C++ InArgs::set_beta方法代码示例

void ExplicitModelEvaluator<Scalar>::
buildInverseMassMatrix() const
{
  typedef Thyra::ModelEvaluatorBase MEB;
  using Teuchos::RCP;
  using Thyra::createMember;
  
  RCP<const Thyra::ModelEvaluator<Scalar> > me = this->getUnderlyingModel();

  // first allocate space for the mass matrix
  RCP<Thyra::LinearOpBase<Scalar> > mass = me->create_W_op();

  // intialize a zero to get rid of the x-dot 
  if(zero_==Teuchos::null) {
    zero_ = Thyra::createMember(*me->get_x_space());
    Thyra::assign(zero_.ptr(),0.0);
  }
  
  // request only the mass matrix from the physics
  // Model evaluator builds: alpha*u_dot + beta*F(u) = 0
  MEB::InArgs<Scalar>  inArgs  = me->createInArgs();
  inArgs.set_x(createMember(me->get_x_space()));
  inArgs.set_x_dot(zero_);
  inArgs.set_alpha(-1.0);
  inArgs.set_beta(0.0);

  // set the one time beta to ensure dirichlet conditions
  // are correctly included in the mass matrix: do it for
  // both epetra and Tpetra. If a panzer model evaluator has
  // not been passed in...oh well you get what you asked for!
  if(panzerModel_!=Teuchos::null)
    panzerModel_->setOneTimeDirichletBeta(-1.0);
  else if(panzerEpetraModel_!=Teuchos::null)
    panzerEpetraModel_->setOneTimeDirichletBeta(-1.0);

  // set only the mass matrix
  MEB::OutArgs<Scalar> outArgs = me->createOutArgs();
  outArgs.set_W_op(mass);

  // this will fill the mass matrix operator 
  me->evalModel(inArgs,outArgs);

  if(!massLumping_) {
    invMassMatrix_ = Thyra::inverse<Scalar>(*me->get_W_factory(),mass);
  }
  else {
    // build lumped mass matrix (assumes all positive mass entries, does a simple sum)
    Teuchos::RCP<Thyra::VectorBase<Scalar> > ones = Thyra::createMember(*mass->domain());
    Thyra::assign(ones.ptr(),1.0);

    RCP<Thyra::VectorBase<Scalar> > invLumpMass = Thyra::createMember(*mass->range());
    Thyra::apply(*mass,Thyra::NOTRANS,*ones,invLumpMass.ptr());
    Thyra::reciprocal(*invLumpMass,invLumpMass.ptr());

    invMassMatrix_ = Thyra::diagonal(invLumpMass);
  }
}

void ForwardSensitivityExplicitModelEvaluator<Scalar>::computeDerivativeMatrices(
  const Thyra::ModelEvaluatorBase::InArgs<Scalar> &point
  ) const
{
  TEUCHOS_ASSERT( !is_null(stateModel_) );

  typedef Thyra::ModelEvaluatorBase MEB;
  typedef Teuchos::VerboseObjectTempState<MEB> VOTSME;

  Teuchos::RCP<Teuchos::FancyOStream> out = this->getOStream();
  Teuchos::EVerbosityLevel verbLevel = this->getVerbLevel();

  MEB::InArgs<Scalar> inArgs = stateBasePoint_;
  MEB::OutArgs<Scalar> outArgs = stateModel_->createOutArgs();
  
  if (is_null(DfDx_)) {
    DfDx_ = stateModel_->create_W_op();
  }
  if (inArgs.supports(MEB::IN_ARG_beta)) {
    inArgs.set_beta(1.0);
  }
  outArgs.set_W_op(DfDx_);

  if (is_null(DfDp_)) {
    DfDp_ = Thyra::create_DfDp_mv(
      *stateModel_,p_index_,
      MEB::DERIV_MV_BY_COL
      ).getMultiVector();
  }
  outArgs.set_DfDp(
    p_index_,
    MEB::Derivative<Scalar>(DfDp_,MEB::DERIV_MV_BY_COL)
    );
  
