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// $Id: fe_field_function.h 19894 2009-10-15 22:19:51Z kanschat $
// Version: $Name$
//
// Copyright (C) 2007, 2009 by the deal.II authors
//
// This file is subject to QPL and may not be distributed
// without copyright and license information. Please refer
// to the file deal.II/doc/license.html for the text and
// further information on this license.
//
//---------------------------------------------------------------------------
#ifndef __deal2__fe_function_h
#define __deal2__fe_function_h
#include <base/function.h>
#include <dofs/dof_handler.h>
#include <dofs/dof_accessor.h>
#include <fe/mapping_q1.h>
#include <base/function.h>
#include <base/point.h>
#include <base/tensor.h>
#include <lac/vector.h>
DEAL_II_NAMESPACE_OPEN
namespace Functions
{
/**
* This is an interpolation function for the given dof handler and
* the given solution vector. The points at which this function can
* be evaluated MUST be inside the domain of the dof handler, but
* except from this, no other requirement is given. This function is
* rather slow, as it needs to construct a quadrature object for the
* point (or set of points) where you want to evaluate your finite
* element function. In order to do so, it needs to find out where
* the points lie.
*
* If you know in advance in which cell your points lye, you can
* accelerate things a bit, by calling set_active_cell before
* asking for values or gradients of the function. If you don't do
* this, and your points don't lie in the cell that is currently
* stored, the function GridTools::find_cell_around_point is called
* to find out where the point is. You can specify an optional
* mapping to use when looking for points in the grid. If you don't
* do so, this function uses a Q1 mapping.
*
* Once the FEFieldFunction knows where the points lie, it creates a
* quadrature formula for those points, and calls
* FEValues::get_function_values or FEValues::get_function_grads with
* the given quadrature points.
*
* If you only need the quadrature points but not the values of the
* finite element function (you might want this for the adjoint
* interpolation), you can also use the function @p
* compute_point_locations alone.
*
* An example of how to use this function is the following:
*
* \code
*
* // Generate two triangulations
* Triangulation<dim> tria_1;
* Triangulation<dim> tria_2;
*
* // Read the triangulations from files, or build them up, or get
* // them from some place... Assume that tria_2 is *entirely*
* // included in tria_1
* ...
*
* // Associate a dofhandler and a solution to the first
* // triangulation
* DoFHandler<dim> dh1(tria_1);
* Vector<double> solution_1;
*
* // Do the same with the second
* DoFHandler<dim> dh2;
* Vector<double> solution_2;
*
* // Setup the system, assemble matrices, solve problems and get the
* // nobel prize on the first domain...
* ...
*
* // Now project it to the second domain
* FEFieldFunction<dim> fe_function_1 (dh_1, solution_1);
* VectorTools::project(dh_2, constraints_2, quad, fe_function_1, solution_2);
*
* // Or interpolate it...
* Vector<double> solution_3;
* VectorTools::interpolate(dh_2, fe_function_1, solution_3);
*
* \endcode
*
* The snippet of code above will work assuming that the second
* triangulation is entirely included in the first one.
*
* FEFieldFunction is designed to be an easy way to get the results of
* your computations across different, possibly non matching,
* grids. No knowledge of the location of the points is assumed in
* this class, which makes it rely entirely on the
* GridTools::find_active_cell_around_point utility for its
* job. However the class can be fed an "educated guess" of where the
* points that will be computed actually are by using the
* FEFieldFunction::set_active_cell method, so if you have a smart way to
* tell where your points are, you will save a lot of computational
* time by letting this class know.
*
* An optimization based on a caching mechanism was used by the
* author of this class for the implementation of a Finite Element
* Immersed Boundary Method.
*
* \ingroup functions
*
* \author Luca Heltai, 2006
*
* \todo Add hp functionality
*/
template <int dim,
typename DH=DoFHandler<dim>,
typename VECTOR=Vector<double> >
class FEFieldFunction : public Function<dim>
{
public:
/**
* Construct a vector
* function. A smart pointers
* is stored to the dof
* handler, so you have to make
* sure that it make sense for
* the entire lifetime of this
* object. The number of
* components of this functions
* is equal to the number of
* components of the finite
* element object. If a mapping
* is specified, that is what
* is used to find out where
* the points lay. Otherwise
* the standard Q1 mapping is
* used.
*/
FEFieldFunction (const DH &dh,
const VECTOR &data_vector,
const Mapping<dim> &mapping = StaticMappingQ1<dim>::mapping);
/**
* Set the current cell. If you
* know in advance where your
* points lie, you can tell
* this object by calling this
* function. This will speed
* things up a little.
