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TSMatDVecMultExpr.h
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1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_TSMATDVECMULTEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_TSMATDVECMULTEXPR_H_
37 
38 
39 //*************************************************************************************************
40 // Includes
41 //*************************************************************************************************
42 
43 #include <stdexcept>
53 #include <blaze/math/shims/Reset.h>
65 #include <blaze/util/Assert.h>
67 #include <blaze/util/DisableIf.h>
68 #include <blaze/util/EnableIf.h>
70 #include <blaze/util/SelectType.h>
71 #include <blaze/util/Types.h>
73 
74 
75 namespace blaze {
76 
77 //=================================================================================================
78 //
79 // CLASS TSMATDVECMULTEXPR
80 //
81 //=================================================================================================
82 
83 //*************************************************************************************************
90 template< typename MT // Type of the left-hand side sparse matrix
91  , typename VT > // Type of the right-hand side dense vector
92 class TSMatDVecMultExpr : public DenseVector< TSMatDVecMultExpr<MT,VT>, false >
93  , private MatVecMultExpr
94  , private Computation
95 {
96  private:
97  //**Type definitions****************************************************************************
98  typedef typename MT::ResultType MRT;
99  typedef typename VT::ResultType VRT;
100  typedef typename MT::CompositeType MCT;
101  typedef typename VT::CompositeType VCT;
102  //**********************************************************************************************
103 
104  //**********************************************************************************************
106  enum { evaluateMatrix = RequiresEvaluation<MT>::value };
107  //**********************************************************************************************
108 
109  //**********************************************************************************************
111  enum { evaluateVector = IsComputation<VT>::value || RequiresEvaluation<VT>::value };
112  //**********************************************************************************************
113 
114  //**********************************************************************************************
116 
120  template< typename T1 >
121  struct UseSMPAssign {
122  enum { value = ( evaluateMatrix || evaluateVector ) };
123  };
125  //**********************************************************************************************
126 
127  public:
128  //**Type definitions****************************************************************************
133  typedef const ElementType ReturnType;
134  typedef const ResultType CompositeType;
135 
137  typedef typename SelectType< IsExpression<MT>::value, const MT, const MT& >::Type LeftOperand;
138 
140  typedef typename SelectType< IsExpression<VT>::value, const VT, const VT& >::Type RightOperand;
141 
144 
147  //**********************************************************************************************
148 
149  //**Compilation flags***************************************************************************
151  enum { vectorizable = 0 };
152 
154  enum { smpAssignable = !evaluateMatrix && MT::smpAssignable &&
155  !evaluateVector && VT::smpAssignable };
156  //**********************************************************************************************
157 
158  //**Constructor*********************************************************************************
164  explicit inline TSMatDVecMultExpr( const MT& mat, const VT& vec )
165  : mat_( mat ) // Left-hand side sparse matrix of the multiplication expression
166  , vec_( vec ) // Right-hand side dense vector of the multiplication expression
167  {
168  BLAZE_INTERNAL_ASSERT( mat_.columns() == vec_.size(), "Invalid matrix and vector sizes" );
169  }
170  //**********************************************************************************************
171 
172  //**Subscript operator**************************************************************************
178  inline ReturnType operator[]( size_t index ) const {
179  BLAZE_INTERNAL_ASSERT( index < mat_.rows(), "Invalid vector access index" );
180 
181  ElementType res;
182 
183  if( vec_.size() > 0UL ) {
184  res = mat_(index,0UL) * vec_[0UL];
185  for( size_t j=1UL; j<vec_.size(); ++j )
186  res += mat_(index,j) * vec_[j];
187  }
188  else {
189  reset( res );
190  }
191 
192  return res;
193  }
194  //**********************************************************************************************
195 
196  //**Size function*******************************************************************************
201  inline size_t size() const {
202  return mat_.rows();
203  }
204  //**********************************************************************************************
205 
206  //**Left operand access*************************************************************************
211  inline LeftOperand leftOperand() const {
212  return mat_;
213  }
214  //**********************************************************************************************
215 
216  //**Right operand access************************************************************************
221  inline RightOperand rightOperand() const {
222  return vec_;
223  }
224  //**********************************************************************************************
225 
226  //**********************************************************************************************
232  template< typename T >
