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📄 reducedmodel.h

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// Copyright (C) 2004-2005 Anders Logg.// Licensed under the GNU LGPL Version 2.1.//// First added:  2004-04-04// Last changed: 2005-09-24#ifndef __REDUCED_MODEL_H#define __REDUCED_MODEL_H/*// FIXME: BROKEN#include <dolfin/common/types.h>#include <dolfin/common/Array.h>#include "ODE.h"namespace dolfin{  class Function;  /// ReducedModel represents an averaged ODE of the form  ///  ///     u'(t) = f(u(t),t) + g(u(t),t) on (0,T],  ///           ///     u(0)  = u0,  ///  /// where u(t) is a vector of length N, and where g  /// accounts for the effects of small scales on the  /// averaged solution u.  ///  /// A ReducedModel is automatically created whenever the option  /// "automatic modeling" is set. Note that this does not currently  /// work in combination with the "step" interface of the  /// multi-adaptive solver, i.e., the "solve" interface must be used.  // FIXME: BROKEN    class ReducedModel : public ODE  {  public:        /// Constructor    ReducedModel(ODE& ode);        /// Destructor    ~ReducedModel();    /// The right-hand side, including model    real f(const Vector& u, real t, unsigned int i);    /// Map initial data    real u0(unsigned int i);    /// Map update function    void update(RHS& f, Function& u, real t);    /// Map update function    void update(Solution& u, Adaptivity& adaptivity, real t);    /// Map the save function    void save(Sample& sample);  private:    // The component-specific model    class Model    {    public:            /// Constructor      Model();      /// Destructor      ~Model();      /// Evaluate model      real operator() () const;      /// Return state      bool active() const;      /// Inactivate component      void inactivate();      /// Compute model      void computeModel(Vector& ubar, Vector& fbar, unsigned int i, 			real tau, ODE& ode);    private:      real g;      bool _active;    };    // Compute averages    void computeAverages(RHS& f, Function& u, Vector& fbar, Vector& ubar);    // The given model    ODE& ode;    // The reduced model    Array<Model> g;    // True if model has been reduced    bool reduced;    // Length of running average    real tau;    // Number of samples for running average    unsigned int samples;    // Tolerance for active components    real tol;        // Averages of u and f    //Vector ubar;    //Vector fbar;  };}*/#endif

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