TDMatSMatAddExpr.h
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1 //=================================================================================================
33 //=================================================================================================
34 
35 #ifndef _BLAZE_MATH_EXPRESSIONS_TDMATSMATADDEXPR_H_
36 #define _BLAZE_MATH_EXPRESSIONS_TDMATSMATADDEXPR_H_
37 
38 
39 //*************************************************************************************************
40 // Includes
41 //*************************************************************************************************
42 
43 #include <utility>
44 #include <blaze/math/Aliases.h>
52 #include <blaze/math/Exception.h>
63 #include <blaze/util/Assert.h>
64 #include <blaze/util/DisableIf.h>
65 #include <blaze/util/EnableIf.h>
68 #include <blaze/util/mpl/If.h>
69 #include <blaze/util/Types.h>
71 #include <blaze/util/Unused.h>
72 
73 
74 namespace blaze {
75 
76 //=================================================================================================
77 //
78 // CLASS TDMATSMATADDEXPR
79 //
80 //=================================================================================================
81 
82 //*************************************************************************************************
89 template< typename MT1 // Type of the left-hand side dense matrix
90  , typename MT2 > // Type of the right-hand side sparse matrix
91 class TDMatSMatAddExpr
92  : public MatMatAddExpr< DenseMatrix< TDMatSMatAddExpr<MT1,MT2>, true > >
93  , private Computation
94 {
95  private:
96  //**Type definitions****************************************************************************
101  //**********************************************************************************************
102 
103  //**Return type evaluation**********************************************************************
105 
110  static constexpr bool returnExpr = ( !IsTemporary_v<RN1> && !IsTemporary_v<RN2> );
111 
113  using ExprReturnType = decltype( std::declval<RN1>() + std::declval<RN2>() );
114  //**********************************************************************************************
115 
116  //**Parallel evaluation strategy****************************************************************
118 
123  template< typename MT >
124  static constexpr bool UseSMPAssign_v = ( !MT1::smpAssignable || !MT2::smpAssignable );
126  //**********************************************************************************************
127 
128  public:
129  //**Type definitions****************************************************************************
136 
139 
141  using CompositeType = const ResultType;
142 
144  using LeftOperand = If_t< IsExpression_v<MT1>, const MT1, const MT1& >;
145 
147  using RightOperand = If_t< IsExpression_v<MT2>, const MT2, const MT2& >;
148  //**********************************************************************************************
149 
150  //**Compilation flags***************************************************************************
152  static constexpr bool simdEnabled = false;
153 
155  static constexpr bool smpAssignable = false;
156  //**********************************************************************************************
157 
158  //**Constructor*********************************************************************************
164  explicit inline TDMatSMatAddExpr( const MT1& lhs, const MT2& rhs ) noexcept
165  : lhs_( lhs ) // Left-hand side dense matrix of the addition expression
166  , rhs_( rhs ) // Right-hand side sparse matrix of the addition expression
167  {
168  BLAZE_INTERNAL_ASSERT( lhs.rows() == rhs.rows() , "Invalid number of rows" );
169  BLAZE_INTERNAL_ASSERT( lhs.columns() == rhs.columns(), "Invalid number of columns" );
170  }
171  //**********************************************************************************************
172 
173  //**Access operator*****************************************************************************
180  inline ReturnType operator()( size_t i, size_t j ) const {
181  BLAZE_INTERNAL_ASSERT( i < lhs_.rows() , "Invalid row access index" );
182  BLAZE_INTERNAL_ASSERT( j < lhs_.columns(), "Invalid column access index" );
183  return lhs_(i,j) + rhs_(i,j);
184  }
185  //**********************************************************************************************
186 
187  //**At function*********************************************************************************
195  inline ReturnType at( size_t i, size_t j ) const {
196  if( i >= lhs_.rows() ) {
197  BLAZE_THROW_OUT_OF_RANGE( "Invalid row access index" );
198  }
199  if( j >= lhs_.columns() ) {
200  BLAZE_THROW_OUT_OF_RANGE( "Invalid column access index" );
201  }
202  return (*this)(i,j);
203  }
204  //**********************************************************************************************
205 
206  //**Rows function*******************************************************************************
211  inline size_t rows() const noexcept {
212  return lhs_.rows();
213  }
