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ExampleTridiagSerialLinearOp.hpp
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41 
42 #ifndef THYRA_EXAMPLE_TRIDIAG_SERIAL_LINEAR_OP_HPP
43 #define THYRA_EXAMPLE_TRIDIAG_SERIAL_LINEAR_OP_HPP
44 
45 #include "Thyra_LinearOpDefaultBase.hpp"
46 #include "Thyra_DefaultSpmdVectorSpace.hpp"
47 #include "Thyra_DetachedVectorView.hpp"
48 #include "Teuchos_Assert.hpp"
49 
50 
78 template<class Scalar>
80 {
81 public:
82 
85 
88  const Thyra::Ordinal dim,
92  )
93  { this->initialize(dim, lower, diag, upper); }
94 
117  const Thyra::Ordinal dim,
121  )
122  {
123  TEUCHOS_TEST_FOR_EXCEPT( dim < 2 );
124  space_ = Thyra::defaultSpmdVectorSpace<Scalar>(dim);
125  lower_ = lower;
126  diag_ = diag;
127  upper_ = upper;
128  }
129 
130 protected:
131 
132  // Overridden from LinearOpBase
133 
136  { return space_; }
137 
140  { return space_; }
141 
143  bool opSupportedImpl(Thyra::EOpTransp M_trans) const
144  { return true; } // This class supports everything!
145 
147  void applyImpl(
148  const Thyra::EOpTransp M_trans,
149  const Thyra::MultiVectorBase<Scalar> &X_in,
151  const Scalar alpha,
152  const Scalar beta
153  ) const;
154 
155 private:
156 
158  Teuchos::Array<Scalar> lower_; // size = dim - 1
159  Teuchos::Array<Scalar> diag_; // size = dim
160  Teuchos::Array<Scalar> upper_; // size = dim - 1
161 
162 }; // end class ExampleTridiagSerialLinearOp
163 
164 
165 template<class Scalar>
167  const Thyra::EOpTransp M_trans,
168  const Thyra::MultiVectorBase<Scalar> &X_in,
170  const Scalar alpha,
171  const Scalar beta
172  ) const
173 {
174 
176  typedef Thyra::Ordinal Ordinal;
177 
178  const Ordinal dim = space_->dim();
179 
180  // Loop over the input columns
181 
182  const Ordinal m = X_in.domain()->dim();
183 
184  for (Ordinal col_j = 0; col_j < m; ++col_j) {
185 
186  // Get access the the elements of column j
187  Thyra::ConstDetachedVectorView<Scalar> x_vec(X_in.col(col_j));
188  Thyra::DetachedVectorView<Scalar> y_vec(Y_inout->col(col_j));
189  const Teuchos::ArrayRCP<const Scalar> x = x_vec.sv().values();
190  const Teuchos::ArrayRCP<Scalar> y = y_vec.sv().values();
191 
192  // Perform y = beta*y (being careful to set y=0 if beta=0 in case y is
193  // uninitialized on input!)
