Maps to viscous damping parameters phi/psi. More...

#include <DampingVariableToSimulation.hpp>

Inheritance diagram for polyfem::solver::DampingVariableToSimulation:

Collaboration diagram for polyfem::solver::DampingVariableToSimulation:

Public Types
using	VarFormPtrs = std::vector< std::shared_ptr< varform::DifferentiableVarForm > >

using	DiffCachePtrs = std::vector< std::shared_ptr< DiffCache > >

Public Member Functions
	DampingVariableToSimulation (VarFormPtrs varforms, DiffCachePtrs diff_caches, CompositeParametrization parametrizations)
	Construct DampingVariableToSimulation.

std::string	name () const override

ParameterType	parameter_type () const override

bool	affects_varform (const varform::DifferentiableVarForm &target) const override
	Return true if current var2sim maps to target varform.

void	update (const Eigen::VectorXd &x) override
	Update forward simulation varforms from optimization variables.

void	update_state_variables (const Eigen::VectorXd &x, Eigen::VectorXd &state_variables) const override
	Update varform variables from optimization variables.

Eigen::VectorXd	compute_adjoint_term (const Eigen::VectorXd &x) const override
	Compute adjoint contribution of objective gradient.

int	inverse_dof () const override
	Compute optimization variables dof.

Eigen::VectorXd	inverse_eval () const override
	Compute optimization variables from forward simulation varform::DifferentiableVarForm.

Eigen::VectorXd	apply_parametrization_jacobian (const Eigen::VectorXd &term, const Eigen::VectorXd &x) const override
	Apply parametrization jacobian to compute the gradient w.r.t.

Public Member Functions inherited from polyfem::solver::VariableToSimulation
virtual	~VariableToSimulation ()=default

Private Member Functions
int	para_out_dof () const

Private Attributes
VarFormPtrs	varforms_

DiffCachePtrs	diff_caches_

CompositeParametrization	parametrization_

Detailed Description

Maps to viscous damping parameters phi/psi.

Definition at line 14 of file DampingVariableToSimulation.hpp.

Member Typedef Documentation

◆ DiffCachePtrs

using polyfem::solver::DampingVariableToSimulation::DiffCachePtrs = std::vector<std::shared_ptr<DiffCache> >

Definition at line 18 of file DampingVariableToSimulation.hpp.

◆ VarFormPtrs

using polyfem::solver::DampingVariableToSimulation::VarFormPtrs = std::vector<std::shared_ptr<varform::DifferentiableVarForm> >

Definition at line 17 of file DampingVariableToSimulation.hpp.

Constructor & Destructor Documentation

◆ DampingVariableToSimulation()

polyfem::solver::DampingVariableToSimulation::DampingVariableToSimulation	(	VarFormPtrs	varforms,
		DiffCachePtrs	diff_caches,
		CompositeParametrization	parametrizations
	)

Construct DampingVariableToSimulation.

Parameters

[in]	varforms	Shared ptr to all forward sim varforms.
[in]	diff_caches	Shared ptr to all diff caches.
[in]	parametrizations	Parametrizations.

Exceptions

std::runtime_error Throw if input is invalid.

Definition at line 17 of file DampingVariableToSimulation.cpp.

References diff_caches_, polyfem::log_and_throw_adjoint_error(), and varforms_.

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Member Function Documentation

◆ affects_varform()

bool polyfem::solver::DampingVariableToSimulation::affects_varform ( const varform::DifferentiableVarForm & target ) const

overridevirtual

Return true if current var2sim maps to target varform.

Implements polyfem::solver::VariableToSimulation.

Definition at line 46 of file DampingVariableToSimulation.cpp.

References varforms_.

◆ apply_parametrization_jacobian()

Eigen::VectorXd polyfem::solver::DampingVariableToSimulation::apply_parametrization_jacobian	(	const Eigen::VectorXd &	term,
		const Eigen::VectorXd &	x
	)		const

overridevirtual

Apply parametrization jacobian to compute the gradient w.r.t.

to optimization variables.

Parameters

term	Gradient w.r.t. to full inherent dof (Ex. all vertices for shape var2sim)
x	Optimization variables.

Implements polyfem::solver::VariableToSimulation.

Definition at line 124 of file DampingVariableToSimulation.cpp.

References polyfem::log_and_throw_adjoint_error(), and name().

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◆ compute_adjoint_term()

Eigen::VectorXd polyfem::solver::DampingVariableToSimulation::compute_adjoint_term ( const Eigen::VectorXd & x ) const

overridevirtual

Compute adjoint contribution of objective gradient.

See arXiv:2205.13643.

Let objective function be J and optimization variable be x. This method computes all adjoint related terms in dJ/dx. For static case (E.q. 11), it's the second term. For dynamic case (E.q. 15), it's everything except ∂qJ.

Parameters

x[in] Optimization variables.