214  //**********************************************************************************************
215 
216  //**Columns function****************************************************************************
221  inline size_t columns() const noexcept {
222  return lhs_.columns();
223  }
224  //**********************************************************************************************
225 
226  //**Left operand access*************************************************************************
231  inline LeftOperand leftOperand() const noexcept {
232  return lhs_;
233  }
234  //**********************************************************************************************
235 
236  //**Right operand access************************************************************************
241  inline RightOperand rightOperand() const noexcept {
242  return rhs_;
243  }
244  //**********************************************************************************************
245 
246  //**********************************************************************************************
252  template< typename T >
253  inline bool canAlias( const T* alias ) const noexcept {
254  return ( IsExpression_v<MT1> && lhs_.canAlias( alias ) ) ||
255  ( rhs_.canAlias( alias ) );
256  }
257  //**********************************************************************************************
258 
259  //**********************************************************************************************
265  template< typename T >
266  inline bool isAliased( const T* alias ) const noexcept {
267  return ( lhs_.isAliased( alias ) || rhs_.isAliased( alias ) );
268  }
269  //**********************************************************************************************
270 
271  private:
272  //**Member variables****************************************************************************
275  //**********************************************************************************************
276 
277  //**Assignment to dense matrices****************************************************************
289  template< typename MT // Type of the target dense matrix
290  , bool SO2 > // Storage order of the target dense matrix
291  friend inline void assign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
292  {
294 
295  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
296  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
297 
298  if( !IsOperation_v<MT1> && isSame( ~lhs, rhs.lhs_ ) ) {
299  addAssign( ~lhs, rhs.rhs_ );
300  }
301  else {
302  assign ( ~lhs, rhs.lhs_ );
303  addAssign( ~lhs, rhs.rhs_ );
304  }
305  }
307  //**********************************************************************************************
308 
309  //**Assignment to sparse matrices***************************************************************
321  template< typename MT // Type of the target sparse matrix
322  , bool SO2 > // Storage order of the target sparse matrix
323  friend inline void assign( SparseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
324  {
326 
328 
335 
336  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
337  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
338 
339  const TmpType tmp( serial( rhs ) );
340  assign( ~lhs, tmp );
341  }
343  //**********************************************************************************************
344 
345  //**Addition assignment to dense matrices*******************************************************
358  template< typename MT // Type of the target dense matrix
359  , bool SO2 > // Storage order of the target dense matrix
360  friend inline void addAssign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
361  {
363 
364  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
365  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
366 
367  addAssign( ~lhs, rhs.lhs_ );
368  addAssign( ~lhs, rhs.rhs_ );
369  }
371  //**********************************************************************************************
372 
373  //**Addition assignment to sparse matrices******************************************************
374  // No special implementation for the addition assignment to sparse matrices.
375  //**********************************************************************************************
376 
377  //**Subtraction assignment to dense matrices****************************************************
390  template< typename MT // Type of the target dense matrix
391  , bool SO2 > // Storage order of the target dense matrix
392  friend inline void subAssign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
393  {
395 
396  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
397  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
398 
399  subAssign( ~lhs, rhs.lhs_ );
400  subAssign( ~lhs, rhs.rhs_ );
401  }
403  //**********************************************************************************************
404 
405  //**Subtraction assignment to sparse matrices***************************************************
406  // No special implementation for the subtraction assignment to sparse matrices.