*/
void set_active_cell(typename DH::active_cell_iterator &newcell);
/**
* Get ONE vector value at the
* given point. It is
* inefficient to use single
* points. If you need more
* than one at a time, use the
* vector_value_list()
* function. For efficiency
* reasons, it is better if all
* the points lie on the same
* cell. This is not mandatory,
* however it does speed things
* up.
*/
virtual void vector_value (const Point<dim> &p,
Vector<double> &values) const;
/**
* Return the value of the
* function at the given
* point. Unless there is only
* one component (i.e. the
* function is scalar), you
* should state the component
* you want to have evaluated;
* it defaults to zero,
* i.e. the first component.
* It is inefficient to use
* single points. If you need
* more than one at a time, use
* the vector_value_list
* function. For efficiency
* reasons, it is better if all
* the points lie on the same
* cell. This is not mandatory,
* however it does speed things
* up.
*/
virtual double value (const Point< dim > & p,
const unsigned int component = 0) const;
/**
* Set @p values to the point
* values of the specified
* component of the function at
* the @p points. It is assumed
* that @p values already has
* the right size, i.e. the
* same size as the points
* array. This is rather
* efficient if all the points
* lie on the same cell. If
* this is not the case, things
* may slow down a bit.
*/
virtual void value_list (const std::vector<Point< dim > > & points,
std::vector< double > &values,
const unsigned int component = 0) const;
/**
* Set @p values to the point
* values of the function at
* the @p points. It is assumed
* that @p values already has
* the right size, i.e. the
* same size as the points
* array. This is rather
* efficient if all the points
* lie on the same cell. If
* this is not the case, things
* may slow down a bit.
*/
virtual void vector_value_list (const std::vector<Point< dim > > & points,
std::vector< Vector<double> > &values) const;
/**
* Return the gradient of all
* components of the function
* at the given point. It is
* inefficient to use single
* points. If you need more
* than one at a time, use the
* vector_value_list
* function. For efficiency
* reasons, it is better if all
* the points lie on the same
* cell. This is not mandatory,
* however it does speed things
* up.
*/
virtual void
vector_gradient (const Point< dim > &p,
std::vector< Tensor< 1, dim > > &gradients) const;
/**
* Return the gradient of the
* specified component of the
* function at the given point.
* It is inefficient to use
* single points. If you need
* more than one at a time, use
* the vector_value_list
* function. For efficiency
* reasons, it is better if all
* the points lie on the same
* cell. This is not mandatory,
* however it does speed things
* up.
*/
virtual Tensor<1,dim> gradient(const Point< dim > &p,
const unsigned int component = 0)const;
/**
* Return the gradient of all
* components of the function
* at all the given points.
* This is rather efficient if
* all the points lie on the
* same cell. If this is not
* the case, things may slow
* down a bit.
*/
virtual void
vector_gradient_list (const std::vector< Point< dim > > &p,
std::vector<
std::vector< Tensor< 1, dim > > > &gradients) const;
/**
* Return the gradient of the
* specified component of the
* function at all the given
* points. This is rather
* efficient if all the points
* lie on the same cell. If
* this is not the case, things
* may slow down a bit.
*/
virtual void
gradient_list (const std::vector< Point< dim > > &p,
std::vector< Tensor< 1, dim > > &gradients,
const unsigned int component=0) const;
/**
* Create quadrature
* rules. This function groups
* the points into blocks that
* live in the same cell, and
* fills up three vectors: @p
* cells, @p qpoints and @p
* maps. The first is a list of
* the cells that contain the
* points, the second is a list
* of quadrature points
* matching each cell of the
* first list, and the third
* contains the index of the
* given quadrature points,
* i.e., @p points[maps[3][4]]
* ends up as the 5th
* quadrature point in the 4th
* cell. This is where
* optimization would
* help. This function returns
* the number of cells that
* contain the given set of
* points.
*/
unsigned int
compute_point_locations(const std::vector<Point<dim> > &points,
std::vector<typename DH::active_cell_iterator > &cells,
std::vector<std::vector<Point<dim> > > &qpoints,
std::vector<std::vector<unsigned int> > &maps) const;
private:
/**
* Pointer to the dof handler.
*/
SmartPointer<const DH,FEFieldFunction<dim, DH, VECTOR> > dh;
/**
* A reference to the actual
* data vector.
*/
const VECTOR & data_vector;
/**
* A reference to the mapping
* being used.
*/
const Mapping<dim> & mapping;
/**
* The current cell in which we
* are evaluating.
*/
mutable typename DH::active_cell_iterator cell;
/**
* Store the number of
* components of this function.
*/
const unsigned int n_components;
};
}
DEAL_II_NAMESPACE_CLOSE
#endif
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