DiFfRG
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DiFfRG::TimeStepperImplicitEuler< VectorType, SparseMatrixType, dim, LinearSolver > Class Template Reference

#include <implicit_euler.hh>

Inheritance diagram for DiFfRG::TimeStepperImplicitEuler< VectorType, SparseMatrixType, dim, LinearSolver >:
DiFfRG::AbstractTimestepper< VectorType, SparseMatrixType, dim >

Public Types

using NumberType = typename Base::NumberType
 
using InverseSparseMatrixType = typename Base::InverseSparseMatrixType
 
using BlockVectorType = typename Base::BlockVectorType
 

Public Member Functions

virtual void run (AbstractFlowingVariables< NumberType > *initial_condition, const double t_start, const double t_stop) override
 Any derived class must implement this method to run the timestepping algorithm.
 
- Public Member Functions inherited from DiFfRG::AbstractTimestepper< VectorType, SparseMatrixType, dim >
 AbstractTimestepper (const JSONValue &json, AbstractAssembler< VectorType, SparseMatrixType, dim > *assembler, DataOutput< dim, VectorType > *data_out=nullptr, AbstractAdaptor< VectorType > *adaptor=nullptr)
 Construct a new Abstract Timestepper object.
 
DataOutput< dim, VectorType > * get_data_out ()
 Utility function to obtain a DataOutput object. If no DataOutput object is provided, a default one is created.
 
AbstractAdaptor< VectorType > * get_adaptor ()
 Utility function to obtain an Adaptor object. If no Adaptor object is provided, a default one is created, which is the NoAdaptivity object, i.e. no mesh adaptivity is used.
 

Private Types

using Base = AbstractTimestepper<VectorType, SparseMatrixType, dim>
 

Additional Inherited Members

- Protected Types inherited from DiFfRG::AbstractTimestepper< VectorType, SparseMatrixType, dim >
using VectorType
 
using NumberType
 
using SparseMatrixType
 
using InverseSparseMatrixType
 
using BlockVectorType
 
- Protected Member Functions inherited from DiFfRG::AbstractTimestepper< VectorType, SparseMatrixType, dim >
void console_out (const double t, const std::string name, const int verbosity_level, const double calc_dt_ms=-1.0) const
 Pretty-print the status of the timestepping algorithm to the console.
 
- Protected Attributes inherited from DiFfRG::AbstractTimestepper< VectorType, SparseMatrixType, dim >
const JSONValue json
 
AbstractAssembler< VectorType, SparseMatrixType, dim > * assembler
 
DataOutput< dim, VectorType > * data_out
 
AbstractAdaptor< VectorType > * adaptor
 
const std::chrono::time_point< std::chrono::high_resolution_clock > start_time
 
std::shared_ptr< NoAdaptivity< VectorType > > adaptor_default
 
std::shared_ptr< DataOutput< dim, VectorType > > data_out_default
 
double Lambda
 
int verbosity
 
double output_dt
 
struct DiFfRG::AbstractTimestepper::implicitParameters impl
 
struct DiFfRG::AbstractTimestepper::explicitParameters expl
 
- Static Protected Attributes inherited from DiFfRG::AbstractTimestepper< VectorType, SparseMatrixType, dim >
static constexpr uint dim
 

Member Typedef Documentation

◆ Base

template<typename VectorType , typename SparseMatrixType , uint dim, template< typename, typename > typename LinearSolver>
using DiFfRG::TimeStepperImplicitEuler< VectorType, SparseMatrixType, dim, LinearSolver >::Base = AbstractTimestepper<VectorType, SparseMatrixType, dim>
private

◆ BlockVectorType

template<typename VectorType , typename SparseMatrixType , uint dim, template< typename, typename > typename LinearSolver>
using DiFfRG::TimeStepperImplicitEuler< VectorType, SparseMatrixType, dim, LinearSolver >::BlockVectorType = typename Base::BlockVectorType

◆ InverseSparseMatrixType

template<typename VectorType , typename SparseMatrixType , uint dim, template< typename, typename > typename LinearSolver>
using DiFfRG::TimeStepperImplicitEuler< VectorType, SparseMatrixType, dim, LinearSolver >::InverseSparseMatrixType = typename Base::InverseSparseMatrixType

◆ NumberType

template<typename VectorType , typename SparseMatrixType , uint dim, template< typename, typename > typename LinearSolver>
using DiFfRG::TimeStepperImplicitEuler< VectorType, SparseMatrixType, dim, LinearSolver >::NumberType = typename Base::NumberType

Member Function Documentation

◆ run()

template<typename VectorType , typename SparseMatrixType , uint dim, template< typename, typename > typename LinearSolver>
virtual void DiFfRG::TimeStepperImplicitEuler< VectorType, SparseMatrixType, dim, LinearSolver >::run ( AbstractFlowingVariables< NumberType > * initial_condition,
const double t_start,
const double t_stop )
overridevirtual

Any derived class must implement this method to run the timestepping algorithm.

Parameters
initial_conditionA pointer to a flowing variables object that contains the initial condition.
t_startThe start time of the simulation.
t_stopThe run method will evolve the system from t_start to t_stop.

Implements DiFfRG::AbstractTimestepper< VectorType, SparseMatrixType, dim >.


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