407  //**********************************************************************************************
408 
409  //**Schur product assignment to dense matrices**************************************************
422  template< typename MT // Type of the target dense matrix
423  , bool SO2 > // Storage order of the target dense matrix
424  friend inline void schurAssign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
425  {
427 
431 
432  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
433  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
434 
435  const ResultType tmp( serial( rhs ) );
436  schurAssign( ~lhs, tmp );
437  }
439  //**********************************************************************************************
440 
441  //**Schur product assignment to sparse matrices*************************************************
442  // No special implementation for the Schur product assignment to sparse matrices.
443  //**********************************************************************************************
444 
445  //**Multiplication assignment to dense matrices*************************************************
446  // No special implementation for the multiplication assignment to dense matrices.
447  //**********************************************************************************************
448 
449  //**Multiplication assignment to sparse matrices************************************************
450  // No special implementation for the multiplication assignment to sparse matrices.
451  //**********************************************************************************************
452 
453  //**SMP assignment to dense matrices************************************************************
467  template< typename MT // Type of the target dense matrix
468  , bool SO2 > // Storage order of the target dense matrix
469  friend inline auto smpAssign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
470  -> EnableIf_t< UseSMPAssign_v<MT> >
471  {
473 
474  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
475  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
476 
477  if( !IsOperation_v<MT1> && isSame( ~lhs, rhs.lhs_ ) ) {
478  smpAddAssign( ~lhs, rhs.rhs_ );
479  }
480  else {
481  smpAssign ( ~lhs, rhs.lhs_ );
482  smpAddAssign( ~lhs, rhs.rhs_ );
483  }
484  }
486  //**********************************************************************************************
487 
488  //**SMP assignment to sparse matrices***********************************************************
502  template< typename MT // Type of the target sparse matrix
503  , bool SO2 > // Storage order of the target sparse matrix
504  friend inline auto smpAssign( SparseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
505  -> EnableIf_t< UseSMPAssign_v<MT> >
506  {
508 
509  using TmpType = If_t< SO2, ResultType, OppositeType >;
510 
517 
518  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
519  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
520 
521  const TmpType tmp( rhs );
522  smpAssign( ~lhs, tmp );
523  }
525  //**********************************************************************************************
526 
527  //**SMP addition assignment to dense matrices***************************************************
542  template< typename MT // Type of the target dense matrix
543  , bool SO2 > // Storage order of the target dense matrix
544  friend inline auto smpAddAssign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
545  -> EnableIf_t< UseSMPAssign_v<MT> >
546  {
548 
549  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
550  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
551 
552  smpAddAssign( ~lhs, rhs.lhs_ );
553  smpAddAssign( ~lhs, rhs.rhs_ );
554  }
556  //**********************************************************************************************
557 
558  //**SMP addition assignment to sparse matrices**************************************************
559  // No special implementation for the SMP addition assignment to sparse matrices.
560  //**********************************************************************************************
561 
562  //**SMP subtraction assignment to dense matrices************************************************
577  template< typename MT // Type of the target dense matrix
578  , bool SO2 > // Storage order of the target dense matrix
579  friend inline auto smpSubAssign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
580  -> EnableIf_t< UseSMPAssign_v<MT> >
581  {
583 
584  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
585  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
586 
587  smpSubAssign( ~lhs, rhs.lhs_ );
588  smpSubAssign( ~lhs, rhs.rhs_ );
589  }
591  //**********************************************************************************************
592 
593  //**SMP subtraction assignment to sparse matrices***********************************************
594  // No special implementation for the SMP subtraction assignment to sparse matrices.
595  //**********************************************************************************************
596 
597  //**SMP Schur product assignment to dense matrices**********************************************
612  template< typename MT // Type of the target dense matrix
613  , bool SO2 > // Storage order of the target dense matrix
614  friend inline auto smpSchurAssign( DenseMatrix<MT,SO2>& lhs, const TDMatSMatAddExpr& rhs )
615  -> EnableIf_t< UseSMPAssign_v<MT> >
616  {
618 
622 
623  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == rhs.rows() , "Invalid number of rows" );
624  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );
625 
626  const ResultType tmp( rhs );
627  smpSchurAssign( ~lhs, tmp );
628  }
630  //**********************************************************************************************
631 
632  //**SMP Schur product assignment to sparse matrices*********************************************
633  // No special implementation for the SMP Schur product assignment to sparse matrices.
