/home/runner/work/DiFfRG_current/DiFfRG_current/DiFfRG/include/DiFfRG/timestepping/implicit_euler.hh Source File#
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DiFfRG
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implicit_euler.hh
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A class to set up initial data for whatever discretization we have chosen. Also used to switch/manage...
Definition abstract_data.hh:18
The abstract base class for all timestepping algorithms. It provides a standard constructor which pop...
Definition abstract_timestepper.hh:46
dealii::BlockVector< NumberType > BlockVectorType
Definition abstract_timestepper.hh:54
int verbosity
Definition abstract_timestepper.hh:144
AbstractAssembler< VectorType, SparseMatrixType, dim > * assembler
Definition abstract_timestepper.hh:134
struct DiFfRG::AbstractTimestepper::ExplicitParameters expl
void console_out(const double t, const std::string name, const int verbosity_level, const double calc_dt_ms=-1.0) const
Definition abstract_timestepper.hh:170
DataOutput< dim, VectorType > * data_out
Definition abstract_timestepper.hh:135
AbstractAdaptor< VectorType > * adaptor
Definition abstract_timestepper.hh:136
typename get_type::NumberType< VectorType > NumberType
Definition abstract_timestepper.hh:50
typename get_type::InverseSparseMatrixType< SparseMatrixType > InverseSparseMatrixType
Definition abstract_timestepper.hh:52
const JSONValue json
Definition abstract_timestepper.hh:133
struct DiFfRG::AbstractTimestepper::ImplicitParameters impl
double output_dt
Definition abstract_timestepper.hh:145
Definition implicit_euler.hh:17
typename Base::InverseSparseMatrixType InverseSparseMatrixType
Definition implicit_euler.hh:22
typename Base::BlockVectorType BlockVectorType
Definition implicit_euler.hh:23
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.
typename Base::NumberType NumberType
Definition implicit_euler.hh:21
Definition complex_math.hh:10
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