C++ InArgs::get_x方法代码示例

// Evaluate model on InArgs
void trilinosModelEvaluator::evalModel(const InArgs& inArgs, const OutArgs& outArgs) const{

  //double nrm;
  // Get the solution vector x from inArgs and residual vector from outArgs
  RCP<const Epetra_Vector> x = inArgs.get_x();
  RCP<Epetra_Vector> f = outArgs.get_f();
  
  if (x == Teuchos::null) throw "trilinosModelEvaluator::evalModel: x was NOT specified!";

  // Save the current solution, which makes it initial guess for next nonlienar solve
  *xVec = *x;

  if (f != Teuchos::null) {
    f->PutScalar(0.0);
    calc_F(x->Values(), f->Values(), N, blackbox_res);

    //f->Norm2(&nrm);
    //cout << "AGS  Resid norm in eval_model total " << nrm << endl;
  }

  RCP<Epetra_Operator> WPrec = outArgs.get_WPrec();
  if (WPrec != Teuchos::null) {
     //cout << "evalModel called for WPrec -- doing nothing " <<  endl;
  }
}

void Piro::Epetra::MatrixFreeDecorator::evalModel( const InArgs& inArgs,
                                     const OutArgs& outArgs ) const
{
  using Teuchos::RCP;
  using Teuchos::rcp;

  RCP<Epetra_Operator> W_out = outArgs.get_W();

  if (W_out == Teuchos::null) {
    // Just pass through as is: nothing to Decorate
    model->evalModel(inArgs, outArgs);
  }
  else {

    RCP<Piro::Epetra::MatrixFreeOperator> W_mfo =
      Teuchos::rcp_dynamic_cast<Piro::Epetra::MatrixFreeOperator>(W_out);

    TEUCHOS_TEST_FOR_EXCEPTION(W_mfo==Teuchos::null, std::logic_error, 
      "Epetra_Operator sent as W to Piro::Epetra::MatrixFreeDecorator\n" 
      "be of type Piro::Epetra::MatrixFreeOperator");
   
    // Do base case for MatrixFree: set f instead of W
    OutArgs modelOutArgs(outArgs);
    InArgs modelInArgs(inArgs);

    // Store f_out in case it was also requested
    RCP<Epetra_Vector> f_out = outArgs.get_f();

    modelOutArgs.set_f(fBase);
    modelOutArgs.set_W(Teuchos::null);

    //Evaluate the underlying model
    model->evalModel(modelInArgs, modelOutArgs);

    // If f_out was requested, return it.
    if (f_out != Teuchos::null) *f_out = *fBase;

    // Save unperturbed solution (deep copy inArgs, shallow f)
    InArgs clonedInArgs = inArgs;
    for (int l = 0; l < inArgs.Np(); ++l) {
      const RCP<const Epetra_Vector> p_l = inArgs.get_p(l);
      if (nonnull(p_l))
        clonedInArgs.set_p(l, Teuchos::rcp(new Epetra_Vector(*p_l)));
    }
    clonedInArgs.set_x(Teuchos::rcp(new Epetra_Vector(*inArgs.get_x())));

    bool haveXdot = false;
    if (inArgs.supports(IN_ARG_x_dot)) {
      RCP<const Epetra_Vector> xdot = inArgs.get_x_dot();
      if (nonnull(xdot)) {
        clonedInArgs.set_x_dot(Teuchos::rcp(new Epetra_Vector(*inArgs.get_x_dot())));
        haveXdot = true;
      }
    }
    W_mfo->setBase(clonedInArgs, fBase, haveXdot);
  }
}

  TEUCHOS_UNIT_TEST(thyra_model_evaluator, basic)
  {
    using Teuchos::RCP;

    bool parameter_on = true;
    Teuchos::RCP<panzer::FieldManagerBuilder> fmb;  
    Teuchos::RCP<panzer::ResponseLibrary<panzer::Traits> > rLibrary; 
    Teuchos::RCP<panzer::LinearObjFactory<panzer::Traits> > lof;
    Teuchos::RCP<panzer::GlobalData> gd;
  
    buildAssemblyPieces(parameter_on,fmb,rLibrary,gd,lof);

    // Test a transient me
    {
      typedef Thyra::ModelEvaluatorBase MEB;
      typedef Thyra::ModelEvaluatorBase::InArgs<double> InArgs;
      typedef Thyra::ModelEvaluatorBase::OutArgs<double> OutArgs;
      typedef Thyra::VectorBase<double> VectorType;
      typedef Thyra::LinearOpBase<double> OperatorType;
      typedef panzer::ModelEvaluator<double> PME;

      std::vector<Teuchos::RCP<Teuchos::Array<std::string> > > p_names;
      bool build_transient_support = true;
    
      RCP<PME> me = Teuchos::rcp(new PME(fmb,rLibrary,lof,p_names,Teuchos::null,gd,build_transient_support,0.0));

      InArgs in_args = me->createInArgs();
      OutArgs out_args = me->createOutArgs();
      
      TEST_ASSERT(in_args.supports(MEB::IN_ARG_x));
      TEST_ASSERT(in_args.supports(MEB::IN_ARG_x_dot));
      TEST_ASSERT(in_args.supports(MEB::IN_ARG_alpha));
      TEST_ASSERT(in_args.supports(MEB::IN_ARG_beta));
      TEST_ASSERT(out_args.supports(MEB::OUT_ARG_f));
      TEST_ASSERT(out_args.supports(MEB::OUT_ARG_W_op));

      InArgs nomValues = me->getNominalValues();
      RCP<const VectorType> x = nomValues.get_x();
      RCP<VectorType> x_dot = Thyra::createMember(*me->get_x_space());
      Thyra::assign(x_dot.ptr(),0.0);
      in_args.set_x(x);
      in_args.set_x_dot(x_dot);
      in_args.set_alpha(0.0);
      in_args.set_beta(1.0);
      