634  //**********************************************************************************************
635 
636  //**SMP multiplication assignment to dense matrices*********************************************
637  // No special implementation for the SMP multiplication assignment to dense matrices.
638  //**********************************************************************************************
639 
640  //**SMP multiplication assignment to sparse matrices********************************************
641  // No special implementation for the SMP multiplication assignment to sparse matrices.
642  //**********************************************************************************************
643 
644  //**Compile time checks*************************************************************************
652  //**********************************************************************************************
653 };
654 //*************************************************************************************************
655 
656 
657 
658 
659 //=================================================================================================
660 //
661 // GLOBAL BINARY ARITHMETIC OPERATORS
662 //
663 //=================================================================================================
664 
665 //*************************************************************************************************
678 template< typename MT1 // Type of the left-hand side dense matrix
679  , typename MT2 // Type of the right-hand side sparse matrix
680  , DisableIf_t< IsZero_v<MT2> &&
681  IsSame_v< ElementType_t<MT1>, ElementType_t<MT2> > >* = nullptr >
682 inline const TDMatSMatAddExpr<MT1,MT2>
683  tdmatsmatadd( const DenseMatrix<MT1,true>& lhs, const SparseMatrix<MT2,false>& rhs )
684 {
686 
687  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == (~rhs).rows() , "Invalid number of rows" );
688  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == (~rhs).columns(), "Invalid number of columns" );
689 
690  return TDMatSMatAddExpr<MT1,MT2>( ~lhs, ~rhs );
691 }
693 //*************************************************************************************************
694 
695 
696 //*************************************************************************************************
710 template< typename MT1 // Type of the left-hand side dense matrix
711  , typename MT2 // Type of the right-hand side sparse matrix
712  , EnableIf_t< IsZero_v<MT2> &&
713  IsSame_v< ElementType_t<MT1>, ElementType_t<MT2> > >* = nullptr >
714 inline const MT1&
715  tdmatsmatadd( const DenseMatrix<MT1,true>& lhs, const SparseMatrix<MT2,false>& rhs )
716 {
718 
719  UNUSED_PARAMETER( rhs );
720 
721  BLAZE_INTERNAL_ASSERT( (~lhs).rows() == (~rhs).rows() , "Invalid number of rows" );
722  BLAZE_INTERNAL_ASSERT( (~lhs).columns() == (~rhs).columns(), "Invalid number of columns" );
723 
724  return (~lhs);
725 }
727 //*************************************************************************************************
728 
729 
730 //*************************************************************************************************
761 template< typename MT1 // Type of the left-hand side dense matrix
762  , typename MT2 > // Type of the right-hand side sparse matrix
763 inline decltype(auto)
764  operator+( const DenseMatrix<MT1,true>& lhs, const SparseMatrix<MT2,false>& rhs )
765 {
767 
768  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() ) {
769  BLAZE_THROW_INVALID_ARGUMENT( "Matrix sizes do not match" );
770  }
771 
772  return tdmatsmatadd( ~lhs, ~rhs );
773 }
774 //*************************************************************************************************
775 
776 
777 //*************************************************************************************************
808 template< typename MT1 // Type of the left-hand side sparse matrix
809  , typename MT2 > // Type of the right-hand side dense matrix
810 inline decltype(auto)
811  operator+( const SparseMatrix<MT1,false>& lhs, const DenseMatrix<MT2,true>& rhs )
812 {
814 
815  if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() ) {
816  BLAZE_THROW_INVALID_ARGUMENT( "Matrix sizes do not match" );