233  inline bool canAlias( const T* alias ) const {
234  return ( mat_.isAliased( alias ) || vec_.isAliased( alias ) );
235  }
236  //**********************************************************************************************
237 
238  //**********************************************************************************************
244  template< typename T >
245  inline bool isAliased( const T* alias ) const {
246  return ( mat_.isAliased( alias ) || vec_.isAliased( alias ) );
247  }
248  //**********************************************************************************************
249 
250  //**********************************************************************************************
255  inline bool isAligned() const {
256  return vec_.isAligned();
257  }
258  //**********************************************************************************************
259 
260  //**********************************************************************************************
265  inline bool canSMPAssign() const {
266  return ( size() > SMP_TSMATDVECMULT_THRESHOLD );
267  }
268  //**********************************************************************************************
269 
270  private:
271  //**Member variables****************************************************************************
274  //**********************************************************************************************
275 
276  //**Assignment to dense vectors*****************************************************************
289  template< typename VT2 > // Type of the target dense vector
290  friend inline void assign( DenseVector<VT2,false>& lhs, const TSMatDVecMultExpr& rhs )
291  {
293 
294  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
295 
296  reset( ~lhs );
297 
298  if( rhs.mat_.columns() == 0UL ) return;
299 
300  LT A( serial( rhs.mat_ ) ); // Evaluation of the left-hand side sparse matrix operand
301  RT x( serial( rhs.vec_ ) ); // Evaluation of the right-hand side dense vector operand
302 
303  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
304  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
305  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
306  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
307 
308  TSMatDVecMultExpr::selectAssignKernel( ~lhs, A, x );
309  }
311  //**********************************************************************************************
312 
313  //**Optimized assignment to dense vectors*******************************************************
327  template< typename VT1 // Type of the left-hand side target vector
328  , typename MT1 // Type of the left-hand side matrix operand
329  , typename VT2 > // Type of the right-hand side vector operand
330  static inline void selectAssignKernel( VT1& y, const MT1& A, const VT2& x )
331  {
333 
334  for( size_t j=0UL; j<A.columns(); ++j )
335  {
336  ConstIterator element( A.begin(j) );
337  const ConstIterator end( A.end(j) );
338 
339  for( ; element!=end; ++element ) {
341  isDefault( y[element->index()] ) )
342  y[element->index()] = element->value() * x[j];
343  else
344  y[element->index()] += element->value() * x[j];
345  }
346  }
347  }
349  //**********************************************************************************************
350 
351  //**Assignment to sparse vectors****************************************************************
364  template< typename VT2 > // Type of the target sparse vector
365  friend inline void assign( SparseVector<VT2,false>& lhs, const TSMatDVecMultExpr& rhs )
366  {
368 
372 
373  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
374 
375  const ResultType tmp( serial( rhs ) );
376  assign( ~lhs, tmp );
377  }
379  //**********************************************************************************************
380 
381  //**Addition assignment to dense vectors********************************************************
394  template< typename VT2 > // Type of the target dense vector
395  friend inline void addAssign( DenseVector<VT2,false>& lhs, const TSMatDVecMultExpr& rhs )
396  {
398 
399  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
400 
401  if( rhs.mat_.columns() == 0UL ) return;
402 
403  LT A( serial( rhs.mat_ ) ); // Evaluation of the left-hand side sparse matrix operand
404  RT x( serial( rhs.vec_ ) ); // Evaluation of the right-hand side dense vector operand
405 
406  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
407  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
408  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
409  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
410 
411  TSMatDVecMultExpr::selectAddAssignKernel( ~lhs, A, x );
412  }
414  //**********************************************************************************************
415 
416  //**Optimized addition assignment to dense vectors**********************************************
430  template< typename VT1 // Type of the left-hand side target vector
431  , typename MT1 // Type of the left-hand side matrix operand
432  , typename VT2 > // Type of the right-hand side vector operand
433  static inline void selectAddAssignKernel( VT1& y, const MT1& A, const VT2& x )
434  {
436 
437  for( size_t j=0UL; j<A.columns(); ++j )
438  {
439  ConstIterator element( A.begin(j) );
440  const ConstIterator end( A.end(j) );
441 
442  for( ; element!=end; ++element ) {
443  y[element->index()] += element->value() * x[j];
444  }
445  }
446  }
448  //**********************************************************************************************
449 
450  //**Addition assignment to sparse vectors*******************************************************
451  // No special implementation for the addition assignment to sparse vectors.