      RCP<VectorType> f = Thyra::createMember(*me->get_f_space());
      RCP<OperatorType> J_tmp = me->create_W_op();
      out_args.set_f(f);
      out_args.set_W_op(J_tmp);

      me->evalModel(in_args, out_args);
    }
  }

void ExampleApplication1Dfem::evalModel( const InArgs& inArgs, const OutArgs& outArgs ) const
{
  Teuchos::RCP<const Epetra_Vector> x = inArgs.get_x();
  Teuchos::RCP<const Epetra_Vector> xdot = inArgs.get_x_dot();
#ifdef EXAMPLEAPPLICATION_DEBUG
  std::cout << "ExampleApplication1Dfem::evalModel ---------------------------{" << std::endl;
  std::cout << "x = " << std::endl;
  x->Print(std::cout);
  std::cout << "xdot = " << std::endl;
  xdot->Print(std::cout);
#endif // EXAMPLEAPPLICATION_DEBUG
  Teuchos::RCP<Epetra_Vector> f;
  if( (f = outArgs.get_f()).get() ) 
  {
    NOX::Epetra::Interface::Required::FillType flag = NOX::Epetra::Interface::Required::Residual;
    problemInterfacePtr_->evaluate(flag,&*x,&*xdot,0.0,0.0,&*f,NULL);
#ifdef EXAMPLEAPPLICATION_DEBUG
    std::cout << "f = " << std::endl;
    f->Print(std::cout);
#endif // EXAMPLEAPPLICATION_DEBUG
  }
  Teuchos::RCP<Epetra_Operator> W;
  if( (W = outArgs.get_W()).get() ) 
  {
    const double alpha = inArgs.get_alpha();
    const double beta = inArgs.get_beta();
    NOX::Epetra::Interface::Required::FillType flag = NOX::Epetra::Interface::Required::Jac;
//    Epetra_CrsMatrix& jacobian = problemInterfacePtr_->getJacobian();
    Epetra_CrsMatrix& jac = Teuchos::dyn_cast<Epetra_CrsMatrix>(*W);
    problemInterfacePtr_->evaluate(flag,&*x,&*xdot,alpha,beta,NULL,&jac);
#ifdef EXAMPLEAPPLICATION_DEBUG
    std::cout << "jac = " << std::endl;
    jac.Print(std::cout);
#endif // EXAMPLEAPPLICATION_DEBUG
  }
#ifdef EXAMPLEAPPLICATION_DEBUG
  std::cout << "ExampleApplication1Dfem::evalModel ---------------------------}" << std::endl;
#endif // EXAMPLEAPPLICATION_DEBUG
}

void LorenzModel::evalModel( const InArgs& inArgs, const OutArgs& outArgs ) const
{
  const Epetra_Vector &yin = *(inArgs.get_x());
  const double t = inArgs.get_t(); // ignored
#ifdef LORENZMODEL_DEBUG
      std::cout << "----------------------------------------------------------------------" << std::endl;
      std::cout << "LorenzModel::evalModel yin = " << std::endl;
      yin.Print(std::cout);
#endif
  Epetra_Vector &yout = *outArgs.get_f();

  yout[0] = -param0 * yin[0] + param0 * yin[1];
  yout[1] = param1 * yin[0] - yin[1] - yin[0]*yin[2];
  yout[2] = -param2*yin[2] + yin[0]*yin[1];

#ifdef LORENZMODEL_DEBUG
  std::cout << "LorenzModel::evalModel (explicit) f = " << std::endl;
  yout.Print(std::cout);
#endif
#ifdef LORENZMODEL_DEBUG
  std::cout << "----------------------------------------------------------------------" << std::endl;
#endif
}

void
twoD_diffusion_ME::
evalModel(const InArgs& inArgs, const OutArgs& outArgs) const
{

  //
  // Determinisic calculation
  //

  // Solution vector
  Teuchos::RCP<const Epetra_Vector> det_x = inArgs.get_x();

  // Parameters
  Teuchos::RCP<const Epetra_Vector> p = inArgs.get_p(0);
  if (p == Teuchos::null)
    p = p_init;

  Teuchos::RCP<Epetra_Vector> f = outArgs.get_f();
  Teuchos::RCP<Epetra_Operator> W = outArgs.get_W();
  Teuchos::RCP<Epetra_Operator> WPrec = outArgs.get_WPrec();
  if (f != Teuchos::null || W != Teuchos::null || WPrec != Teuchos::null) {
    if (basis != Teuchos::null) {
      for (int i=0; i<point.size(); i++)
        point[i] = (*p)[i];
      basis->evaluateBases(point, basis_vals);
      A->PutScalar(0.0);
      for (int k=0;k<A_k.size();k++)
        EpetraExt::MatrixMatrix::Add((*A_k[k]), false, basis_vals[k], *A, 1.0);
    }
    else {
      *A = *(A_k[0]);
      for (int k=1;k<A_k.size();k++)
        EpetraExt::MatrixMatrix::Add((*A_k[k]), false, (*p)[k-1], *A, 1.0);
    }
    A->FillComplete();
    A->OptimizeStorage();
  }

  // Residual
  if (f != Teuchos::null) {
    Teuchos::RCP<Epetra_Vector> kx = Teuchos::rcp(new Epetra_Vector(*x_map));
    A->Apply(*det_x,*kx);
    f->Update(1.0,*kx,-1.0, *b, 0.0);
  }

  // Jacobian
  if (W != Teuchos::null) {
    Teuchos::RCP<Epetra_CrsMatrix> jac =
      Teuchos::rcp_dynamic_cast<Epetra_CrsMatrix>(W, true);
    *jac = *A;
    jac->FillComplete();
    jac->OptimizeStorage();
  }

  // Preconditioner
  if (WPrec != Teuchos::null)
    precFactory->recompute(A, WPrec);

  // Responses (mean value)
  Teuchos::RCP<Epetra_Vector> g = outArgs.get_g(0);
  if (g != Teuchos::null) {
    (det_x->MeanValue(&(*g)[0]));
    (*g)[0] *= double(det_x->GlobalLength()) / double(mesh.size());
  }

  //
  // Stochastic Galerkin calculation
  //

  // Stochastic solution vector
  InArgs::sg_const_vector_t x_sg = inArgs.get_x_sg();

  // Stochastic parameters
  InArgs::sg_const_vector_t p_sg = inArgs.get_p_sg(0);

  // Stochastic residual
  OutArgs::sg_vector_t f_sg = outArgs.get_f_sg();
  if (f_sg != Teuchos::null) {

    // Get stochastic expansion data
    Teuchos::RCP<Stokhos::OrthogPolyExpansion<int,double> > expn =
      inArgs.get_sg_expansion();
    typedef Stokhos::Sparse3Tensor<int,double> Cijk_type;
    Teuchos::RCP<const Cijk_type> Cijk = expn->getTripleProduct();
    const Teuchos::Array<double>& norms = basis->norm_squared();

    if (sg_kx_vec_all.size() != basis->size()) {
      sg_kx_vec_all.resize(basis->size());
      for (int i=0;i<basis->size();i++) {
        sg_kx_vec_all[i] = Teuchos::rcp(new Epetra_Vector(*x_map));
      }
    }
    f_sg->init(0.0);

