Hybrid Mimetic Mixed method. More...

Classes
class	HArDCore2D::HMM_StefanPME_Transient
	The vector Xh manipulated in the resolution has mixed components, corresponding either to the unknown u or to \(\zeta(u)\), depending on the choice of weight of mass-lumping for the cell/edge unknowns. If no weight is put on the edges (resp. the cells), then the edge (resp. cell) unknowns represent \(\zeta(u)\). Otherwise, they represent u. More...

class	HArDCore2D::StochStefanPME
	The vector Xh manipulated in the resolution has mixed components, corresponding either to the unknown \(u\) or to \(\zeta(e^W u)\), depending on the choice of weight of mass-lumping for the cell/edge unknowns. If no weight is put on the edges (resp. the cells), then the edge (resp. cell) unknowns represent \(\zeta(e^W u)\). Otherwise, they represent u. More...

Typedefs
using	HArDCore2D::HMM_StefanPME_Transient::solution_function_type = std::function< double(const double &, const VectorRd &)>
	type for solution

using	HArDCore2D::HMM_StefanPME_Transient::source_function_type = std::function< double(const double &, const VectorRd &, const Cell *)>
	type for source

using	HArDCore2D::HMM_StefanPME_Transient::grad_function_type = std::function< VectorRd(const double &, const VectorRd &, const Cell *)>
	type for gradient

using	HArDCore2D::HMM_StefanPME_Transient::tensor_function_type = std::function< Eigen::Matrix2d(const double, const double, const Cell *)>
	type for diffusion tensor (does not depend on time)

template<typename T >
using	HArDCore2D::SpatialFunctionType = std::function< T(const VectorRd &)>
	Generic type for function that only depends on spatial coordinate.

template<typename T >
using	HArDCore2D::PiecewiseSpatialFunctionType = std::function< T(const VectorRd &, const Cell *)>
	Generic type for function that depends on space, with formula changing from one cell to the next.

template<typename T >
using	HArDCore2D::TemporalSpatialFunctionType = std::function< T(const double &, const VectorRd &)>
	Generic type for function that depends on space and time.

template<typename T >
using	HArDCore2D::PiecewiseTemporalSpatialFunctionType = std::function< T(const double &, const VectorRd &, const Cell *)>
	Generic type for function that depends on space and time, with formula changing from one cell to the next.

template<typename T >
using	HArDCore2D::EigFunctionType = std::function< T(const size_t &, const size_t &, const VectorRd &)>
	Type for "eigenfunctions" e_i, depending on two indices k,l.

template<typename T >
using	HArDCore2D::DoubleVector = std::vector< std::vector< T > >

using	HArDCore2D::StochStefanPME::solution_function_type = TemporalSpatialFunctionType< double >
	type for solution

using	HArDCore2D::StochStefanPME::source_function_type = PiecewiseSpatialFunctionType< double >
	type for source (at a given fixed time)

using	HArDCore2D::StochStefanPME::grad_function_type = PiecewiseTemporalSpatialFunctionType< VectorRd >
	type for gradient

using	HArDCore2D::StochStefanPME::lapl_function_type = PiecewiseTemporalSpatialFunctionType< double >
	type for laplacian

using	HArDCore2D::StochStefanPME::tensor_function_type = PiecewiseSpatialFunctionType< Eigen::Matrix2d >
	type for diffusion tensor (does not depend on time)

using	HArDCore2D::StochStefanPME::WienerType = SpatialFunctionType< double >
	type for the Wiener process at a fixed time (only variation in space)

using	HArDCore2D::StochStefanPME::GradWienerType = SpatialFunctionType< VectorRd >
	type for gradient of Wiener process

using	HArDCore2D::StochStefanPME::ReactionType = SpatialFunctionType< double >
	Type for reaction term mu^2.