817  }
818 
819  return tdmatsmatadd( ~rhs, ~lhs );
820 }
821 //*************************************************************************************************
822 
823 
824 
825 
826 //=================================================================================================
827 //
828 // GLOBAL RESTRUCTURING BINARY ARITHMETIC OPERATORS
829 //
830 //=================================================================================================
831 
832 //*************************************************************************************************
845 template< typename MT1 // Type of the dense matrix of the left-hand side expression
846  , typename MT2 // Type of the sparse matrix of the left-hand side expression
847  , typename MT3 // Type of the right-hand side dense matrix
848  , bool SO > // Storage order of the right-hand side dense matrix
849 inline decltype(auto)
850  operator+( const TDMatSMatAddExpr<MT1,MT2>& lhs, const DenseMatrix<MT3,SO>& rhs )
851 {
853 
854  return ( lhs.leftOperand() + (~rhs) ) + lhs.rightOperand();
855 }
857 //*************************************************************************************************
858 
859 
860 //*************************************************************************************************
873 template< typename MT1 // Type of the dense matrix of the left-hand side expression
874  , typename MT2 // Type of the sparse matrix of the left-hand side expression
875  , typename MT3 // Type of the right-hand side dense matrix
876  , bool SO > // Storage order of the right-hand side dense matrix
877 inline decltype(auto)
878  operator-( const TDMatSMatAddExpr<MT1,MT2>& lhs, const DenseMatrix<MT3,SO>& rhs )
879 {
881 
882  return ( lhs.leftOperand() - (~rhs) ) + lhs.rightOperand();
883 }
885 //*************************************************************************************************
886 
887 } // namespace blaze
888 
889 #endif
#define BLAZE_THROW_INVALID_ARGUMENT(MESSAGE)
Macro for the emission of a std::invalid_argument exception.This macro encapsulates the default way o...
Definition: Exception.h:235
Header file for auxiliary alias declarations.
const ResultType CompositeType
Data type for composite expression templates.
Definition: TDMatSMatAddExpr.h:141
Header file for the UNUSED_PARAMETER function template.
static constexpr bool simdEnabled
Compilation switch for the expression template evaluation strategy.
Definition: TDMatSMatAddExpr.h:152
bool isSame(const Matrix< MT1, SO1 > &a, const Matrix< MT2, SO2 > &b) noexcept
Returns whether the two given matrices represent the same observable state.
Definition: Matrix.h:992
Header file for basic type definitions.
typename If< Condition, T1, T2 >::Type If_t
Auxiliary alias declaration for the If class template.The If_t alias declaration provides a convenien...
Definition: If.h:109
typename T::ResultType ResultType_t
Alias declaration for nested ResultType type definitions.The ResultType_t alias declaration provides ...
Definition: Aliases.h:390
Header file for the serial shim.
Efficient implementation of a compressed matrix.The CompressedMatrix class template is the represent...
Definition: CompressedMatrix.h:224
#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:61
TDMatSMatAddExpr(const MT1 &lhs, const MT2 &rhs) noexcept
Constructor for the TDMatSMatAddExpr class.
Definition: TDMatSMatAddExpr.h:164
Header file for the IsSame and IsStrictlySame type traits.
size_t columns() const noexcept
Returns the current number of columns of the matrix.
Definition: TDMatSMatAddExpr.h:221
static constexpr bool smpAssignable
Compilation flag for SMP assignments.
Definition: CompressedMatrix.h:3113
Header file for the Computation base class.
Constraints on the storage order of matrix types.
constexpr void UNUSED_PARAMETER(const Args &...)
Suppression of unused parameter warnings.
Definition: Unused.h:81
TransposeType_t< ResultType > TransposeType
Transpose type for expression template evaluations.
Definition: TDMatSMatAddExpr.h:134
typename T::ReturnType ReturnType_t
Alias declaration for nested ReturnType type definitions.The ReturnType_t alias declaration provides ...