    Cijk_type::k_iterator k_begin = Cijk->k_begin();
    Cijk_type::k_iterator k_end = Cijk->k_end();
    for (Cijk_type::k_iterator k_it=k_begin; k_it!=k_end; ++k_it) {
      int k = Stokhos::index(k_it);
      for (Cijk_type::kj_iterator j_it = Cijk->j_begin(k_it);
           j_it != Cijk->j_end(k_it); ++j_it) {
//.........这里部分代码省略.........

void ExampleApplication::evalModel( const InArgs& inArgs, const OutArgs& outArgs ) const
{
  const Epetra_Vector &x = *(inArgs.get_x());
  const double t = inArgs.get_t();
  const Epetra_Vector &lambda = *lambda_ptr_;
#ifdef EXAMPLEAPPLICATION_DEBUG
      std::cout << "----------------------------------------------------------------------" << std::endl;
      std::cout << "ExampleApplication::evalModel x = " << std::endl;
      x.Print(std::cout);
      std::cout << "ExampleApplication::evalModel lambda = " << std::endl;
      lambda.Print(std::cout);
#endif
  int localNumElements = x.MyLength();
  if(implicit_) 
  {
    const Epetra_Vector &x_dot = *inArgs.get_x_dot();
    if(outArgs.get_f().get()) 
    {
      Epetra_Vector &f = *outArgs.get_f();
      for (int i=0 ; i<localNumElements ; ++i)
      {
        f[i] = x_dot[i] - lambda[i]*x[i] - evalR(t,lambda[i],coeff_s_);
      }
#ifdef EXAMPLEAPPLICATION_DEBUG
      std::cout << "ExampleApplication::evalModel (implicit) x_dot = " << std::endl;
      x_dot.Print(std::cout);
      std::cout << "ExampleApplication::evalModel (implicit) f = " << std::endl;
      f.Print(std::cout);
#endif
    }
    Teuchos::RCP<Epetra_Operator> W;
    if( (W = outArgs.get_W()).get() ) {
      const double alpha = inArgs.get_alpha();
      const double beta = inArgs.get_beta();
      Epetra_CrsMatrix &crsW = Teuchos::dyn_cast<Epetra_CrsMatrix>(*W);
      double values[1];
      int indices[1];
      const int IB = epetra_map_ptr_->IndexBase();
      for( int i = 0; i < localNumElements; ++i ) 
      {
        values[0] = alpha - beta*lambda[i];
        indices[0] = i + IB;  // global column
        crsW.ReplaceGlobalValues(i + IB              // GlobalRow
                                 ,1                  // NumEntries
                                 ,values             // Values
                                 ,indices            // Indices
                                          );
      }
#ifdef EXAMPLEAPPLICATION_DEBUG
      std::cout << "ExampleApplication::evalModel (implicit) alpha, beta = " << std::endl;
      std::cout << "alpha = " << alpha << std::endl;
      std::cout << "beta = "  << beta  << std::endl;
      std::cout << "ExampleApplication::evalModel (implicit) W = " << std::endl;
      crsW.Print(std::cout);
#endif
    }
  }
  else 
  {
    Epetra_Vector &f = *outArgs.get_f();
    for (int i=0 ; i<localNumElements ; ++i)
    {
      f[i] = lambda[i]*x[i]+evalR(t,lambda[i],coeff_s_);
    }
#ifdef EXAMPLEAPPLICATION_DEBUG
    std::cout << "ExampleApplication::evalModel (explicit) f = " << std::endl;
    f.Print(std::cout);
#endif
  }
#ifdef EXAMPLEAPPLICATION_DEBUG
  std::cout << "----------------------------------------------------------------------" << std::endl;
#endif
}

void MockModelEval_A::evalModel( const InArgs& inArgs,
                              const OutArgs& outArgs ) const
{

  // Parse InArgs
  RCP<const Epetra_Vector> p_in = inArgs.get_p(0);
  if (!p_in.get()) cout << "ERROR: MockModelEval_A requires p as inargs" << endl;
  //int numParameters = p_in->GlobalLength();

  RCP<const Epetra_Vector> x_in = inArgs.get_x();
  if (!x_in.get()) cout << "ERROR: MockModelEval_A requires x as inargs" << endl;
  int vecLength = x_in->GlobalLength();
  int myVecLength = x_in->MyLength();

  // Parse OutArgs

  RCP<Epetra_Vector> f_out = outArgs.get_f(); 
  RCP<Epetra_Vector> g_out = outArgs.get_g(0); 
  Teuchos::RCP<Epetra_Operator> W_out = outArgs.get_W();
  Teuchos::RCP<Epetra_MultiVector> dfdp_out;
  if (outArgs.Np() > 0)
    dfdp_out = outArgs.get_DfDp(0).getMultiVector();
  RCP<Epetra_MultiVector> dgdp_out;
  dgdp_out = outArgs.get_DgDp(0,0).getMultiVector();
  RCP<Epetra_MultiVector> dgdx_out;
  dgdx_out = outArgs.get_DgDx(0).getMultiVector();

  if (f_out != Teuchos::null) {
    for (int i=0; i<myVecLength; i++) {
      int gid = x_in->Map().GID(i);
      if (gid==0) // x_0^2 = p_0
       (*f_out)[i] = (*x_in)[i] * (*x_in)[i] -  (*p_in)[i];
      else // x^2 = (i+p_1)^2
       (*f_out)[i] = (*x_in)[i] * (*x_in)[i] - (gid + (*p_in)[1])*(gid + (*p_in)[1]);
    }
  }
  if (W_out != Teuchos::null) {
    Teuchos::RCP<Epetra_CrsMatrix> W_out_crs =
      Teuchos::rcp_dynamic_cast<Epetra_CrsMatrix>(W_out, true);
    W_out_crs->PutScalar(0.0);

    double diag=0.0;
    for (int i=0; i<myVecLength; i++) {
      diag = 2.0 * (*x_in)[i];
      W_out_crs->ReplaceMyValues(i, 1, &diag, &i);
    }
  }

  if (dfdp_out != Teuchos::null) {
    dfdp_out->PutScalar(0.0);
    for (int i=0; i<myVecLength; i++) {
      int gid = x_in->Map().GID(i);
      if   (gid==0) (*dfdp_out)[0][i] = -1.0;
      else          (*dfdp_out)[1][i] =  -2.0* (gid + (*p_in)[1]);
    }
  }