Functions
	HArDCore2D::HMM_StefanPME_Transient::HMM_StefanPME_Transient (HybridCore &hmm, tensor_function_type kappa, source_function_type source, BoundaryConditions BC, solution_function_type exact_solution, grad_function_type grad_exact_solution, TestCaseNonLinearity::nonlinearity_function_type zeta, double weight, std::string solver_type, std::ostream &output=std::cout)
	Constructor of the class.

UVector	HArDCore2D::HMM_StefanPME_Transient::iterate (const double tps, const double dt, const UVector &Xn)
	Execute one time iteration.

Eigen::VectorXd	HArDCore2D::HMM_StefanPME_Transient::apply_nonlinearity (const Eigen::VectorXd &Y, const std::string type) const
	Compute non-linearity on vector (depends if weight=0, weight=1 or weight\in (0,1) )

UVector	HArDCore2D::HMM_StefanPME_Transient::apply_nonlinearity (const UVector &Y, const std::string type) const

double	HArDCore2D::HMM_StefanPME_Transient::L2_MassLumped (const UVector &Xh) const
	Mass-lumped L2 norm of a function given by a vector.

double	HArDCore2D::HMM_StefanPME_Transient::Lp_MassLumped (const UVector &Xh, double p) const
	Mass-lumped Lp norm of a function given by a vector.

double	HArDCore2D::HMM_StefanPME_Transient::EnergyNorm (const UVector &Xh) const
	Discrete energy norm (associated to the diffusion operator)

double	HArDCore2D::HMM_StefanPME_Transient::get_assembly_time () const
	cpu time to assemble the scheme

double	HArDCore2D::HMM_StefanPME_Transient::get_solving_time () const
	cpu time to solve the scheme

double	HArDCore2D::HMM_StefanPME_Transient::get_itime (size_t idx) const
	various intermediate assembly times

double	HArDCore2D::HMM_StefanPME_Transient::get_solving_error () const
	residual after solving the scheme

size_t	HArDCore2D::HMM_StefanPME_Transient::get_nb_newton () const
	number of Newton iterations

Eigen::MatrixXd	HArDCore2D::HMM_StefanPME_Transient::get_MassT (size_t iT) const
	Mass matrix in cell iT.

static double	HArDCore2D::StDev (const Eigen::VectorXd &v)

	HArDCore2D::StochStefanPME::StochStefanPME (HybridCore &hmm, tensor_function_type kappa, TestCaseNonLinearity::nonlinearity_function_type zeta, BoundaryConditions BC, solution_function_type exact_solution, grad_function_type grad_exact_solution, solution_function_type time_der_exact_solution, lapl_function_type minus_Lapl_exact_solution, double weight, std::string solver_type, std::ostream &output=std::cout)
	Constructor of the class.

StochStefanPME::source_function_type	HArDCore2D::StochStefanPME::compute_source (const bool &use_exact_source, const double &t, const WienerType &W, const GradWienerType &grad_W, const WienerType &Delta_exp_W, const ReactionType &mu_squared)
	Compute the source to zero or the exact one based on the selected solution and Wiener process.

std::pair< UVector, size_t >	HArDCore2D::StochStefanPME::iterate (const double tps, const double dt, const UVector &Xn, const UVector &Ih_W, const WienerType &W, const ReactionType &mu_squared, const source_function_type &source)
	Execute one time iteration: return the calculated vector, and the number of Newton iterations.

void	HArDCore2D::StochStefanPME::SetWienerProcess (const int &caseW, const double &t, WienerType &W, UVector &I_W, GradWienerType &grad_W, WienerType &Delta_exp_W, ReactionType &mu_squared, bool verbose=false)
	Set the Wiener process, deterministic case.

void	HArDCore2D::StochStefanPME::SimulateWienerProcess (const double &dt, DoubleVector< double > &Wtime, WienerType &W, const DoubleVector< Eigen::VectorXd > &Ih_eigs, UVector &I_W, GradWienerType &grad_W, WienerType &Delta_exp_W, ReactionType &mu_squared)
	Set the Wiener process, random case.