Definition: Aliases.h:410
constexpr size_t columns(const Matrix< MT, SO > &matrix) noexcept
Returns the current number of columns of the matrix.
Definition: Matrix.h:514
Base class for dense matrices.The DenseMatrix class is a base class for all dense matrix classes...
Definition: DenseMatrix.h:80
Base class for sparse matrices.The SparseMatrix class is a base class for all sparse matrix classes...
Definition: Forward.h:137
typename T::ElementType ElementType_t
Alias declaration for nested ElementType type definitions.The ElementType_t alias declaration provide...
Definition: Aliases.h:170
LeftOperand lhs_
Left-hand side dense matrix of the addition expression.
Definition: TDMatSMatAddExpr.h:273
ElementType_t< ResultType > ElementType
Resulting element type.
Definition: TDMatSMatAddExpr.h:135
Constraint on the data type.
Constraint on the data type.
static constexpr bool smpAssignable
Compilation switch for the expression template assignment strategy.
Definition: TDMatSMatAddExpr.h:155
ResultType_t< MT1 > RT1
Result type of the left-hand side dense matrix expression.
Definition: TDMatSMatAddExpr.h:97
Header file for the DisableIf class template.
Header file for the IsTemporary type trait class.
Namespace of the Blaze C++ math library.
Definition: Blaze.h:58
Header file for the If class template.
#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: ColumnMajorMatrix.h:61
const If_t< returnExpr, ExprReturnType, ElementType > ReturnType
Return type for expression template evaluations.
Definition: TDMatSMatAddExpr.h:138
RightOperand rhs_
Right-hand side sparse matrix of the addition expression.
Definition: TDMatSMatAddExpr.h:274
#define BLAZE_THROW_OUT_OF_RANGE(MESSAGE)
Macro for the emission of a std::out_of_range exception.This macro encapsulates the default way of Bl...
Definition: Exception.h:331
Header file for the DenseMatrix base class.
Header file for the IsOperation type trait class.
ReturnType at(size_t i, size_t j) const
Checked access to the matrix elements.
Definition: TDMatSMatAddExpr.h:195
typename AddTrait< T1, T2 >::Type AddTrait_t
Auxiliary alias declaration for the AddTrait class template.The AddTrait_t alias declaration provides...
Definition: AddTrait.h:238
AddTrait_t< RT1, RT2 > ResultType
Result type for expression template evaluations.
Definition: TDMatSMatAddExpr.h:132
RightOperand rightOperand() const noexcept
Returns the right-hand side sparse matrix operand.
Definition: TDMatSMatAddExpr.h:241
static constexpr bool returnExpr
Compilation switch for the selection of the subscript operator return type.
Definition: TDMatSMatAddExpr.h:110
Constraints on the storage order of matrix types.
Header file for the exception macros of the math module.
#define BLAZE_CONSTRAINT_MUST_FORM_VALID_MATMATADDEXPR(T1, T2)
Constraint on the data type.In case the given data types T1 and T2 do not form a valid matrix/matrix ...
Definition: MatMatAddExpr.h:103
Constraint on the data type.
Header file for all forward declarations for expression class templates.
ResultType_t< MT2 > RT2
Result type of the right-hand side sparse matrix expression.
Definition: TDMatSMatAddExpr.h:98
bool isAliased(const T *alias) const noexcept
Returns whether the expression is aliased with the given address alias.
Definition: TDMatSMatAddExpr.h:266
Header file for the EnableIf class template.
size_t rows() const noexcept
Returns the current number of rows of the matrix.
Definition: TDMatSMatAddExpr.h:211
LeftOperand leftOperand() const noexcept
Returns the left-hand side transpose dense matrix operand.
Definition: TDMatSMatAddExpr.h:231
typename T::OppositeType OppositeType_t
Alias declaration for nested OppositeType type definitions.The OppositeType_t alias declaration provi...
