EILeafNode.m

classdef EILeafNode < Greedy.DataTree.Detailed.ILeafNode
  % detailed data node implementation storing a collateral reduced basis space
  % and interpolation DOFs

  properties
    % a unique identifier for the parameterized function or operator
    id;

    % the collateral reduced basis functions `q_m`
    QM;

    % the interpolation DOFs `\tau^{EI}_m`
    TM;

    % the interpolation matrix `{\bf B}`
    BM;

    % nodal basis functions `\xi_m`
    XI;

    % an object of type ILocalizedOperator for which the empirical
    % interpolation basis was generated.
    ophandle = [];
  end

  properties (SetAccess = private, Dependent)
    % dimension of the collateral reduced basis space
    M;
  end

  methods
    function eidd = EILeafNode(ei_plugin, model_data)
      % function eidd = EILeafNode(eidetailed, model_data)
      % constructor initializing the empirical interpolation data node
      %
      % Parameters:
      %   ei_plugin: the plugin object of type Greedy.Plugin.EI creating this
      %              detailed data data node
      eidd          = eidd@Greedy.DataTree.Detailed.ILeafNode(model_data);
      eidd.id       = ei_plugin.id;
      eidd.ophandle = ei_plugin.generator.ophandle;
    end

    function [ot1, ot2, ot3] = offtime(this, rmodel)
      % returns different offline time measurements

%      dmodel = rbmodel.detailed_model;
%      eigen = SnapshotsGenerator.SpaceOpEvals(dmodel);

%      Mspace = info.M_train;
%      ot1 = 0;
%      for muind = 1:size(Mspace, 1)
%        set_mu( dmodel, Mspace(mu_ind,:) );
%        [LU, tt] = generate(eigen, dmodel, this);
%        ot1 = ot1 + tt;
%      end

      ot1 = 0;
      ot2 = this.info.elapsed_time;
      ot3 = 0;
    end

    function M = get.M(this)
      M = size(this.QM, 2);
    end

    function siz = get_ei_size(this)
      siz = size(this.QM, 2);
    end

    function siz = get_rb_size(this)
      siz = 0;
    end

  end

end