Eigen::VectorXd	HArDCore2D::StochStefanPME::apply_nonlinearity_eW (const std::string type, const Eigen::VectorXd &Y, const Eigen::VectorXd &I_W) const
	Compute non-linearity and e^W on vector Y (depends if weight=0, weight=1 or weight\in (0,1) )

UVector	HArDCore2D::StochStefanPME::apply_nonlinearity_eW (const std::string type, const UVector &Y, const Eigen::VectorXd &I_W) const

double	HArDCore2D::StochStefanPME::L2_MassLumped (const UVector &Xh) const
	Mass-lumped L2 norm of a function given by a vector.

double	HArDCore2D::StochStefanPME::Lp_MassLumped (const UVector &Xh, double p) const
	Mass-lumped Lp norm of a function given by a vector.

double	HArDCore2D::StochStefanPME::EnergyNorm (const UVector &Xh) const
	Discrete energy norm (associated to the diffusion operator)

double	HArDCore2D::StochStefanPME::Integral (const UVector &Xh) const
	Integral of a function given by a vector.

double	HArDCore2D::StochStefanPME::get_assembly_time () const
	cpu time to assemble the scheme

double	HArDCore2D::StochStefanPME::get_solution_time () const
	cpu time to solve the linear systems

double	HArDCore2D::StochStefanPME::get_itime (size_t idx) const
	various intermediate assembly times

double	HArDCore2D::StochStefanPME::get_solving_error () const
	residual after solving the scheme

Eigen::MatrixXd	HArDCore2D::StochStefanPME::get_MassT (size_t iT) const
	Mass matrix in cell iT.

Variables
static SpatialFunctionType< double >	HArDCore2D::zero_scalar_function = [](const VectorRd & x)->double { return 0.;}
	Zero spatial function.

static const double	HArDCore2D::PI = boost::math::constants::pi<double>()
	Type for vector of vector.

static std::function< double(const size_t &, const size_t &)>	HArDCore2D::mui

static EigFunctionType< double >	HArDCore2D::mui_ei

static EigFunctionType< VectorRd >	HArDCore2D::grad_mui_ei

static EigFunctionType< double >	HArDCore2D::Delta_mui_ei

Detailed Description

Hybrid Mimetic Mixed method.

Typedef Documentation

◆ DoubleVector

template<typename T >

using HArDCore2D::DoubleVector = typedef std::vector<std::vector<T> >

◆ EigFunctionType

template<typename T >

using HArDCore2D::EigFunctionType = typedef std::function<T(const size_t&, const size_t&, const VectorRd&)>

Type for "eigenfunctions" e_i, depending on two indices k,l.

◆ grad_function_type [1/2]

using HArDCore2D::HMM_StefanPME_Transient::grad_function_type = std::function<VectorRd(const double&, const VectorRd&, const Cell*)>

type for gradient

◆ grad_function_type [2/2]

using HArDCore2D::StochStefanPME::grad_function_type = PiecewiseTemporalSpatialFunctionType<VectorRd>

type for gradient

◆ GradWienerType

using HArDCore2D::StochStefanPME::GradWienerType = SpatialFunctionType<VectorRd>

type for gradient of Wiener process

◆ lapl_function_type

using HArDCore2D::StochStefanPME::lapl_function_type = PiecewiseTemporalSpatialFunctionType<double>

type for laplacian

◆ PiecewiseSpatialFunctionType

template<typename T >

using HArDCore2D::PiecewiseSpatialFunctionType = typedef std::function<T(const VectorRd&, const Cell*)>

Generic type for function that depends on space, with formula changing from one cell to the next.

◆ PiecewiseTemporalSpatialFunctionType

template<typename T >

using HArDCore2D::PiecewiseTemporalSpatialFunctionType = typedef std::function<T(const double&, const VectorRd&, const Cell*)>

Generic type for function that depends on space and time, with formula changing from one cell to the next.

