Reference documentation for deal.II version 8.4.1

#include <deal.II/base/tensor_function.h>
Public Types  
typedef Tensor< rank, dim, Number >  value_type 
Public Member Functions  
TensorFunction (const Number initial_time=Number(0.0))  
virtual  ~TensorFunction () 
virtual value_type  value (const Point< dim > &p) const 
virtual void  value_list (const std::vector< Point< dim > > &points, std::vector< value_type > &values) const 
virtual gradient_type  gradient (const Point< dim > &p) const 
virtual void  gradient_list (const std::vector< Point< dim > > &points, std::vector< gradient_type > &gradients) const 
Public Member Functions inherited from FunctionTime< Number >  
FunctionTime (const Number initial_time=Number(0.0))  
virtual  ~FunctionTime () 
Number  get_time () const 
virtual void  set_time (const Number new_time) 
virtual void  advance_time (const Number delta_t) 
Public Member Functions inherited from Subscriptor  
Subscriptor ()  
Subscriptor (const Subscriptor &)  
virtual  ~Subscriptor () 
Subscriptor &  operator= (const Subscriptor &) 
void  subscribe (const char *identifier=0) const 
void  unsubscribe (const char *identifier=0) const 
unsigned int  n_subscriptions () const 
void  list_subscribers () const 
DeclException3 (ExcInUse, int, char *, std::string &,<< "Object of class "<< arg2<< " is still used by "<< arg1<< " other objects."<< "\n\n"<< "(Additional information: "<< arg3<< ")\n\n"<< "See the entry in the Frequently Asked Questions of "<< "deal.II (linked to from http://www.dealii.org/) for "<< "a lot more information on what this error means and "<< "how to fix programs in which it happens.")  
DeclException2 (ExcNoSubscriber, char *, char *,<< "No subscriber with identifier <"<< arg2<< "> subscribes to this object of class "<< arg1<< ". Consequently, it cannot be unsubscribed.")  
template<class Archive >  
void  serialize (Archive &ar, const unsigned int version) 
This class is a model for a tensor valued function. The interface of the class is mostly the same as that for the Function class, with the exception that it does not support vectorvalued functions with several components, but that the return type is always tensorvalued. The returned values of the evaluation of objects of this type are always whole tensors, while for the Function
class, one can ask for a specific component only, or use the vector_value
function, which however does not return the value, but rather writes it into the address provided by its second argument. The reason for the different behaviour of the classes is that in the case of tensor valued functions, the size of the argument is known to the compiler a priori, such that the correct amount of memory can be allocated on the stack for the return value; on the other hand, for the vector valued functions, the size is not known to the compiler, so memory has to be allocated on the heap, resulting in relatively expensive copy operations. One can therefore consider this class a specialization of the Function
class for which the size is known. An additional benefit is that tensors of arbitrary rank can be returned, not only vectors, as for them the size can be determined similarly simply.
Definition at line 35 of file function.h.
typedef Tensor<rank,dim,Number> TensorFunction< rank, dim, Number >::value_type 
Define typedefs for the return types of the value
functions.
Definition at line 63 of file tensor_function.h.
TensorFunction< rank, dim, Number >::TensorFunction  (  const Number  initial_time = Number(0.0)  ) 
Constructor. May take an initial value for the time variable, which defaults to zero.

virtual 
Virtual destructor; absolutely necessary in this case, as classes are usually not used by their true type, but rather through pointers to this base class.

virtual 
Return the value of the function at the given point.
Reimplemented in ConstantTensorFunction< rank, dim, Number >.

virtual 
Set values
to the point values of the function at the points
. It is assumed that values
already has the right size, i.e. the same size as the points
array.

virtual 
Return the gradient of the function at the given point.
Reimplemented in ConstantTensorFunction< rank, dim, Number >.

virtual 
Set gradients
to the gradients of the function at the points
. It is assumed that values
already has the right size, i.e. the same size as the points
array.