  // ObjFn = 0.5*(Sum(x)-Sum(p)-12)^2 + 0.5*(p0-1)^2:  min at 1,3

  double term1, term2;
  x_in->MeanValue(&term1); 
  term1 =  vecLength * term1 - ((*p_in)[0] + (*p_in)[1]) - 12.0;
  term2 = (*p_in)[0] - 1.0;
  
  if (!is_null(g_out)) {
    (*g_out)[0] = 0.5*term1*term1 + 0.5*term2*term2;
  }

  if (dgdx_out != Teuchos::null) {
     dgdx_out->PutScalar(term1);
   }
  if (dgdp_out != Teuchos::null) {
     dgdp_out->PutScalar(0.0);
     (*dgdp_out)[0][0] = -term1 + term2;
     (*dgdp_out)[0][1] = -term1;
   }

  // Modify for time dependent (implicit timeintegration or eigensolves
  // Check if time dependent
  RCP<const Epetra_Vector> x_dot = inArgs.get_x_dot();

  if (x_dot.get()) {
    double alpha =  inArgs.get_alpha();
    double beta  =  inArgs.get_beta();
    if (alpha==0.0 && beta==0.0) {
      cout << "MockModelEval Warning: alpha=beta=0 -- setting beta=1" << endl;
      beta = 1.0;
    }

    if (f_out != Teuchos::null) {
      for (int i=0; i<myVecLength; i++) {
         (*f_out)[i] = -alpha*(*x_dot)[i] + beta * (*f_out)[i];
      }
    }
    if (dfdp_out != Teuchos::null) {
      dfdp_out->Scale(beta);
    }
    if (W_out != Teuchos::null) {
      Teuchos::RCP<Epetra_CrsMatrix> W_out_crs =
        Teuchos::rcp_dynamic_cast<Epetra_CrsMatrix>(W_out, true);
//.........这里部分代码省略.........

void
Albany::ModelEvaluator::evalModel(const InArgs& inArgs,
                                 const OutArgs& outArgs) const
{
  Teuchos::TimeMonitor Timer(*timer); //start timer
  //
  // Get the input arguments
  //
  Teuchos::RCP<const Epetra_Vector> x = inArgs.get_x();
  Teuchos::RCP<const Epetra_Vector> x_dot;
  Teuchos::RCP<const Epetra_Vector> x_dotdot;
  double alpha     = 0.0;
  double omega     = 0.0;
  double beta      = 1.0;
  double curr_time = 0.0;
  x_dot = inArgs.get_x_dot();
  x_dotdot = inArgs.get_x_dotdot();
  if (x_dot != Teuchos::null || x_dotdot != Teuchos::null) {
    alpha = inArgs.get_alpha();
    omega = inArgs.get_omega();
    beta = inArgs.get_beta();
    curr_time  = inArgs.get_t();
  }
  for (int i=0; i<num_param_vecs; i++) {
    Teuchos::RCP<const Epetra_Vector> p = inArgs.get_p(i);
    if (p != Teuchos::null) {
      for (unsigned int j=0; j<sacado_param_vec[i].size(); j++)
        sacado_param_vec[i][j].baseValue = (*p)[j];
    }
  }
  for (int i=0; i<num_dist_param_vecs; i++) {
    Teuchos::RCP<const Epetra_Vector> p = inArgs.get_p(i+num_param_vecs);
    if (p != Teuchos::null) {
      *(distParamLib->get(dist_param_names[i])->vector()) = *p;
    }
  }

  //
  // Get the output arguments
  //
  EpetraExt::ModelEvaluator::Evaluation<Epetra_Vector> f_out = outArgs.get_f();
  Teuchos::RCP<Epetra_Operator> W_out = outArgs.get_W();

  // Cast W to a CrsMatrix, throw an exception if this fails
  Teuchos::RCP<Epetra_CrsMatrix> W_out_crs;

  if (W_out != Teuchos::null)
    W_out_crs = Teuchos::rcp_dynamic_cast<Epetra_CrsMatrix>(W_out, true);

int test_var = 0;
if(test_var != 0){
std::cout << "The current solution length is: " << x->MyLength() << std::endl;
x->Print(std::cout);

}

  // Get preconditioner operator, if requested
  Teuchos::RCP<Epetra_Operator> WPrec_out;
  if (outArgs.supports(OUT_ARG_WPrec)) WPrec_out = outArgs.get_WPrec();

  //
  // Compute the functions
  //
  bool f_already_computed = false;

  // W matrix
  if (W_out != Teuchos::null) {
    app->computeGlobalJacobian(alpha, beta, omega, curr_time, x_dot.get(), x_dotdot.get(),*x,
                               sacado_param_vec, f_out.get(), *W_out_crs);
    f_already_computed=true;
if(test_var != 0){
//std::cout << "The current rhs length is: " << f_out->MyLength() << std::endl;
//f_out->Print(std::cout);
std::cout << "The current Jacobian length is: " << W_out_crs->NumGlobalRows() << std::endl;
W_out_crs->Print(std::cout);
}
  }

  if (WPrec_out != Teuchos::null) {
    app->computeGlobalJacobian(alpha, beta, omega, curr_time, x_dot.get(), x_dotdot.get(), *x,
                               sacado_param_vec, f_out.get(), *Extra_W_crs);
    f_already_computed=true;
if(test_var != 0){
//std::cout << "The current rhs length is: " << f_out->MyLength() << std::endl;
//f_out->Print(std::cout);
std::cout << "The current preconditioner length is: " << Extra_W_crs->NumGlobalRows() << std::endl;
Extra_W_crs->Print(std::cout);
}

    app->computeGlobalPreconditioner(Extra_W_crs, WPrec_out);
  }

  // scalar df/dp
  for (int i=0; i<num_param_vecs; i++) {
    Teuchos::RCP<Epetra_MultiVector> dfdp_out =
      outArgs.get_DfDp(i).getMultiVector();
    if (dfdp_out != Teuchos::null) {
      Teuchos::Array<int> p_indexes =
        outArgs.get_DfDp(i).getDerivativeMultiVector().getParamIndexes();
      Teuchos::RCP<ParamVec> p_vec;
//.........这里部分代码省略.........

void
Albany::ModelEvaluator::evalModel(const InArgs& inArgs,
                                 const OutArgs& outArgs) const
{
  Teuchos::TimeMonitor Timer(*timer); //start timer
  //
  // Get the input arguments
  //
  Teuchos::RCP<const Epetra_Vector> x = inArgs.get_x();
  Teuchos::RCP<const Epetra_Vector> x_dot;
  Teuchos::RCP<const Epetra_Vector> x_dotdot;

