19 : varforms_(std::move(varforms)),
20 diff_caches_(std::move(diff_caches)),
21 parametrization_(std::move(parametrizations))
28 if (!varform->get_problem().is_time_dependent())
30 log_and_throw_adjoint_error(
"Fail to construct friction variable to simulation. Reason: Can't optimize friction for static problem.");
49 if (varform.get() == &target)
64 varform->set_friction_coefficient(
y(0));
76 Eigen::VectorXd term, cur_term;
77 for (
int i = 0; i < int(
varforms_.size()); ++i)
82 assert(varform->get_problem().is_time_dependent());
87 if (term.size() != cur_term.size())
109 y(0) =
varforms_[0]->get_args()[
"contact"][
"friction_coefficient"].get<
double>();
Eigen::VectorXd apply_jacobian(const Eigen::VectorXd &grad_full, const Eigen::VectorXd &x) const override
Apply jacobian for chain rule.
Eigen::VectorXd inverse_eval(const Eigen::VectorXd &y) const override
Eval x = f^-1 (y).
int inverse_size(int y_size) const override
Compute DOF of x given DOF of y.
Eigen::VectorXd eval(const Eigen::VectorXd &x) const override
Eval y = f(x).
std::vector< std::shared_ptr< DiffCache > > DiffCachePtrs
Eigen::VectorXd compute_adjoint_term(const Eigen::VectorXd &x) const override
Compute adjoint contribution of objective gradient.
DiffCachePtrs diff_caches_
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.
FrictionVariableToSimulation(VarFormPtrs varforms, DiffCachePtrs diff_caches, CompositeParametrization parametrizations)
Construct FrictionVariableToSimulation.
std::vector< std::shared_ptr< varform::DifferentiableVarForm > > VarFormPtrs
int inverse_dof() const override
Compute optimization variables dof.
void update(const Eigen::VectorXd &x) override
Update forward simulation varforms from optimization variables.
bool affects_varform(const varform::DifferentiableVarForm &target) const override
Return true if current var2sim maps to target varform.
ParameterType parameter_type() const override
void update_state_variables(const Eigen::VectorXd &x, Eigen::VectorXd &state_variables) const override
Update varform variables from optimization variables.
CompositeParametrization parametrization_
std::string name() const override
void log_and_throw_adjoint_error(const std::string &msg)
Eigen::MatrixXd get_adjoint_mat(const varform::DifferentiableVarForm &varform, const DiffCache &diff_cache, int type)
Get adjoint parameter nu or p.