C++ ErrorVector::end方法代码示例

void JumpErrorEstimator::estimate_error (const System& system,
                                         ErrorVector& error_per_cell,
                                         const NumericVector<Number>* solution_vector,
                                         bool estimate_parent_error)
{
  START_LOG("estimate_error()", "JumpErrorEstimator");
  /*

    Conventions for assigning the direction of the normal:

    - e & f are global element ids

    Case (1.) Elements are at the same level, e<f
    Compute the flux jump on the face and
    add it as a contribution to error_per_cell[e]
    and error_per_cell[f]

    ----------------------
    |           |          |
    |           |    f     |
    |           |          |
    |    e      |---> n    |
    |           |          |
    |           |          |
    ----------------------


    Case (2.) The neighbor is at a higher level.
    Compute the flux jump on e's face and
    add it as a contribution to error_per_cell[e]
    and error_per_cell[f]

    ----------------------
    |     |     |          |
    |     |  e  |---> n    |
    |     |     |          |
    |-----------|    f     |
    |     |     |          |
    |     |     |          |
    |     |     |          |
    ----------------------
  */

  // The current mesh
  const MeshBase& mesh = system.get_mesh();

  // The number of variables in the system
  const unsigned int n_vars = system.n_vars();

  // The DofMap for this system
  const DofMap& dof_map = system.get_dof_map();

  // Resize the error_per_cell vector to be
  // the number of elements, initialize it to 0.
  error_per_cell.resize (mesh.max_elem_id());
  std::fill (error_per_cell.begin(), error_per_cell.end(), 0.);

  // Declare a vector of floats which is as long as
  // error_per_cell above, and fill with zeros.  This vector will be
  // used to keep track of the number of edges (faces) on each active
  // element which are either:
  // 1) an internal edge
  // 2) an edge on a Neumann boundary for which a boundary condition
  //    function has been specified.
  // The error estimator can be scaled by the number of flux edges (faces)
  // which the element actually has to obtain a more uniform measure
  // of the error.  Use floats instead of ints since in case 2 (above)
  // f gets 1/2 of a flux face contribution from each of his
  // neighbors
  std::vector<float> n_flux_faces;
  if (scale_by_n_flux_faces)
    n_flux_faces.resize(error_per_cell.size(), 0);

  // Prepare current_local_solution to localize a non-standard
  // solution vector if necessary
  if (solution_vector && solution_vector != system.solution.get())
    {
      NumericVector<Number>* newsol =
        const_cast<NumericVector<Number>*>(solution_vector);
      System &sys = const_cast<System&>(system);
      newsol->swap(*sys.solution);
      sys.update();
    }

  fine_context.reset(new FEMContext(system));
  coarse_context.reset(new FEMContext(system));

  // Loop over all the variables we've been requested to find jumps in, to
  // pre-request
  for (var=0; var<n_vars; var++)
    {
      // Possibly skip this variable
      if (error_norm.weight(var) == 0.0) continue;

      // FIXME: Need to generalize this to vector-valued elements. [PB]
      FEBase* side_fe = NULL;

      const std::set<unsigned char>& elem_dims =
        fine_context->elem_dimensions();

//.........这里部分代码省略.........

void ExactErrorEstimator::estimate_error (const System & system,
                                          ErrorVector & error_per_cell,
                                          const NumericVector<Number> * solution_vector,
                                          bool estimate_parent_error)
{
  // Ignore the fact that this variable is unused when !LIBMESH_ENABLE_AMR
  libmesh_ignore(estimate_parent_error);

  // The current mesh
  const MeshBase & mesh = system.get_mesh();

  // The dimensionality of the mesh
  const unsigned int dim = mesh.mesh_dimension();

  // The number of variables in the system
  const unsigned int n_vars = system.n_vars();

  // The DofMap for this system
  const DofMap & dof_map = system.get_dof_map();

  // Resize the error_per_cell vector to be
  // the number of elements, initialize it to 0.
  error_per_cell.resize (mesh.max_elem_id());
  std::fill (error_per_cell.begin(), error_per_cell.end(), 0.);

  // Prepare current_local_solution to localize a non-standard
  // solution vector if necessary
  if (solution_vector && solution_vector != system.solution.get())
    {
      NumericVector<Number> * newsol =
        const_cast<NumericVector<Number> *>(solution_vector);
      System & sys = const_cast<System &>(system);
      newsol->swap(*sys.solution);
      sys.update();
    }

  // Loop over all the variables in the system
  for (unsigned int var=0; var<n_vars; var++)
    {
      // Possibly skip this variable
      if (error_norm.weight(var) == 0.0) continue;