  //create comm and node objects for Epetra -> Tpetra conversions
  Teuchos::RCP<const Teuchos::Comm<int> > commT = app->getComm();
  Teuchos::RCP<Epetra_Comm> comm = Albany::createEpetraCommFromTeuchosComm(commT);
  //Create Tpetra copy of x, call it xT
  Teuchos::RCP<const Tpetra_Vector> xT;
  if (x != Teuchos::null)
    xT  = Petra::EpetraVector_To_TpetraVectorConst(*x, commT);

  double alpha     = 0.0;
  double omega     = 0.0;
  double beta      = 1.0;
  double curr_time = 0.0;

  if(num_time_deriv > 0)
    x_dot = inArgs.get_x_dot();
  if(num_time_deriv > 1)
    x_dotdot = inArgs.get_x_dotdot();

  //Declare and create Tpetra copy of x_dot, call it x_dotT
  Teuchos::RCP<const Tpetra_Vector> x_dotT;
  if (Teuchos::nonnull(x_dot))
    x_dotT = Petra::EpetraVector_To_TpetraVectorConst(*x_dot, commT);

  //Declare and create Tpetra copy of x_dotdot, call it x_dotdotT
  Teuchos::RCP<const Tpetra_Vector> x_dotdotT;
  if (Teuchos::nonnull(x_dotdot))
    x_dotdotT = Petra::EpetraVector_To_TpetraVectorConst(*x_dotdot, commT);

  if (Teuchos::nonnull(x_dot)){
    alpha = inArgs.get_alpha();
    beta = inArgs.get_beta();
    curr_time  = inArgs.get_t();
  }
  if (Teuchos::nonnull(x_dotdot)) {
    omega = inArgs.get_omega();
  }

  for (int i=0; i<num_param_vecs; i++) {
    Teuchos::RCP<const Epetra_Vector> p = inArgs.get_p(i);
    if (p != Teuchos::null) {
      for (unsigned int j=0; j<sacado_param_vec[i].size(); j++) {
        sacado_param_vec[i][j].baseValue = (*p)[j];
      }
    }
  }
  for (int i=0; i<num_dist_param_vecs; i++) {
    Teuchos::RCP<const Epetra_Vector> p = inArgs.get_p(i+num_param_vecs);
    //create Tpetra copy of p
    Teuchos::RCP<const Tpetra_Vector> pT;
    if (p != Teuchos::null) {
      pT = Petra::EpetraVector_To_TpetraVectorConst(*p, commT);
      //*(distParamLib->get(dist_param_names[i])->vector()) = *p;
      *(distParamLib->get(dist_param_names[i])->vector()) = *pT;
    }
  }

  //
  // Get the output arguments
  //
  EpetraExt::ModelEvaluator::Evaluation<Epetra_Vector> f_out = outArgs.get_f();
  Teuchos::RCP<Epetra_Operator> W_out = outArgs.get_W();

  // Cast W to a CrsMatrix, throw an exception if this fails
  Teuchos::RCP<Epetra_CrsMatrix> W_out_crs;
#ifdef WRITE_MASS_MATRIX_TO_MM_FILE
  //IK, 7/15/14: adding object to hold mass matrix to be written to matrix market file
  Teuchos::RCP<Epetra_CrsMatrix> Mass;
  //IK, 7/15/14: needed for writing mass matrix out to matrix market file
  EpetraExt::ModelEvaluator::Evaluation<Epetra_Vector> ftmp = outArgs.get_f();
#endif

  if (W_out != Teuchos::null) {
    W_out_crs = Teuchos::rcp_dynamic_cast<Epetra_CrsMatrix>(W_out, true);
#ifdef WRITE_MASS_MATRIX_TO_MM_FILE
    //IK, 7/15/14: adding object to hold mass matrix to be written to matrix market file
    Mass = Teuchos::rcp_dynamic_cast<Epetra_CrsMatrix>(W_out, true);
#endif
  }


int test_var = 0;
if(test_var != 0){
std::cout << "The current solution length is: " << x->MyLength() << std::endl;
x->Print(std::cout);

}

  // Get preconditioner operator, if requested
//.........这里部分代码省略.........

void 
Stokhos::SGQuadModelEvaluator::
evalModel(const InArgs& inArgs, const OutArgs& outArgs) const
{
  // Create underlying inargs
  InArgs me_inargs = me->createInArgs();
  if (me_inargs.supports(IN_ARG_x))
    me_inargs.set_x(inArgs.get_x());
  if (me_inargs.supports(IN_ARG_x_dot))
    me_inargs.set_x_dot(inArgs.get_x_dot());
  if (me_inargs.supports(IN_ARG_alpha))
    me_inargs.set_alpha(inArgs.get_alpha());
  if (me_inargs.supports(IN_ARG_beta))
    me_inargs.set_beta(inArgs.get_beta());
  if (me_inargs.supports(IN_ARG_t))
    me_inargs.set_t(inArgs.get_t());
  for (int i=0; i<num_p; i++)
    me_inargs.set_p(i, inArgs.get_p(i));

  // Create underlying outargs
  OutArgs me_outargs = me->createOutArgs();
  if (me_outargs.supports(OUT_ARG_f))
    me_outargs.set_f(outArgs.get_f());
  if (me_outargs.supports(OUT_ARG_W))
    me_outargs.set_W(outArgs.get_W());
  for (int j=0; j<num_p; j++)
    if (!outArgs.supports(OUT_ARG_DfDp, j).none())
      me_outargs.set_DfDp(j, outArgs.get_DfDp(j));
  for (int i=0; i<num_g; i++) {
    me_outargs.set_g(i, outArgs.get_g(i));
    if (!outArgs.supports(OUT_ARG_DgDx, i).none())
	me_outargs.set_DgDx(i, outArgs.get_DgDx(i));
    if (!outArgs.supports(OUT_ARG_DgDx_dot, i).none())
	me_outargs.set_DgDx(i, outArgs.get_DgDx_dot(i));
    for (int j=0; j<num_p; j++)
      if (!outArgs.supports(OUT_ARG_DgDp, i, j).none())
	me_outargs.set_DgDp(i, j, outArgs.get_DgDp(i,j));
  }

