deal.II version GIT relicensing-2167-g9622207b8f 2024-11-21 12:40:00+00:00
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Classes | Public Member Functions | Protected Attributes | Private Member Functions | Private Attributes | List of all members
TimeStepping::ExplicitRungeKutta< VectorType > Class Template Reference

#include <deal.II/base/time_stepping.h>

Inheritance diagram for TimeStepping::ExplicitRungeKutta< VectorType >:
Inheritance graph
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Classes

struct  Status
 

Public Member Functions

 ExplicitRungeKutta ()=default
 
 ExplicitRungeKutta (const runge_kutta_method method)
 
void initialize (const runge_kutta_method method) override
 
double evolve_one_time_step (const std::function< VectorType(const double, const VectorType &)> &f, const std::function< VectorType(const double, const double, const VectorType &)> &id_minus_tau_J_inverse, double t, double delta_t, VectorType &y) override
 
double evolve_one_time_step (const std::function< VectorType(const double, const VectorType &)> &f, double t, double delta_t, VectorType &y)
 
const Status & get_status () const override
 
double evolve_one_time_step (std::vector< std::function< VectorType(const double, const VectorType &)> > &F, std::vector< std::function< VectorType(const double, const double, const VectorType &)> > &J_inverse, double t, double delta_t, VectorType &y) override
 

Protected Attributes

unsigned int n_stages
 
std::vector< double > b
 
std::vector< double > c
 
std::vector< std::vector< double > > a
 

Private Member Functions

void compute_stages (const std::function< VectorType(const double, const VectorType &)> &f, const double t, const double delta_t, const VectorType &y, std::vector< VectorType > &f_stages) const
 

Private Attributes

Status status
 

Detailed Description

template<typename VectorType>
class TimeStepping::ExplicitRungeKutta< VectorType >

ExplicitRungeKutta is derived from RungeKutta and implement the explicit methods.

Definition at line 306 of file time_stepping.h.

Constructor & Destructor Documentation

◆ ExplicitRungeKutta() [1/2]

template<typename VectorType >
TimeStepping::ExplicitRungeKutta< VectorType >::ExplicitRungeKutta ( )
default

Default constructor. This constructor creates an object for which you will want to call initialize(runge_kutta_method) before it can be used.

◆ ExplicitRungeKutta() [2/2]

template<typename VectorType >
TimeStepping::ExplicitRungeKutta< VectorType >::ExplicitRungeKutta ( const runge_kutta_method  method)

Constructor. This function calls initialize(runge_kutta_method).

Member Function Documentation

◆ initialize()

template<typename VectorType >
void TimeStepping::ExplicitRungeKutta< VectorType >::initialize ( const runge_kutta_method  method)
overridevirtual

Initialize the explicit Runge-Kutta method.

Implements TimeStepping::RungeKutta< VectorType >.

◆ evolve_one_time_step() [1/3]

template<typename VectorType >
double TimeStepping::ExplicitRungeKutta< VectorType >::evolve_one_time_step ( const std::function< VectorType(const double, const VectorType &)> &  f,
const std::function< VectorType(const double, const double, const VectorType &)> &  id_minus_tau_J_inverse,
double  t,
double  delta_t,
VectorType &  y 
)
overridevirtual

This function is used to advance from time t to t+ delta_t. f is the function \( f(t,y) \) that should be integrated, the input parameters are the time t and the vector y and the output is value of f at this point. id_minus_tau_J_inverse is a function that computes \( inv(I-\tau J)\) where \( I \) is the identity matrix, \( \tau \) is given, and \( J \) is the Jacobian \( \frac{\partial f}{\partial y} \). The input parameter are the time, \( \tau \), and a vector. The output is the value of function at this point. evolve_one_time_step returns the time at the end of the time step.

Note
id_minus_tau_J_inverse is ignored since the method is explicit.

Implements TimeStepping::RungeKutta< VectorType >.

◆ evolve_one_time_step() [2/3]

template<typename VectorType >
double TimeStepping::ExplicitRungeKutta< VectorType >::evolve_one_time_step ( const std::function< VectorType(const double, const VectorType &)> &  f,
double  t,
double  delta_t,
VectorType &  y 
)

This function is used to advance from time t to t+ delta_t. This function is similar to the one derived from RungeKutta, but does not required id_minus_tau_J_inverse because it is not used for explicit methods. evolve_one_time_step returns the time at the end of the time step.

◆ get_status()

template<typename VectorType >
const Status & TimeStepping::ExplicitRungeKutta< VectorType >::get_status ( ) const
overridevirtual

Return the status of the current object.

Implements TimeStepping::TimeStepping< VectorType >.

◆ compute_stages()

template<typename VectorType >
void TimeStepping::ExplicitRungeKutta< VectorType >::compute_stages ( const std::function< VectorType(const double, const VectorType &)> &  f,
const double  t,
const double  delta_t,
const VectorType &  y,
std::vector< VectorType > &  f_stages 
) const
private

Compute the different stages needed.

◆ evolve_one_time_step() [3/3]

template<typename VectorType >
double TimeStepping::RungeKutta< VectorType >::evolve_one_time_step ( std::vector< std::function< VectorType(const double, const VectorType &)> > &  F,
std::vector< std::function< VectorType(const double, const double, const VectorType &)> > &  J_inverse,
double  t,
double  delta_t,
VectorType &  y 
)
overridevirtualinherited

This function is used to advance from time t to t+ delta_t. F is a vector of functions \( f(t,y) \) that should be integrated, the input parameters are the time t and the vector y and the output is value of f at this point. J_inverse is a vector functions that compute the inverse of the Jacobians associated to the implicit problems. The input parameters are the time, \( \tau \), and a vector. The output is the value of function at this point. This function returns the time at the end of the time step. When using Runge-Kutta methods, F and J_inverse can only contain one element.

Implements TimeStepping::TimeStepping< VectorType >.

Member Data Documentation

◆ status

template<typename VectorType >
Status TimeStepping::ExplicitRungeKutta< VectorType >::status
private

Status structure of the object.

Definition at line 399 of file time_stepping.h.

◆ n_stages

template<typename VectorType >
unsigned int TimeStepping::RungeKutta< VectorType >::n_stages
protectedinherited

Number of stages of the Runge-Kutta method.

Definition at line 281 of file time_stepping.h.

◆ b

template<typename VectorType >
std::vector<double> TimeStepping::RungeKutta< VectorType >::b
protectedinherited

Butcher tableau coefficients.

Definition at line 286 of file time_stepping.h.

◆ c

template<typename VectorType >
std::vector<double> TimeStepping::RungeKutta< VectorType >::c
protectedinherited

Butcher tableau coefficients.

Definition at line 291 of file time_stepping.h.

◆ a

template<typename VectorType >
std::vector<std::vector<double> > TimeStepping::RungeKutta< VectorType >::a
protectedinherited

Butcher tableau coefficients.

Definition at line 296 of file time_stepping.h.

The documentation for this class was generated from the following file:
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