◆ ReactionType

using HArDCore2D::StochStefanPME::ReactionType = SpatialFunctionType<double>

Type for reaction term mu^2.

◆ solution_function_type [1/2]

using HArDCore2D::HMM_StefanPME_Transient::solution_function_type = std::function<double(const double&, const VectorRd&)>

type for solution

◆ solution_function_type [2/2]

using HArDCore2D::StochStefanPME::solution_function_type = TemporalSpatialFunctionType<double>

type for solution

◆ source_function_type [1/2]

using HArDCore2D::HMM_StefanPME_Transient::source_function_type = std::function<double(const double&, const VectorRd&, const Cell*)>

type for source

◆ source_function_type [2/2]

using HArDCore2D::StochStefanPME::source_function_type = PiecewiseSpatialFunctionType<double>

type for source (at a given fixed time)

◆ SpatialFunctionType

template<typename T >

using HArDCore2D::SpatialFunctionType = typedef std::function<T(const VectorRd&)>

Generic type for function that only depends on spatial coordinate.

◆ TemporalSpatialFunctionType

template<typename T >

using HArDCore2D::TemporalSpatialFunctionType = typedef std::function<T(const double&, const VectorRd&)>

Generic type for function that depends on space and time.

◆ tensor_function_type [1/2]

using HArDCore2D::HMM_StefanPME_Transient::tensor_function_type = std::function<Eigen::Matrix2d(const double, const double, const Cell*)>

type for diffusion tensor (does not depend on time)

◆ tensor_function_type [2/2]

using HArDCore2D::StochStefanPME::tensor_function_type = PiecewiseSpatialFunctionType<Eigen::Matrix2d>

type for diffusion tensor (does not depend on time)

◆ WienerType

using HArDCore2D::StochStefanPME::WienerType = SpatialFunctionType<double>

type for the Wiener process at a fixed time (only variation in space)

Function Documentation

◆ apply_nonlinearity() [1/2]

Eigen::VectorXd HArDCore2D::HMM_StefanPME_Transient::apply_nonlinearity	(	const Eigen::VectorXd &	Y,
		const std::string	type
	)		const

Compute non-linearity on vector (depends if weight=0, weight=1 or weight\in (0,1) )

◆ apply_nonlinearity() [2/2]

UVector HArDCore2D::HMM_StefanPME_Transient::apply_nonlinearity	(	const UVector &	Y,
		const std::string	type
	)		const

◆ apply_nonlinearity_eW() [1/2]

Eigen::VectorXd HArDCore2D::StochStefanPME::apply_nonlinearity_eW	(	const std::string	type,
		const Eigen::VectorXd &	Y,
		const Eigen::VectorXd &	I_W
	)		const

Compute non-linearity and e^W on vector Y (depends if weight=0, weight=1 or weight\in (0,1) )

◆ apply_nonlinearity_eW() [2/2]

UVector HArDCore2D::StochStefanPME::apply_nonlinearity_eW	(	const std::string	type,
		const UVector &	Y,
		const Eigen::VectorXd &	I_W
	)		const

◆ compute_source()

StochStefanPME::source_function_type HArDCore2D::StochStefanPME::compute_source	(	const bool &	use_exact_source,
		const double &	t,
		const WienerType &	W,
		const GradWienerType &	grad_W,
		const WienerType &	Delta_exp_W,
		const ReactionType &	mu_squared
	)

Compute the source to zero or the exact one based on the selected solution and Wiener process.