  bool do_quad = false;
  InArgs::sg_const_vector_t x_sg;
  InArgs::sg_const_vector_t x_dot_sg;
  Teuchos::Array<InArgs::sg_const_vector_t> p_sg(num_p);
  OutArgs::sg_vector_t f_sg;
  OutArgs::sg_operator_t W_sg;
  Teuchos::Array<SGDerivative> dfdp_sg(num_p);
  Teuchos::Array<OutArgs::sg_vector_t> g_sg(num_g);
  Teuchos::Array<SGDerivative> dgdx_sg(num_g);
  Teuchos::Array<SGDerivative> dgdx_dot_sg(num_g);
  Teuchos::Array< Teuchos::Array<SGDerivative> > dgdp_sg(num_g);
  TEUCHOS_TEST_FOR_EXCEPTION(inArgs.get_sg_basis() == Teuchos::null, 
		     std::logic_error,
		     "Error!  Stokhos::SGQuadModelEvaluator::evalModel():  " <<
		     "SG basis inArg cannot be null!");
  TEUCHOS_TEST_FOR_EXCEPTION(inArgs.get_sg_quadrature() == Teuchos::null, 
		     std::logic_error,
		     "Error!  Stokhos::SGQuadModelEvaluator::evalModel():  " <<
		     "SG quadrature inArg cannot be null!");
  Teuchos::RCP<const Stokhos::OrthogPolyBasis<int,double> > basis = 
    inArgs.get_sg_basis();
  Teuchos::RCP< const Stokhos::Quadrature<int,double> > quad = 
    inArgs.get_sg_quadrature();
  if (inArgs.supports(IN_ARG_x_sg)) {
    x_sg = inArgs.get_x_sg();
    if (x_sg != Teuchos::null) {
      do_quad = true;
    }
  }
  if (inArgs.supports(IN_ARG_x_dot_sg)) {
    x_dot_sg = inArgs.get_x_dot_sg();
    if (x_dot_sg != Teuchos::null) {
      do_quad = true;
    }
  }
  for (int i=0; i<num_p; i++) {
    p_sg[i] = inArgs.get_p_sg(i);
    if (p_sg[i] != Teuchos::null) {
      do_quad = true;
    }
  }
  if (outArgs.supports(OUT_ARG_f_sg)) {
    f_sg = outArgs.get_f_sg();
    if (f_sg != Teuchos::null)
      f_sg->init(0.0);
  }
  if (outArgs.supports(OUT_ARG_W_sg)) {
    W_sg = outArgs.get_W_sg();
    if (W_sg != Teuchos::null)
      W_sg->init(0.0);
  }
  for (int i=0; i<num_p; i++) {
    if (!outArgs.supports(OUT_ARG_DfDp_sg, i).none()) {
      dfdp_sg[i] = outArgs.get_DfDp_sg(i);
      if (dfdp_sg[i].getMultiVector() != Teuchos::null)
	dfdp_sg[i].getMultiVector()->init(0.0);
      else if (dfdp_sg[i].getLinearOp() != Teuchos::null)
	dfdp_sg[i].getLinearOp()->init(0.0);
    }
  }
      
//.........这里部分代码省略.........

void 
MockModelEval_D::
evalModel(const InArgs& inArgs, const OutArgs& outArgs) const
{
  int proc = comm->MyPID();

  // 
  // Deterministic calculation
  //

  // Parse InArgs
  RCP<const Epetra_Vector> p1_in = inArgs.get_p(0);
  if (p1_in == Teuchos::null)
    p1_in = p1_init;
  RCP<const Epetra_Vector> p2_in = inArgs.get_p(1);
  if (p2_in == Teuchos::null)
    p2_in = p2_init;

  RCP<const Epetra_Vector> x_in = inArgs.get_x();

  // Parse OutArgs
  RCP<Epetra_Vector> f_out = outArgs.get_f(); 
  if (f_out != Teuchos::null) {
    double p = (*p1_in)[0];
    double xi = (*p2_in)[0];
    if (proc == 0) {
      double x = (*x_in)[0];
      (*f_out)[0] = x - p + xi;
    }
  }

  RCP<Epetra_CrsMatrix> W_out = 
    Teuchos::rcp_dynamic_cast<Epetra_CrsMatrix>(outArgs.get_W()); 
  if (W_out != Teuchos::null) {
    if (proc == 0) {
      double val = 1.0;
      int i = 0;
      W_out->ReplaceMyValues(i, 1, &val, &i);
    }
  }

  RCP<Epetra_MultiVector> dfdp1 = outArgs.get_DfDp(0).getMultiVector();
  if (dfdp1 != Teuchos::null) {
    if (proc == 0)
      (*dfdp1)[0][0] = -1.0;
  }
  RCP<Epetra_MultiVector> dfdp2 = outArgs.get_DfDp(1).getMultiVector();
  if (dfdp2 != Teuchos::null) {
    if (proc == 0)
      (*dfdp2)[0][0] = 1.0;
  }

  RCP<Epetra_Vector> g_out = outArgs.get_g(0); 
  if (g_out != Teuchos::null) {
    if (proc == 0) {
      double x = (*x_in)[0];
      (*g_out)[0] = 1.0 / x;
    }
  }
    

  RCP<Epetra_MultiVector> dgdx = outArgs.get_DgDx(0).getMultiVector();
  if (dgdx != Teuchos::null) {
    if (proc == 0) {
      double x = (*x_in)[0];
      (*dgdx)[0][0] = -1.0 / (x*x);
    }
  }

  RCP<Epetra_MultiVector> dgdp1 = outArgs.get_DgDp(0,0).getMultiVector();
  if (dgdp1 != Teuchos::null) {
    if (proc == 0) {
      (*dgdp1)[0][0] = 0.0;
    }
  }
  RCP<Epetra_MultiVector> dgdp2 = outArgs.get_DgDp(0,1).getMultiVector();
  if (dgdp2 != Teuchos::null) {
    if (proc == 0) {
      (*dgdp2)[0][0] = 0.0;
    }
  }

  // 
  // Stochastic calculation
  //

#ifdef Piro_ENABLE_Stokhos
  // Parse InArgs
  RCP<const Stokhos::OrthogPolyBasis<int,double> > basis = 
    inArgs.get_sg_basis();
  RCP<Stokhos::OrthogPolyExpansion<int,double> > expn = 
    inArgs.get_sg_expansion();
  InArgs::sg_const_vector_t x_sg = inArgs.get_x_sg();
  InArgs::sg_const_vector_t p1_sg = inArgs.get_p_sg(0);
  InArgs::sg_const_vector_t p2_sg = inArgs.get_p_sg(1);