452  //**********************************************************************************************
453 
454  //**Subtraction assignment to dense vectors*****************************************************
467  template< typename VT2 > // Type of the target dense vector
468  friend inline void subAssign( DenseVector<VT2,false>& lhs, const TSMatDVecMultExpr& rhs )
469  {
471 
472  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
473 
475 
476  if( rhs.mat_.columns() == 0UL ) return;
477 
478  LT A( serial( rhs.mat_ ) ); // Evaluation of the left-hand side sparse matrix operand
479  RT x( serial( rhs.vec_ ) ); // Evaluation of the right-hand side dense vector operand
480 
481  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
482  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
483  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
484  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
485 
486  TSMatDVecMultExpr::selectSubAssignKernel( ~lhs, A, x );
487  }
489  //**********************************************************************************************
490 
491  //**Optimized subtraction assignment to dense vectors*******************************************
505  template< typename VT1 // Type of the left-hand side target vector
506  , typename MT1 // Type of the left-hand side matrix operand
507  , typename VT2 > // Type of the right-hand side vector operand
508  static inline void selectSubAssignKernel( VT1& y, const MT1& A, const VT2& x )
509  {
511 
512  for( size_t j=0UL; j<A.columns(); ++j )
513  {
514  ConstIterator element( A.begin(j) );
515  const ConstIterator end( A.end(j) );
516 
517  for( ; element!=end; ++element ) {
518  y[element->index()] -= element->value() * x[j];
519  }
520  }
521  }
523  //**********************************************************************************************
524 
525  //**Subtraction assignment to sparse vectors****************************************************
526  // No special implementation for the subtraction assignment to sparse vectors.
527  //**********************************************************************************************
528 
529  //**Multiplication assignment to dense vectors**************************************************
542  template< typename VT2 > // Type of the target dense vector
543  friend inline void multAssign( DenseVector<VT2,false>& lhs, const TSMatDVecMultExpr& rhs )
544  {
546 
550 
551  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
552 
553  const ResultType tmp( serial( rhs ) );
554  multAssign( ~lhs, tmp );
555  }
557  //**********************************************************************************************
558 
559  //**Multiplication assignment to sparse vectors*************************************************
560  // No special implementation for the multiplication assignment to sparse vectors.
561  //**********************************************************************************************
562 
563  //**SMP assignment to dense vectors*************************************************************
578  template< typename VT2 > // Type of the target dense vector
579  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
580  smpAssign( DenseVector<VT2,false>& lhs, const TSMatDVecMultExpr& rhs )
581  {
583 
584  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
585 
586  reset( ~lhs );
587 
588  if( rhs.mat_.columns() == 0UL ) return;
589 
590  LT A( rhs.mat_ ); // Evaluation of the left-hand side sparse matrix operand
591  RT x( rhs.vec_ ); // Evaluation of the right-hand side dense vector operand
592 
593  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
594  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
595  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
596  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
597 
598  smpAssign( ~lhs, A * x );
599  }
601  //**********************************************************************************************
602 
603  //**SMP assignment to sparse vectors************************************************************
618  template< typename VT2 > // Type of the target sparse vector
619  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
620  smpAssign( SparseVector<VT2,false>& lhs, const TSMatDVecMultExpr& rhs )
621  {
623 
627 
628  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
629 
630  const ResultType tmp( rhs );
631  smpAssign( ~lhs, tmp );
632  }
634  //**********************************************************************************************
635 
636  //**SMP addition assignment to dense vectors****************************************************
651  template< typename VT2 > // Type of the target dense vector
652  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
653  smpAddAssign( DenseVector<VT2,false>& lhs, const TSMatDVecMultExpr& rhs )
654  {
656 
657  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
658 
659  if( rhs.mat_.columns() == 0UL ) return;
660 
661  LT A( rhs.mat_ ); // Evaluation of the left-hand side sparse matrix operand
662  RT x( rhs.vec_ ); // Evaluation of the right-hand side dense vector operand
663 
664  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
665  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
666  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
667  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
668 
669  smpAddAssign( ~lhs, A * x );
670  }
672  //**********************************************************************************************
673 
674  //**SMP addition assignment to sparse vectors***************************************************
675  // No special implementation for the SMP addition assignment to sparse vectors.