  VOTSME stateModel_outputTempState(stateModel_,out,verbLevel);
  stateModel_->evalModel(inArgs,outArgs);
  

}

void DiagonalImplicitRKModelEvaluator<Scalar>::evalModelImpl(
  const Thyra::ModelEvaluatorBase::InArgs<Scalar>& inArgs_stage,
  const Thyra::ModelEvaluatorBase::OutArgs<Scalar>& outArgs_stage
  ) const
{

  typedef ScalarTraits<Scalar> ST;
  typedef Thyra::ModelEvaluatorBase MEB;

  TEUCHOS_TEST_FOR_EXCEPTION( !isInitialized_, std::logic_error,
      "Error!  initializeDIRKModel must be called before evalModel\n"
      );

  TEUCHOS_TEST_FOR_EXCEPTION( !setTimeStepPointCalled_, std::logic_error,
      "Error!  setTimeStepPoint must be called before evalModel"
      );

  TEUCHOS_TEST_FOR_EXCEPTION( currentStage_ == -1, std::logic_error,
      "Error!  setCurrentStage must be called before evalModel"
      );

  THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_GEN_BEGIN(
    "Rythmos::DiagonalImplicitRKModelEvaluator",inArgs_stage,outArgs_stage,daeModel_
    );

  //
  // A) Unwrap the inArgs and outArgs 
  //

  const RCP<const Thyra::VectorBase<Scalar> > x_in = inArgs_stage.get_x();
  const RCP<Thyra::VectorBase<Scalar> > f_out = outArgs_stage.get_f();
  const RCP<Thyra::LinearOpBase<Scalar> > W_op_out = outArgs_stage.get_W_op();

  //
  // B) Assemble f_out and W_op_out for given stage
  //

  MEB::InArgs<Scalar> daeInArgs = daeModel_->createInArgs();
  MEB::OutArgs<Scalar> daeOutArgs = daeModel_->createOutArgs();
  const RCP<Thyra::VectorBase<Scalar> > x_i = createMember(daeModel_->get_x_space());
  daeInArgs.setArgs(basePoint_);
  
  // B.1) Setup the DAE's inArgs for stage f(currentStage_) ...
  V_V(stage_derivatives_->getNonconstVectorBlock(currentStage_).ptr(),*x_in);
  assembleIRKState( currentStage_, dirkButcherTableau_->A(), delta_t_, *x_old_, *stage_derivatives_, outArg(*x_i) );
  daeInArgs.set_x( x_i );
  daeInArgs.set_x_dot( x_in );
  daeInArgs.set_t( t_old_ + dirkButcherTableau_->c()(currentStage_) * delta_t_ );
  daeInArgs.set_alpha(ST::one());
  daeInArgs.set_beta( delta_t_ * dirkButcherTableau_->A()(currentStage_,currentStage_) );

  // B.2) Setup the DAE's outArgs for stage f(i) ...
  if (!is_null(f_out))
    daeOutArgs.set_f( f_out );
  if (!is_null(W_op_out))
    daeOutArgs.set_W_op(W_op_out);

  // B.3) Compute f_out(i) and/or W_op_out ...
  daeModel_->evalModel( daeInArgs, daeOutArgs );
  daeOutArgs.set_f(Teuchos::null);
  daeOutArgs.set_W_op(Teuchos::null);
  
  THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_END();
  
}

void TimeDiscretizedBackwardEulerModelEvaluator<Scalar>::evalModelImpl(
  const Thyra::ModelEvaluatorBase::InArgs<Scalar>& inArgs_bar,
  const Thyra::ModelEvaluatorBase::OutArgs<Scalar>& outArgs_bar
  ) const
{


  using Teuchos::rcp_dynamic_cast;
  typedef ScalarTraits<Scalar> ST;
  typedef Thyra::ModelEvaluatorBase MEB;
  typedef Thyra::VectorBase<Scalar> VB;
  typedef Thyra::ProductVectorBase<Scalar> PVB;
  typedef Thyra::BlockedLinearOpBase<Scalar> BLWB;