  // Parse OutArgs
  OutArgs::sg_vector_t f_sg = outArgs.get_f_sg();
  if (f_sg != Teuchos::null && proc == 0) {
    for (int block=0; block<f_sg->size(); block++) {
//.........这里部分代码省略.........

void EpetraExt::MultiPointModelEvaluator::evalModel( const InArgs& inArgs,
                                            const OutArgs& outArgs ) const
{

  EpetraExt::ModelEvaluator::InArgs  underlyingInArgs  = underlyingME->createInArgs();
  EpetraExt::ModelEvaluator::OutArgs underlyingOutArgs = underlyingME->createOutArgs();

  //temp code for multipoint param q vec
/*
  Teuchos::RefCountPtr<Epetra_Vector> q =
    Teuchos::rcp(new Epetra_Vector(*(underlyingME->get_p_map(1))));
*/

  // Parse InArgs
  Teuchos::RefCountPtr<const Epetra_Vector> p_in = inArgs.get_p(0);
  if (p_in.get()) underlyingInArgs.set_p(0, p_in);

  Teuchos::RefCountPtr<const Epetra_Vector> x_in = inArgs.get_x();
  block_x->Epetra_Vector::operator=(*x_in); //copy into block vector

  // Parse OutArgs
  Teuchos::RefCountPtr<Epetra_Vector> f_out = outArgs.get_f();

  Teuchos::RefCountPtr<Epetra_Operator> W_out = outArgs.get_W();
  Teuchos::RefCountPtr<EpetraExt::BlockCrsMatrix> W_block =
     Teuchos::rcp_dynamic_cast<EpetraExt::BlockCrsMatrix>(W_out);

  Teuchos::RefCountPtr<Epetra_Vector> g_out;
  if (underlyingNg) g_out = outArgs.get_g(0);
  if (g_out.get()) g_out->PutScalar(0.0);

  EpetraExt::ModelEvaluator::Derivative DfDp_out = outArgs.get_DfDp(0);

  EpetraExt::ModelEvaluator::Derivative DgDx_out;
  EpetraExt::ModelEvaluator::Derivative DgDp_out;
  if (underlyingNg) {
    DgDx_out = outArgs.get_DgDx(0);
    DgDp_out = outArgs.get_DgDp(0,0);
    if (!DgDx_out.isEmpty()) DgDx_out.getMultiVector()->PutScalar(0.0);
    if (!DgDp_out.isEmpty()) DgDp_out.getMultiVector()->PutScalar(0.0);
  }

  // For mathcingProblems, g is needed to calc DgDx DgDp, so ask for
  //  g even if it isn't requested.
  bool need_g = g_out.get();
  if (matchingProblem)
    if ( !DgDx_out.isEmpty() || !DgDp_out.isEmpty() ) need_g = true;


  // Begin loop over Points (steps) owned on this proc
  for (int i=0; i < timeStepsOnTimeDomain; i++) {

    // Set MultiPoint parameter vector
    underlyingInArgs.set_p(1, (*q_vec)[i]);

    // Set InArgs
    if(longlong) {
#ifndef EPETRA_NO_64BIT_GLOBAL_INDICES
      block_x->ExtractBlockValues(*split_x, (*rowIndex_LL)[i]);
#endif
    }
    else {
#ifndef EPETRA_NO_32BIT_GLOBAL_INDICES
      block_x->ExtractBlockValues(*split_x, (*rowIndex_int)[i]);
#endif
    }
    underlyingInArgs.set_x(split_x);

    // Set OutArgs
    if (f_out.get()) underlyingOutArgs.set_f(split_f);

    if (need_g) underlyingOutArgs.set_g(0, split_g);

    if (W_out.get()) underlyingOutArgs.set_W(split_W);

    if (!DfDp_out.isEmpty()) underlyingOutArgs.set_DfDp(0, *deriv_DfDp);

    if (!DgDx_out.isEmpty()) underlyingOutArgs.set_DgDx(0, *deriv_DgDx);

    if (!DgDp_out.isEmpty()) underlyingOutArgs.set_DgDp(0, 0, *deriv_DgDp);

    //********Eval Model ********/
    underlyingME->evalModel(underlyingInArgs, underlyingOutArgs);
    //********Eval Model ********/

    // If matchingProblem, modify all g-related quantitites G = 0.5*(g-g*)^2 / g*^2
    if (matchingProblem) {
      if (need_g) {
        double diff = (*split_g)[0] -  (*(*matching_vec)[i])[0];
        double nrmlz = fabs((*(*matching_vec)[i])[0]) + 1.0e-6;
        (*split_g)[0] = 0.5 * diff * diff/(nrmlz*nrmlz);
        if (!DgDx_out.isEmpty()) split_DgDx->Scale(diff/(nrmlz*nrmlz));
        if (!DgDp_out.isEmpty()) split_DgDp->Scale(diff/(nrmlz*nrmlz));
      }
    }

    // Repackage block components into global block matrx/vector/multivector
    if(longlong) {
#ifndef EPETRA_NO_64BIT_GLOBAL_INDICES
      if (f_out.get()) block_f->LoadBlockValues(*split_f, (*rowIndex_LL)[i]);
//.........这里部分代码省略.........

void VanDerPolOscillator::evalModel( const InArgs& inArgs, 
				     const OutArgs& outArgs ) const
{
  // compute f(x)
  Teuchos::RCP<const Epetra_Vector> x = inArgs.get_x();
  Teuchos::RCP<Epetra_Vector> f = outArgs.get_f();
  if ( (x != Teuchos::null) && (f != Teuchos::null) ) {
    evalVField((*x)[0],(*x)[1],(*f)[0],(*f)[1]);
  }

  // compute f([x])
  Teuchos::RCP<const Teuchos::Polynomial<Epetra_Vector> > x_poly = 
    inArgs.get_x_poly();
  Teuchos::RCP<Teuchos::Polynomial<Epetra_Vector> > f_poly = 
    outArgs.get_f_poly();
  if ( (x_poly != Teuchos::null) && (f_poly != Teuchos::null) ) {
    unsigned int d = x_poly->degree();
    Sacado::Tay::Taylor<double> x1(d,0.0);
    Sacado::Tay::Taylor<double> x2(d,0.0);
    Sacado::Tay::Taylor<double> f1(d,0.0);
    Sacado::Tay::Taylor<double> f2(d,0.0);

    for (unsigned int i=0; i<=d; i++) {
      x1.fastAccessCoeff(i) = (*(x_poly->getCoefficient(i)))[0];
      x2.fastAccessCoeff(i) = (*(x_poly->getCoefficient(i)))[1];
    }

    evalVField(x1,x2,f1,f2);

    for (unsigned int i=0; i<=d; i++) {
      (*(f_poly->getCoefficient(i)))[0] = f1.coeff(i);
      (*(f_poly->getCoefficient(i)))[1] = f2.coeff(i);
    }
  }