Parameters

use_exact_source	use exact source or zero
t	Time at which to compute the source term
W	Wiener process
grad_W	Gradient of Wiener process
Delta_exp_W	Laplacian of exponential of Wiener process
mu_squared	mu^2 for the reaction term

◆ EnergyNorm() [1/2]

double HArDCore2D::HMM_StefanPME_Transient::EnergyNorm ( const UVector & Xh ) const

Discrete energy norm (associated to the diffusion operator)

◆ EnergyNorm() [2/2]

double HArDCore2D::StochStefanPME::EnergyNorm ( const UVector & Xh ) const

Discrete energy norm (associated to the diffusion operator)

◆ get_assembly_time() [1/2]

double HArDCore2D::HMM_StefanPME_Transient::get_assembly_time ( ) const

inline

cpu time to assemble the scheme

◆ get_assembly_time() [2/2]

double HArDCore2D::StochStefanPME::get_assembly_time ( ) const

inline

cpu time to assemble the scheme

◆ get_itime() [1/2]

double HArDCore2D::HMM_StefanPME_Transient::get_itime ( size_t idx ) const

inline

various intermediate assembly times

◆ get_itime() [2/2]

double HArDCore2D::StochStefanPME::get_itime ( size_t idx ) const

inline

various intermediate assembly times

◆ get_MassT() [1/2]

Eigen::MatrixXd HArDCore2D::HMM_StefanPME_Transient::get_MassT ( size_t iT ) const

inline

Mass matrix in cell iT.

◆ get_MassT() [2/2]

Eigen::MatrixXd HArDCore2D::StochStefanPME::get_MassT ( size_t iT ) const

inline

Mass matrix in cell iT.

◆ get_nb_newton()

size_t HArDCore2D::HMM_StefanPME_Transient::get_nb_newton ( ) const

inline

number of Newton iterations

◆ get_solution_time()

double HArDCore2D::StochStefanPME::get_solution_time ( ) const

inline

cpu time to solve the linear systems

◆ get_solving_error() [1/2]

double HArDCore2D::HMM_StefanPME_Transient::get_solving_error ( ) const

inline

residual after solving the scheme

◆ get_solving_error() [2/2]

double HArDCore2D::StochStefanPME::get_solving_error ( ) const

inline

residual after solving the scheme

◆ get_solving_time()

double HArDCore2D::HMM_StefanPME_Transient::get_solving_time ( ) const

inline

cpu time to solve the scheme

◆ HMM_StefanPME_Transient()

HArDCore2D::HMM_StefanPME_Transient::HMM_StefanPME_Transient	(	HybridCore &	hmm,
		tensor_function_type	kappa,
		source_function_type	source,
		BoundaryConditions	BC,
		solution_function_type	exact_solution,
		grad_function_type	grad_exact_solution,
		TestCaseNonLinearity::nonlinearity_function_type	zeta,
		double	weight,
		std::string	solver_type,
		std::ostream &	output = `std::cout`
	)

Constructor of the class.

Parameters

hmm	instance of the hybridcore class (with basis functions, etc.)
kappa	diffusion tensor
source	source term
BC	type of boundary conditions
exact_solution	exact solution
grad_exact_solution	gradient of the exact solution
zeta	function describing the nonlinearity
weight	proportion of weight (between 0 and 1) of mass-lumping on the edges
solver_type	type of solver to use for the global system (bicgstab at the moment)
output	optional argument for output of messages

◆ Integral()

double HArDCore2D::StochStefanPME::Integral ( const UVector & Xh ) const

Integral of a function given by a vector.

◆ iterate() [1/2]

UVector HArDCore2D::HMM_StefanPME_Transient::iterate	(	const double	tps,
		const double	dt,
		const UVector &	Xn
	)

Execute one time iteration.

Parameters

tps	current time (for computing source)
dt	time step
Xn	Unkown at previous time step

◆ iterate() [2/2]

std::pair< UVector, size_t > HArDCore2D::StochStefanPME::iterate	(	const double	tps,
		const double	dt,
		const UVector &	Xn,
		const UVector &	Ih_W,
		const WienerType &	W,
		const ReactionType &	mu_squared,
		const source_function_type &	source
	)

Execute one time iteration: return the calculated vector, and the number of Newton iterations.