/*
  THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_GEN_BEGIN(
    "Rythmos::ImplicitRKModelEvaluator",inArgs_bar,outArgs_bar,daeModel_
    );
*/

  TEST_FOR_EXCEPTION( delta_t_ <= 0.0, std::logic_error,
    "Error, you have not initialized this object correctly!" );

  //
  // A) Unwrap the inArgs and outArgs to get at product vectors and block op
  //

  const RCP<const PVB> x_bar = rcp_dynamic_cast<const PVB>(inArgs_bar.get_x(), true);
  const RCP<PVB> f_bar = rcp_dynamic_cast<PVB>(outArgs_bar.get_f(), true);
  RCP<BLWB> W_op_bar = rcp_dynamic_cast<BLWB>(outArgs_bar.get_W_op(), true);

  //
  // B) Assemble f_bar and W_op_bar by looping over stages
  //

  MEB::InArgs<Scalar> daeInArgs = daeModel_->createInArgs();
  MEB::OutArgs<Scalar> daeOutArgs = daeModel_->createOutArgs();
  const RCP<VB> x_dot_i = createMember(daeModel_->get_x_space());
  daeInArgs.setArgs(initCond_);
  
  Scalar t_i = initTime_; // ToDo: Define t_init!

  const Scalar oneOverDeltaT = 1.0/delta_t_;

  for ( int i = 0; i < numTimeSteps_; ++i ) {

    // B.1) Setup the DAE's inArgs for time step eqn f(i) ...
    const RCP<const Thyra::VectorBase<Scalar> >
      x_i = x_bar->getVectorBlock(i),
      x_im1 = ( i==0 ? initCond_.get_x() : x_bar->getVectorBlock(i-1) );
    V_VmV( x_dot_i.ptr(), *x_i, *x_im1 ); // x_dot_i = 1/dt * ( x[i] - x[i-1] )
    Vt_S( x_dot_i.ptr(), oneOverDeltaT ); // ... 
    daeInArgs.set_x_dot( x_dot_i );
    daeInArgs.set_x( x_i );
    daeInArgs.set_t( t_i );
    daeInArgs.set_alpha( oneOverDeltaT );
    daeInArgs.set_beta( 1.0 );

    // B.2) Setup the DAE's outArgs for f(i) and/or W(i,i) ...
    if (!is_null(f_bar))
      daeOutArgs.set_f( f_bar->getNonconstVectorBlock(i) );
    if (!is_null(W_op_bar))
      daeOutArgs.set_W_op(W_op_bar->getNonconstBlock(i,i).assert_not_null());

    // B.3) Compute f_bar(i) and/or W_op_bar(i,i) ...
    daeModel_->evalModel( daeInArgs, daeOutArgs );
    daeOutArgs.set_f(Teuchos::null);
    daeOutArgs.set_W_op(Teuchos::null);
    
    // B.4) Evaluate W_op_bar(i,i-1)
    if ( !is_null(W_op_bar) && i > 0 ) {
      daeInArgs.set_alpha( -oneOverDeltaT );
      daeInArgs.set_beta( 0.0 );
      daeOutArgs.set_W_op(W_op_bar->getNonconstBlock(i,i-1).assert_not_null());
      daeModel_->evalModel( daeInArgs, daeOutArgs );
      daeOutArgs.set_W_op(Teuchos::null);
    }

    //
    t_i += delta_t_;

  }

/*  
  THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_END();
*/

}

void ImplicitRKModelEvaluator<Scalar>::evalModelImpl(
  const Thyra::ModelEvaluatorBase::InArgs<Scalar>& inArgs_bar,
  const Thyra::ModelEvaluatorBase::OutArgs<Scalar>& outArgs_bar
  ) const
{

  using Teuchos::rcp_dynamic_cast;
  typedef ScalarTraits<Scalar> ST;
  typedef Thyra::ModelEvaluatorBase MEB;
  typedef Thyra::VectorBase<Scalar> VB;
  typedef Thyra::ProductVectorBase<Scalar> PVB;
  typedef Thyra::BlockedLinearOpBase<Scalar> BLWB;