  // compute W
  Teuchos::RCP<Epetra_Operator> W = outArgs.get_W();
  if (W != Teuchos::null) {
    const double alpha = inArgs.get_alpha();
    const double beta = inArgs.get_beta();
    Epetra_CrsMatrix &crsW = Teuchos::dyn_cast<Epetra_CrsMatrix>(*W);
    const int dim = 2;
    double values_1[2];
    double values_2[2];
    int indices[] = {0,1};

    Sacado::Fad::DFad<double> x1(dim,0,(*x)[0]);
    Sacado::Fad::DFad<double> x2(dim,1,(*x)[1]);
    Sacado::Fad::DFad<double> f1;
    Sacado::Fad::DFad<double> f2;

    evalVField(x1,x2,f1,f2);

    values_1[0] = alpha * f1.fastAccessDx(0) - beta;
    values_1[1] = alpha * f1.fastAccessDx(1);
    values_2[0] = alpha * f2.fastAccessDx(0);
    values_2[0] = alpha * f2.fastAccessDx(1) - beta;
   
    crsW.ReplaceGlobalValues(0,dim,values_1,indices);
    crsW.ReplaceGlobalValues(1,dim,values_2,indices);
  }
}

// ============================================================================
void
Bordered::
eval_mdel(const InArgs &in_args,
          const OutArgs &out_args
        ) const
{
  // First, dissect x_in into vector and bordering.
  const Teuchos::RCP<const Tpetra::Vector<double,int,int>> &x_in = in_args.get_x();
#ifndef NDEBUG
  TEUCHOS_ASSERT(!x_in.is_null());
#endif
  const Teuchos::RCP<Tpetra::Vector<double,int,int>> inner_x_in =
    Teuchos::rcp(new Tpetra::Vector<double,int,int>(*innerModelEval_->get_x_map()));
  double lambda[1];
  nosh::BorderingHelpers::dissect(*x_in, *inner_x_in, lambda);

  // Get i*x. This assumes a particular data layout in x_in.
  Tpetra::Vector<double,int,int> ix(inner_x_in->Map());
  for (int k = 0; k < ix.getMap().NumMyElements()/2; k++) {
    ix[2*k] = - (*x_in)[2*k+1];
    ix[2*k+1] = (*x_in)[2*k];
  }

  // Copy over the args for use in innerModelEval.
  InArgs inner_in_args = in_args;
  inner_in_args.set_x(inner_x_in);

  OutArgs inner_out_args = out_args;

  const Tpetra::Vector<double,int,int> & bordering = ix;

  // Compute F(x).
  const Teuchos::RCP<Tpetra::Vector<double,int,int>> &f_out = out_args.get_f();
  if (!f_out.is_null()) {
    // Create new temporary f_out.
    const Teuchos::RCP<Tpetra::Vector<double,int,int>> inner_f_out =
      Teuchos::rcp(new Tpetra::Vector<double,int,int>(*innerModelEval_->get_f_map()));

    inner_out_args.set_f(inner_f_out);
    innerModelEval_->eval_mdel(inner_in_args, inner_out_args);
    // Add lambda * x0.
    TEUCHOS_ASSERT_EQUALITY(0, inner_f_out->Update(lambda[0], bordering, 1.0));
    // Append <psi0, x> to f_out.
    double r[1];
    TEUCHOS_ASSERT_EQUALITY(0, bordering.Dot(*inner_x_in, r));
    //r = lambda;
    nosh::BorderingHelpers::merge(*inner_f_out, r, *f_out);
  }

  // Compute df/dp.
  const EpetraExt::ModelEvaluator::DerivativeMultiVector &derivMv =
    out_args.get_DfDp(0).getDerivativeMultiVector();
  const Teuchos::RCP<Tpetra::MultiVector<double,int,int>> &dfdp_out =
    derivMv.multi_vector();
  if (!dfdp_out.is_null()) {
    // Create temporary DerivativeMultiVector inner_dfdp_out.
    const int numParams = derivMv.get_paramIndexes().length();
    const Teuchos::RCP<Tpetra::MultiVector<double,int,int>> inner_dfdp_out =
      Teuchos::rcp(new Tpetra::MultiVector<double,int,int>(*innerModelEval_->get_f_map(),
                                          numParams));
    const EpetraExt::ModelEvaluator::DerivativeMultiVector innerDerivMv(inner_dfdp_out,
        derivMv.getOrientation(),
        derivMv.get_paramIndexes());
    inner_out_args.set_DfDp(0, innerDerivMv);
    innerModelEval_->eval_mdel(inner_in_args, inner_out_args);
    // Append last entry and merge into dfdp_out.
    std::vector<double> r(numParams);
    for (int k = 0; k < numParams; k++)
      r[k] = 0.0;
    nosh::BorderingHelpers::merge(*inner_dfdp_out, &r[0], *dfdp_out);
  }

  // Fill Jacobian.
  const Teuchos::RCP<Tpetra::Operator<double,int,int>> & W_out = out_args.get_W();
  if(!W_out.is_null()) {
    const Teuchos::RCP<nosh::BorderedOperator> & borderedW =
      Teuchos::rcp_dynamic_cast<nosh::BorderedOperator>(W_out, true);

    // Fill inner Jacobian.
    inner_out_args.set_W(Teuchos::rcp(borderedW->getInnerOperator()));
    innerModelEval_->eval_mdel(inner_in_args, inner_out_args);

    // Reset bordering.
    borderedW->resetBordering(bordering, bordering, 0.0);
  }

  // Fill preconditioner.
  const Teuchos::RCP<Tpetra::Operator<double,int,int>> & WPrec_out = out_args.get_WPrec();
  if(!WPrec_out.is_null()) {
    const Teuchos::RCP<nosh::BorderedOperator> & borderedPrec =
      Teuchos::rcp_dynamic_cast<nosh::BorderedOperator>(WPrec_out, true);

    // Fill inner preconditioner.
    inner_out_args.set_WPrec(Teuchos::rcp(borderedPrec->getInnerOperator()));
    innerModelEval_->eval_mdel(inner_in_args, inner_out_args);

    // Reset bordering.
    borderedPrec->resetBordering(bordering, bordering, 0.0);
  }
//.........这里部分代码省略.........