Definition: Aliases.h:270
decltype(std::declval< RN1 >()+std::declval< RN2 >()) ExprReturnType
Expression return type for the subscript operator.
Definition: TDMatSMatAddExpr.h:113
#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: RowMajorMatrix.h:61
typename T::TransposeType TransposeType_t
Alias declaration for nested TransposeType type definitions.The TransposeType_t alias declaration pro...
Definition: Aliases.h:470
ReturnType_t< MT2 > RN2
Return type of the right-hand side sparse matrix expression.
Definition: TDMatSMatAddExpr.h:100
Header file for run time assertion macros.
bool canAlias(const T *alias) const noexcept
Returns whether the expression can alias with the given address alias.
Definition: TDMatSMatAddExpr.h:253
Header file for the addition trait.
auto smpAddAssign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs) -> EnableIf_t< IsDenseMatrix_v< MT1 > >
Default implementation of the SMP addition assignment of a matrix to a dense matrix.
Definition: DenseMatrix.h:131
Constraint on the data type.
Header file for the IsZero type trait.
#define BLAZE_FUNCTION_TRACE
Function trace macro.This macro can be used to reliably trace function calls. In case function tracin...
Definition: FunctionTrace.h:94
auto smpAssign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs) -> EnableIf_t< IsDenseMatrix_v< MT1 > >
Default implementation of the SMP assignment of a matrix to a dense matrix.
Definition: DenseMatrix.h:100
Constraints on the storage order of matrix types.
decltype(auto) serial(const DenseMatrix< MT, SO > &dm)
Forces the serial evaluation of the given dense matrix expression dm.
Definition: DMatSerialExpr.h:808
#define BLAZE_CONSTRAINT_MUST_NOT_REQUIRE_EVALUATION(T)
Constraint on the data type.In case the given data type T requires an intermediate evaluation within ...
Definition: RequiresEvaluation.h:81
Header file for the MatMatAddExpr base class.
auto smpSchurAssign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs) -> EnableIf_t< IsDenseMatrix_v< MT1 > >
Default implementation of the SMP Schur product assignment of a matrix to dense matrix.
Definition: DenseMatrix.h:194
constexpr size_t rows(const Matrix< MT, SO > &matrix) noexcept
Returns the current number of rows of the matrix.
Definition: Matrix.h:498
#define BLAZE_CONSTRAINT_MATRICES_MUST_HAVE_SAME_STORAGE_ORDER(T1, T2)
Constraint on the data type.In case either of the two given data types T1 or T2 is not a matrix type ...
Definition: StorageOrder.h:84
If_t< IsExpression_v< MT1 >, const MT1, const MT1 &> LeftOperand
Composite type of the left-hand side dense matrix expression.
Definition: TDMatSMatAddExpr.h:144
ReturnType operator()(size_t i, size_t j) const
2D-access to the matrix elements.
Definition: TDMatSMatAddExpr.h:180
OppositeType_t< ResultType > OppositeType
Result type with opposite storage order for expression template evaluations.
Definition: TDMatSMatAddExpr.h:133
auto smpSubAssign(Matrix< MT1, SO1 > &lhs, const Matrix< MT2, SO2 > &rhs) -> EnableIf_t< IsDenseMatrix_v< MT1 > >
Default implementation of the SMP subtraction assignment of a matrix to dense matrix.
Definition: DenseMatrix.h:162
Expression object for dense matrix-sparse matrix additions.The TDMatSMatAddExpr class represents the ...
Definition: Forward.h:159
Header file for the IntegralConstant class template.
ReturnType_t< MT1 > RN1
Return type of the left-hand side dense matrix expression.
Definition: TDMatSMatAddExpr.h:99
If_t< IsExpression_v< MT2 >, const MT2, const MT2 &> RightOperand
Composite type of the right-hand side sparse matrix expression.
Definition: TDMatSMatAddExpr.h:147
#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:61
Header file for the IsExpression type trait class.
Header file for the function trace functionality.