrix/sparse vector multiplication threshold.This threshold specifies when a row...
Definition: Thresholds.h:414
#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
const ElementType ReturnType
Return type for expression template evaluations.
Definition: DMatSVecMultExpr.h:153
Header file for the IsComputation type trait class.
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: DMatSVecMultExpr.h:275
Base class for all compute expression templates.The Computation class serves as a tag for all computa...
Definition: Computation.h:59
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.
Header file for the SubvectorExprTrait class template.
ReturnType operator[](size_t index) const
Subscript operator for the direct access to the vector elements.
Definition: DMatSVecMultExpr.h:200
Header file for the MatVecMultExpr base class.
SelectType< useAssign, const ResultType, const DMatSVecMultExpr & >::Type CompositeType
Data type for composite expression templates.
Definition: DMatSVecMultExpr.h:156
DMatSVecMultExpr(const MT &mat, const VT &vec)
Constructor for the DMatSVecMultExpr class.
Definition: DMatSVecMultExpr.h:186
MT::ResultType MRT
Result type of the left-hand side dense matrix expression.
Definition: DMatSVecMultExpr.h:97
VT::CompositeType VCT
Composite type of the right-hand side sparse vector expression.
Definition: DMatSVecMultExpr.h:100
SelectType< evaluateMatrix, const MRT, MCT >::Type LT
Type for the assignment of the left-hand side dense matrix operand.
Definition: DMatSVecMultExpr.h:165
bool canSMPAssign() const
Returns whether the expression can be used in SMP assignments.
Definition: DMatSVecMultExpr.h:295
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.