      // The (string) name of this variable
      const std::string & var_name = system.variable_name(var);

      // The type of finite element to use for this variable
      const FEType & fe_type = dof_map.variable_type (var);

      UniquePtr<FEBase> fe (FEBase::build (dim, fe_type));

      // Build an appropriate Gaussian quadrature rule
      UniquePtr<QBase> qrule =
        fe_type.default_quadrature_rule (dim,
                                         _extra_order);

      fe->attach_quadrature_rule (qrule.get());

      // Prepare a global solution and a MeshFunction of the fine system if we need one
      UniquePtr<MeshFunction> fine_values;
      UniquePtr<NumericVector<Number> > fine_soln = NumericVector<Number>::build(system.comm());
      if (_equation_systems_fine)
        {
          const System & fine_system = _equation_systems_fine->get_system(system.name());

          std::vector<Number> global_soln;
          // FIXME - we're assuming that the fine system solution gets
          // used even when a different vector is used for the coarse
          // system
          fine_system.update_global_solution(global_soln);
          fine_soln->init
            (cast_int<numeric_index_type>(global_soln.size()), true,
             SERIAL);
          (*fine_soln) = global_soln;

          fine_values = UniquePtr<MeshFunction>
            (new MeshFunction(*_equation_systems_fine,
                              *fine_soln,
                              fine_system.get_dof_map(),
                              fine_system.variable_number(var_name)));
          fine_values->init();
        } else {
        // Initialize functors if we're using them
        for (unsigned int i=0; i != _exact_values.size(); ++i)
          if (_exact_values[i])
            _exact_values[i]->init();

        for (unsigned int i=0; i != _exact_derivs.size(); ++i)
          if (_exact_derivs[i])
            _exact_derivs[i]->init();

        for (unsigned int i=0; i != _exact_hessians.size(); ++i)
          if (_exact_hessians[i])
            _exact_hessians[i]->init();
      }

      // Request the data we'll need to compute with
      fe->get_JxW();
      fe->get_phi();
      fe->get_dphi();
#ifdef LIBMESH_ENABLE_SECOND_DERIVATIVES
//.........这里部分代码省略.........

void JumpErrorEstimator::estimate_error (const System& system,
					 ErrorVector& error_per_cell,
					 const NumericVector<Number>* solution_vector,
					 bool estimate_parent_error)
{
  START_LOG("estimate_error()", "JumpErrorEstimator");
  /*

  Conventions for assigning the direction of the normal:

  - e & f are global element ids

  Case (1.) Elements are at the same level, e<f
            Compute the flux jump on the face and
	    add it as a contribution to error_per_cell[e]
	    and error_per_cell[f]

                   ----------------------
		  |           |          |
		  |           |    f     |
		  |           |          |
		  |    e      |---> n    |
		  |           |          |
		  |           |          |
                   ----------------------


   Case (2.) The neighbor is at a higher level.
             Compute the flux jump on e's face and
	     add it as a contribution to error_per_cell[e]
	     and error_per_cell[f]

                   ----------------------
		  |     |     |          |
		  |     |  e  |---> n    |
		  |     |     |          |
		  |-----------|    f     |
		  |     |     |          |
		  |     |     |          |
		  |     |     |          |
                   ----------------------
  */

  // The current mesh
  const MeshBase& mesh = system.get_mesh();

  // The dimensionality of the mesh
  const unsigned int dim = mesh.mesh_dimension();

  // The number of variables in the system
  const unsigned int n_vars = system.n_vars();

  // The DofMap for this system
  const DofMap& dof_map = system.get_dof_map();

  // Resize the error_per_cell vector to be
  // the number of elements, initialize it to 0.
  error_per_cell.resize (mesh.max_elem_id());
  std::fill (error_per_cell.begin(), error_per_cell.end(), 0.);

  // Declare a vector of floats which is as long as
  // error_per_cell above, and fill with zeros.  This vector will be
  // used to keep track of the number of edges (faces) on each active
  // element which are either:
  // 1) an internal edge
  // 2) an edge on a Neumann boundary for which a boundary condition
  //    function has been specified.
  // The error estimator can be scaled by the number of flux edges (faces)
  // which the element actually has to obtain a more uniform measure
  // of the error.  Use floats instead of ints since in case 2 (above)
  // f gets 1/2 of a flux face contribution from each of his
  // neighbors
  std::vector<float> n_flux_faces (error_per_cell.size());

  // Prepare current_local_solution to localize a non-standard
  // solution vector if necessary
  if (solution_vector && solution_vector != system.solution.get())
    {
      NumericVector<Number>* newsol =
        const_cast<NumericVector<Number>*>(solution_vector);
      System &sys = const_cast<System&>(system);
      newsol->swap(*sys.solution);
      sys.update();
    }