194  if( beta == ST::zero() ) {
195  for( Ordinal k = 0; k < dim; ++k ) y[k] = ST::zero();
196  }
197  else if( beta != ST::one() ) {
198  for( Ordinal k = 0; k < dim; ++k ) y[k] *= beta;
199  }
200 
201  // Perform y = alpha*op(M)*x
202  Ordinal k = 0;
203  if( M_trans == Thyra::NOTRANS ) {
204  y[k] += alpha * ( diag_[k]*x[k] + upper_[k]*x[k+1] ); // First row
205  for( k = 1; k < dim - 1; ++k ) // Middle rows
206  y[k] += alpha * ( lower_[k-1]*x[k-1] + diag_[k]*x[k] + upper_[k]*x[k+1] );
207  y[k] += alpha * ( lower_[k-1]*x[k-1] + diag_[k]*x[k] ); // Last row
208  }
209  else if( M_trans == Thyra::CONJ ) {
210  y[k] += alpha * ( ST::conjugate(diag_[k])*x[k] + ST::conjugate(upper_[k])*x[k+1] );
211  for( k = 1; k < dim - 1; ++k )
212  y[k] += alpha * ( ST::conjugate(lower_[k-1])*x[k-1]
213  + ST::conjugate(diag_[k])*x[k] + ST::conjugate(upper_[k])*x[k+1] );
214  y[k] += alpha * ( ST::conjugate(lower_[k-1])*x[k-1] + ST::conjugate(diag_[k])*x[k] );
215  }
216  else if( M_trans == Thyra::TRANS ) {
217  y[k] += alpha * ( diag_[k]*x[k] + lower_[k]*x[k+1] );
218  for( k = 1; k < dim - 1; ++k )
219  y[k] += alpha * ( upper_[k-1]*x[k-1] + diag_[k]*x[k] + lower_[k]*x[k+1] );
220  y[k] += alpha * ( upper_[k-1]*x[k-1] + diag_[k]*x[k] );
221  }
222  else if( M_trans == Thyra::CONJTRANS ) {
223  y[k] += alpha * ( ST::conjugate(diag_[k])*x[k] + ST::conjugate(lower_[k])*x[k+1] );
224  for( k = 1; k < dim - 1; ++k )
225  y[k] += alpha * ( ST::conjugate(upper_[k-1])*x[k-1]
226  + ST::conjugate(diag_[k])*x[k] + ST::conjugate(lower_[k])*x[k+1] );
227  y[k] += alpha * ( ST::conjugate(upper_[k-1])*x[k-1] + ST::conjugate(diag_[k])*x[k] );
228  }
229  else {
230  TEUCHOS_TEST_FOR_EXCEPT(true); // Throw exception if we get here!
231  }
232  }
233 
234 }
235 
236 
237 #endif // THYRA_EXAMPLE_TRIDIAG_SERIAL_LINEAR_OP_HPP
ExampleTridiagSerialLinearOp(const Thyra::Ordinal dim, const Teuchos::ArrayView< const Scalar > &lower, const Teuchos::ArrayView< const Scalar > &diag, const Teuchos::ArrayView< const Scalar > &upper)
initialize().
EOpTransp
Enumeration for determining how a linear operator is applied. `*.
void initialize(const Thyra::Ordinal dim, const Teuchos::ArrayView< const Scalar > &lower, const Teuchos::ArrayView< const Scalar > &diag, const Teuchos::ArrayView< const Scalar > &upper)
Teuchos::RCP< const Thyra::VectorSpaceBase< Scalar > > domain() const
void applyImpl(const Thyra::EOpTransp M_trans, const Thyra::MultiVectorBase< Scalar > &X_in, const Teuchos::Ptr< Thyra::MultiVectorBase< Scalar > > &Y_inout, const Scalar alpha, const Scalar beta) const
Use the non-transposed operator.
Node subclass that provides a good default implementation for the describe() function.
Create an explicit non-mutable (const) view of a VectorBase object.
Use the transposed operator with complex-conjugate clements (same as TRANS for real scalar types)...
Use the non-transposed operator with complex-conjugate elements (same as NOTRANS for real scalar type...
Use the transposed operator.
Teuchos::Ordinal Ordinal
Type for the dimension of a vector space. `*.
Interface for a collection of column vectors called a multi-vector.
Create an explicit mutable (non-const) view of a VectorBase object.
RCP< const VectorBase< Scalar > > col(Ordinal j) const
Calls colImpl().
bool opSupportedImpl(Thyra::EOpTransp M_trans) const
ExampleTridiagSerialLinearOp()
Construct to uninitialized.
virtual RCP< const VectorSpaceBase< Scalar > > domain() const =0
Return a smart pointer for the domain space for this operator.
Teuchos::RCP< const Thyra::VectorSpaceBase< Scalar > > range() const
Simple example subclass for serial tridiagonal matrices.
#define TEUCHOS_TEST_FOR_EXCEPT(throw_exception_test)