676  //**********************************************************************************************
677 
678  //**SMP subtraction assignment to dense vectors*************************************************
693  template< typename VT2 > // Type of the target dense vector
694  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
695  smpSubAssign( DenseVector<VT2,false>& lhs, const TSMatDVecMultExpr& rhs )
696  {
698 
699  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
700 
702 
703  if( rhs.mat_.columns() == 0UL ) return;
704 
705  LT A( rhs.mat_ ); // Evaluation of the left-hand side sparse matrix operand
706  RT x( rhs.vec_ ); // Evaluation of the right-hand side dense vector operand
707 
708  BLAZE_INTERNAL_ASSERT( A.rows() == rhs.mat_.rows() , "Invalid number of rows" );
709  BLAZE_INTERNAL_ASSERT( A.columns() == rhs.mat_.columns(), "Invalid number of columns" );
710  BLAZE_INTERNAL_ASSERT( x.size() == rhs.vec_.size() , "Invalid vector size" );
711  BLAZE_INTERNAL_ASSERT( A.rows() == (~lhs).size() , "Invalid vector size" );
712 
713  smpSubAssign( ~lhs, A * x );
714  }
716  //**********************************************************************************************
717 
718  //**SMP subtraction assignment to sparse vectors************************************************
719  // No special implementation for the SMP subtraction assignment to sparse vectors.
720  //**********************************************************************************************
721 
722  //**SMP multiplication assignment to dense vectors**********************************************
737  template< typename VT2 > // Type of the target dense vector
738  friend inline typename EnableIf< UseSMPAssign<VT2> >::Type
739  smpMultAssign( DenseVector<VT2,false>& lhs, const TSMatDVecMultExpr& rhs )
740  {
742 
746 
747  BLAZE_INTERNAL_ASSERT( (~lhs).size() == rhs.size(), "Invalid vector sizes" );
748 
749  const ResultType tmp( rhs );
750  smpMultAssign( ~lhs, tmp );
751  }
753  //**********************************************************************************************
754 
755  //**SMP multiplication assignment to sparse vectors*********************************************
756  // No special implementation for the SMP multiplication assignment to sparse vectors.
757  //**********************************************************************************************
758 
759  //**Compile time checks*************************************************************************
766  //**********************************************************************************************
767 };
768 //*************************************************************************************************
769 
770 
771 
772 
773 //=================================================================================================
774 //
775 // GLOBAL BINARY ARITHMETIC OPERATORS
776 //
777 //=================================================================================================
778 
779 //*************************************************************************************************
810 template< typename T1 // Type of the left-hand side sparse matrix
811  , typename T2 > // Type of the right-hand side dense vector
812 inline const typename DisableIf< IsMatMatMultExpr<T1>, TSMatDVecMultExpr<T1,T2> >::Type
814 {
816 
817  if( (~mat).columns() != (~vec).size() )
818  throw std::invalid_argument( "Matrix and vector sizes do not match" );
819 
820  return TSMatDVecMultExpr<T1,T2>( ~mat, ~vec );
821 }
822 //*************************************************************************************************
823 
824 
825 
826 
827 //=================================================================================================
828 //
829 // EXPRESSION TRAIT SPECIALIZATIONS
830 //
831 //=================================================================================================
832 
833 //*************************************************************************************************
835 template< typename MT, typename VT, bool AF >
836 struct SubvectorExprTrait< TSMatDVecMultExpr<MT,VT>, AF >
837 {
838  public:
839  //**********************************************************************************************
840  typedef typename MultExprTrait< typename SubmatrixExprTrait<const MT,AF>::Type, VT >::Type Type;
841  //**********************************************************************************************
842 };
844 //*************************************************************************************************
845 
846 } // namespace blaze
847 
848 #endif
RightOperand vec_
Right-hand side dense vector of the multiplication expression.
Definition: TSMatDVecMultExpr.h:273
Compile time check whether the given type is a computational expression template.This type trait clas...
Definition: IsComputation.h:89
VT::CompositeType VCT
Composite type of the right-hand side dense vector expression.
Definition: TSMatDVecMultExpr.h:101
void reset(DynamicMatrix< Type, SO > &m)
Resetting the given dense matrix.
Definition: DynamicMatrix.h:4599
size_t size() const
Returns the current size/dimension of the vector.
Definition: TSMatDVecMultExpr.h:201
Expression object for transpose sparse matrix-dense vector multiplications.The TSMatDVecMultExpr clas...
Definition: Forward.h:139
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
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
bool isDefault(const DynamicMatrix< Type, SO > &m)
Returns whether the given dense matrix is in default state.