  // Loop over all the variables in the system
  for (var=0; var<n_vars; var++)
    {
      // Possibly skip this variable
      if (error_norm.weight(var) == 0.0) continue;

      // The type of finite element to use for this variable
      const FEType& fe_type = dof_map.variable_type (var);

      // Finite element objects for the same face from
      // different sides
      fe_fine = FEBase::build (dim, fe_type);
      fe_coarse = FEBase::build (dim, fe_type);

      // Build an appropriate Gaussian quadrature rule
//.........这里部分代码省略.........

void AdjointResidualErrorEstimator::estimate_error (const System & _system,
                                                    ErrorVector & error_per_cell,
                                                    const NumericVector<Number> * solution_vector,
                                                    bool estimate_parent_error)
{
  LOG_SCOPE("estimate_error()", "AdjointResidualErrorEstimator");

  // The current mesh
  const MeshBase & mesh = _system.get_mesh();

  // Resize the error_per_cell vector to be
  // the number of elements, initialize it to 0.
  error_per_cell.resize (mesh.max_elem_id());
  std::fill (error_per_cell.begin(), error_per_cell.end(), 0.);

  // Get the number of variables in the system
  unsigned int n_vars = _system.n_vars();

  // We need to make a map of the pointer to the solution vector
  std::map<const System *, const NumericVector<Number> *>solutionvecs;
  solutionvecs[&_system] = _system.solution.get();

  // Solve the dual problem if we have to
  if (!_system.is_adjoint_already_solved())
    {
      // FIXME - we'll need to change a lot of APIs to make this trick
      // work with a const System...
      System &  system = const_cast<System &>(_system);
      system.adjoint_solve(_qoi_set);
    }

  // Flag to check whether we have not been asked to weight the variable error contributions in any specific manner
  bool error_norm_is_identity = error_norm.is_identity();

  // Create an ErrorMap/ErrorVector to store the primal, dual and total_dual variable errors
  ErrorMap primal_errors_per_cell;
  ErrorMap dual_errors_per_cell;
  ErrorMap total_dual_errors_per_cell;
  // Allocate ErrorVectors to this map if we're going to use it
  if (!error_norm_is_identity)
    for(unsigned int v = 0; v < n_vars; v++)
      {
        primal_errors_per_cell[std::make_pair(&_system, v)] = new ErrorVector;
        dual_errors_per_cell[std::make_pair(&_system, v)] = new ErrorVector;
        total_dual_errors_per_cell[std::make_pair(&_system, v)] = new ErrorVector;
      }
  ErrorVector primal_error_per_cell;
  ErrorVector dual_error_per_cell;
  ErrorVector total_dual_error_per_cell;

  // Have we been asked to weight the variable error contributions in any specific manner
  if(!error_norm_is_identity) // If we do
    {
      // Estimate the primal problem error for each variable
      _primal_error_estimator->estimate_errors
        (_system.get_equation_systems(), primal_errors_per_cell, &solutionvecs, estimate_parent_error);
    }
  else // If not
    {
      // Just get the combined error estimate
      _primal_error_estimator->estimate_error
        (_system, primal_error_per_cell, solution_vector, estimate_parent_error);
    }

  // Sum and weight the dual error estimate based on our QoISet
  for (unsigned int i = 0; i != _system.qoi.size(); ++i)
    {
      if (_qoi_set.has_index(i))
        {
          // Get the weight for the current QoI
          Real error_weight = _qoi_set.weight(i);

          // We need to make a map of the pointer to the adjoint solution vector
          std::map<const System *, const NumericVector<Number> *>adjointsolutionvecs;
          adjointsolutionvecs[&_system] = &_system.get_adjoint_solution(i);

          // Have we been asked to weight the variable error contributions in any specific manner
          if(!error_norm_is_identity) // If we have
            {
              _dual_error_estimator->estimate_errors
                (_system.get_equation_systems(), dual_errors_per_cell, &adjointsolutionvecs,
                 estimate_parent_error);
            }
          else // If not
            {
              // Just get the combined error estimate
              _dual_error_estimator->estimate_error
                (_system, dual_error_per_cell, &(_system.get_adjoint_solution(i)), estimate_parent_error);
            }

          std::size_t error_size;

          // Get the size of the first ErrorMap vector; this will give us the number of elements
          if(!error_norm_is_identity) // If in non default weights case
            {
              error_size = dual_errors_per_cell[std::make_pair(&_system, 0)]->size();
            }
          else // If in the standard default weights case
            {
              error_size = dual_error_per_cell.size();
//.........这里部分代码省略.........