Parameters

tps	current time (for computing source)
dt	time step
Xn	Unkown at previous time step
Ih_W	Interpolate of Wiener process at time tps
W	Wiener process at time tps, to fix the BCs
mu_squared	Reaction term
source	source term at time tps

◆ L2_MassLumped() [1/2]

double HArDCore2D::HMM_StefanPME_Transient::L2_MassLumped ( const UVector & Xh ) const

Mass-lumped L2 norm of a function given by a vector.

◆ L2_MassLumped() [2/2]

double HArDCore2D::StochStefanPME::L2_MassLumped ( const UVector & Xh ) const

Mass-lumped L2 norm of a function given by a vector.

◆ Lp_MassLumped() [1/2]

double HArDCore2D::HMM_StefanPME_Transient::Lp_MassLumped	(	const UVector &	Xh,
		double	p
	)		const

Mass-lumped Lp norm of a function given by a vector.

◆ Lp_MassLumped() [2/2]

double HArDCore2D::StochStefanPME::Lp_MassLumped	(	const UVector &	Xh,
		double	p
	)		const

Mass-lumped Lp norm of a function given by a vector.

◆ SetWienerProcess()

void HArDCore2D::StochStefanPME::SetWienerProcess	(	const int &	caseW,
		const double &	t,
		WienerType &	W,
		UVector &	I_W,
		GradWienerType &	grad_W,
		WienerType &	Delta_exp_W,
		ReactionType &	mu_squared,
		bool	verbose = `false`
	)

Set the Wiener process, deterministic case.

Parameters

caseW	Type of Wiener process (can be deterministic...)
t	Time at which to compute the Wiener process
W	To store the Wiener process
I_W	Interpolate of the calculated Wiener process
grad_W	To store its gradient
Delta_exp_W	To store the Laplacian of its exponential
mu_squared	To store mu^2
verbose	Determine if text should be output

◆ SimulateWienerProcess()

void HArDCore2D::StochStefanPME::SimulateWienerProcess	(	const double &	dt,
		DoubleVector< double > &	Wtime,
		WienerType &	W,
		const DoubleVector< Eigen::VectorXd > &	Ih_eigs,
		UVector &	I_W,
		GradWienerType &	grad_W,
		WienerType &	Delta_exp_W,
		ReactionType &	mu_squared
	)

Set the Wiener process, random case.

Simulate the Wiener process, by random increment of the temporal component from the current value.

Parameters

dt	Time increment to update the process
Wtime	Current values of the time component W_i of W, will be updated
W	Computed complete Wiener process
Ih_eigs	Interpolates of the eigenfunctions e_i to compute the interpolate of the Wiener process
I_W	To store the interpolate of the Wiener process
grad_W	To store the gradient of the Wiener process
Delta_exp_W	To store the Laplacian of the exponential of the Wiener process
mu_squared	Reaction term mu^2

◆ StDev()

static double HArDCore2D::StDev ( const Eigen::VectorXd & v )

inlinestatic

◆ StochStefanPME()

HArDCore2D::StochStefanPME::StochStefanPME	(	HybridCore &	hmm,
		tensor_function_type	kappa,
		TestCaseNonLinearity::nonlinearity_function_type	zeta,
		BoundaryConditions	BC,
		solution_function_type	exact_solution,
		grad_function_type	grad_exact_solution,
		solution_function_type	time_der_exact_solution,
		lapl_function_type	minus_Lapl_exact_solution,
		double	weight,
		std::string	solver_type,
		std::ostream &	output = `std::cout`
	)

Constructor of the class.