Definition: DynamicMatrix.h:4642
Efficient implementation of a compressed matrix.The CompressedMatrix class template is the represent...
Definition: CompressedMatrix.h:199
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
Header file for the DenseVector base class.
LeftOperand mat_
Left-hand side sparse matrix of the multiplication expression.
Definition: TSMatDVecMultExpr.h:272
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.
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.
bool canSMPAssign() const
Returns whether the expression can be used in SMP assignments.
Definition: TSMatDVecMultExpr.h:265
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
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 ResultType CompositeType
Data type for composite expression templates.
Definition: TSMatDVecMultExpr.h:134
bool isAligned() const
Returns whether the operands of the expression are properly aligned in memory.
Definition: TSMatDVecMultExpr.h:255
#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
const Element * ConstIterator
Iterator over constant elements.
Definition: CompressedMatrix.h:2412
bool canAlias(const T *alias) const
Returns whether the expression can alias with the given address alias.
Definition: TSMatDVecMultExpr.h:233
MultTrait< MRT, VRT >::Type ResultType
Result type for expression template evaluations.
Definition: TSMatDVecMultExpr.h:130
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
Base class for N-dimensional dense vectors.The DenseVector class is a base class for all arbitrarily ...
Definition: DenseVector.h:70
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
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
SelectType< evaluateVector, const VRT, VCT >::Type RT
Type for the assignment of the right-hand side dense vector operand.
Definition: TSMatDVecMultExpr.h:146
Header file for the SelectType class template.
Header file for all forward declarations for expression class templates.
TSMatDVecMultExpr(const MT &mat, const VT &vec)
Constructor for the TSMatDVecMultExpr class.
Definition: TSMatDVecMultExpr.h:164
Header file for the EnableIf class template.
Header file for the serial shim.
SelectType< evaluateMatrix, const MRT, MCT >::Type LT
Type for the assignment of the left-hand side sparse matrix operand.
Definition: TSMatDVecMultExpr.h:143
SelectType< IsExpression< VT >::value, const VT, const VT & >::Type RightOperand
Composite type of the right-hand side dense vector expression.
Definition: TSMatDVecMultExpr.h:140
bool isAliased(const T *alias) const
Returns whether the expression is aliased with the given address alias.
Definition: TSMatDVecMultExpr.h:245
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
Compile time check for resizable data types.This type trait tests whether the given data type is a re...
Definition: IsResizable.h:75
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: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
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
const ElementType ReturnType
Return type for expression template evaluations.
Definition: TSMatDVecMultExpr.h:133
Header file for the isDefault shim.
VT::ResultType VRT
Result type of the right-hand side dense vector expression.
Definition: TSMatDVecMultExpr.h:99
const size_t SMP_TSMATDVECMULT_THRESHOLD
SMP column-major sparse matrix/dense vector multiplication threshold.This threshold specifies when a ...
Definition: Thresholds.h:529
TSMatDVecMultExpr< MT, VT > This
Type of this TSMatDVecMultExpr instance.
Definition: TSMatDVecMultExpr.h:129
MT::ResultType MRT
Result type of the left-hand side sparse matrix expression.
Definition: TSMatDVecMultExpr.h:98
Header file for the RemoveReference type trait.
ResultType::ElementType ElementType
Resulting element type.
Definition: TSMatDVecMultExpr.h:132
LeftOperand leftOperand() const
Returns the left-hand side transpose sparse matrix operand.
Definition: TSMatDVecMultExpr.h:211
#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
MT::CompositeType MCT
Composite type of the left-hand side sparse matrix expression.
Definition: TSMatDVecMultExpr.h:100
Header file for the IsComputation type trait class.
ReturnType operator[](size_t index) const
Subscript operator for the direct access to the vector elements.
Definition: TSMatDVecMultExpr.h:178
#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
RightOperand rightOperand() const
Returns the right-hand side dense vector operand.
Definition: TSMatDVecMultExpr.h:221
Header file for basic type definitions.
Header file for the SubvectorExprTrait class template.
Header file for the MatVecMultExpr base class.
Header file for the IsResizable type trait.
ResultType::TransposeType TransposeType
Transpose type for expression template evaluations.
Definition: TSMatDVecMultExpr.h:131
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.
Header file for the FunctionTrace class.
SelectType< IsExpression< MT >::value, const MT, const MT & >::Type LeftOperand
Composite type of the left-hand side sparse matrix expression.
Definition: TSMatDVecMultExpr.h:137