  TEST_FOR_EXCEPTION( !isInitialized_, std::logic_error,
      "Error!  initializeIRKModel must be called before evalModel\n"
      );

  TEST_FOR_EXCEPTION( !setTimeStepPointCalled_, std::logic_error,
      "Error!  setTimeStepPoint must be called before evalModel"
      );

  THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_GEN_BEGIN(
    "Rythmos::ImplicitRKModelEvaluator",inArgs_bar,outArgs_bar,daeModel_
    );

  //
  // A) Unwrap the inArgs and outArgs to get at product vectors and block op
  //

  const RCP<const PVB> x_bar = rcp_dynamic_cast<const PVB>(inArgs_bar.get_x(), true);
  const RCP<PVB> f_bar = rcp_dynamic_cast<PVB>(outArgs_bar.get_f(), true);
  const RCP<BLWB> W_op_bar = rcp_dynamic_cast<BLWB>(outArgs_bar.get_W_op(), true);

  //
  // B) Assemble f_bar and W_op_bar by looping over stages
  //

  MEB::InArgs<Scalar> daeInArgs = daeModel_->createInArgs();
  MEB::OutArgs<Scalar> daeOutArgs = daeModel_->createOutArgs();
  const RCP<VB> x_i = createMember(daeModel_->get_x_space());
  daeInArgs.setArgs(basePoint_);
  
  const int numStages = irkButcherTableau_->numStages();

  for ( int i = 0; i < numStages; ++i ) {

    // B.1) Setup the DAE's inArgs for stage f(i) ...
    assembleIRKState( i, irkButcherTableau_->A(), delta_t_, *x_old_, *x_bar, outArg(*x_i) );
    daeInArgs.set_x( x_i );
    daeInArgs.set_x_dot( x_bar->getVectorBlock(i) );
    daeInArgs.set_t( t_old_ + irkButcherTableau_->c()(i) * delta_t_ );
    Scalar alpha = ST::zero();
    if (i == 0) {
      alpha = ST::one();
    } else {
      alpha = ST::zero();
    }
    Scalar beta = delta_t_ * irkButcherTableau_->A()(i,0);
    daeInArgs.set_alpha( alpha );
    daeInArgs.set_beta( beta );

    // B.2) Setup the DAE's outArgs for stage f(i) ...
    if (!is_null(f_bar))
      daeOutArgs.set_f( f_bar->getNonconstVectorBlock(i) );
    if (!is_null(W_op_bar)) {
      daeOutArgs.set_W_op(W_op_bar->getNonconstBlock(i,0));
    }

    // B.3) Compute f_bar(i) and/or W_op_bar(i,0) ...
    daeModel_->evalModel( daeInArgs, daeOutArgs );
    daeOutArgs.set_f(Teuchos::null);
    daeOutArgs.set_W_op(Teuchos::null);
    
    // B.4) Evaluate the rest of the W_op_bar(i,j=1...numStages-1) ...
    if (!is_null(W_op_bar)) {
      for ( int j = 1; j < numStages; ++j ) {
        alpha = ST::zero();
        if (i == j) {
          alpha = ST::one();
        } else {
          alpha = ST::zero();
        }
        beta = delta_t_ * irkButcherTableau_->A()(i,j);
        daeInArgs.set_alpha( alpha );
        daeInArgs.set_beta( beta );
        daeOutArgs.set_W_op(W_op_bar->getNonconstBlock(i,j));
        daeModel_->evalModel( daeInArgs, daeOutArgs );
        daeOutArgs.set_W_op(Teuchos::null);
      }
    }

  }
  
  THYRA_MODEL_EVALUATOR_DECORATOR_EVAL_MODEL_END();
  
}