Parameters

hmm	instance of the hybridcore class (with basis functions, etc.)
kappa	diffusion tensor
zeta	function describing the nonlinearity
BC	type of boundary conditions
exact_solution	exact solution
grad_exact_solution	gradient of the exact solution
time_der_exact_solution	time derivative of exact solution
minus_Lapl_exact_solution	minus Laplacian of the exact solution
weight	proportion of weight (between 0 and 1) of mass-lumping on the edges
solver_type	type of solver to use for the global system
output	optional argument for output of messages

Variable Documentation

◆ Delta_mui_ei

EigFunctionType<double> HArDCore2D::Delta_mui_ei

static

Initial value:

= [](const size_t &k, const size_t &l, const VectorRd & p)->double
        {
         return - mui(k,l) * (std::pow(k, 2) + std::pow(l, 2)) * std::pow(PI,2) * sin(k * PI * p.x()) * sin(l * PI * p.y()); 
        }

◆ grad_mui_ei

EigFunctionType<VectorRd> HArDCore2D::grad_mui_ei

static

Initial value:

= [](const size_t &k, const size_t &l, const VectorRd & p)->VectorRd
        {
         return mui(k,l) * VectorRd(
                                  k * PI * cos(k * PI * p.x()) * sin(l * PI * p.y()),
                                  l * PI * sin(k * PI * p.x()) * cos(l * PI * p.y())
                                  ); 
        }

◆ mui

std::function<double(const size_t &, const size_t &)> HArDCore2D::mui

static

Initial value:

= [](const size_t &k, const size_t &l)->double
        {
          return 1./(std::pow(k, 2) + std::pow(l, 2));
        }

◆ mui_ei

EigFunctionType<double> HArDCore2D::mui_ei

static

Initial value:

= [](const size_t &k, const size_t &l, const VectorRd & p)->double
        {
         return mui(k,l) * sin(k * PI * p.x()) * sin(l * PI * p.y()); 
        }

◆ PI

const double HArDCore2D::PI = boost::math::constants::pi<double>()

static

Type for vector of vector.

◆ zero_scalar_function

SpatialFunctionType<double> HArDCore2D::zero_scalar_function = [](const VectorRd & x)->double { return 0.;}

static

Zero spatial function.

Classes

Typedefs

Functions

Variables

Detailed Description

Typedef Documentation

◆ DoubleVector

◆ EigFunctionType

◆ grad_function_type [1/2]

◆ grad_function_type [2/2]

◆ GradWienerType

◆ lapl_function_type

◆ PiecewiseSpatialFunctionType

◆ PiecewiseTemporalSpatialFunctionType

◆ ReactionType

◆ solution_function_type [1/2]

◆ solution_function_type [2/2]

◆ source_function_type [1/2]

◆ source_function_type [2/2]

◆ SpatialFunctionType

◆ TemporalSpatialFunctionType

◆ tensor_function_type [1/2]

◆ tensor_function_type [2/2]

◆ WienerType

Function Documentation

◆ apply_nonlinearity() [1/2]

◆ apply_nonlinearity() [2/2]

◆ apply_nonlinearity_eW() [1/2]

◆ apply_nonlinearity_eW() [2/2]

◆ compute_source()

◆ EnergyNorm() [1/2]

◆ EnergyNorm() [2/2]

◆ get_assembly_time() [1/2]

◆ get_assembly_time() [2/2]

◆ get_itime() [1/2]

◆ get_itime() [2/2]

◆ get_MassT() [1/2]

◆ get_MassT() [2/2]

◆ get_nb_newton()

◆ get_solution_time()

◆ get_solving_error() [1/2]

◆ get_solving_error() [2/2]

◆ get_solving_time()

◆ HMM_StefanPME_Transient()

◆ Integral()

◆ iterate() [1/2]

◆ iterate() [2/2]

◆ L2_MassLumped() [1/2]

◆ L2_MassLumped() [2/2]

◆ Lp_MassLumped() [1/2]

◆ Lp_MassLumped() [2/2]

◆ SetWienerProcess()

◆ SimulateWienerProcess()

◆ StDev()

◆ StochStefanPME()

Variable Documentation

◆ Delta_mui_ei

◆ grad_mui_ei

◆ mui

◆ mui_ei

◆ PI

◆ zero_scalar_function