7#ifndef __IPRESTOIPOPTNLP_HPP__
8#define __IPRESTOIPOPTNLP_HPP__
65 const std::string& prefix
280 Number regularization_size,
AlgorithmMode
enum to indicate the mode in which the algorithm is
Class for all IPOPT specific calculated quantities.
Class to organize all the data required by the algorithm.
This is the abstract base class for classes that map the traditional NLP into something that is more ...
Specialized CompoundVector class specifically for the algorithm iterates.
Class responsible for all message output.
This class stores a list of user set options.
This class maps a IpoptNLP into one that is used for the restoration phase of Ipopt.
SmartPtr< const DiagMatrix > DR2_x_
Matrix with squared scaling factors, for h()
virtual Number f(const Vector &x, Number mu)
Objective value.
bool IntermediateCallBack(AlgorithmMode mode, Index iter, Number obj_value, Number inf_pr, Number inf_du, Number mu, Number d_norm, Number regularization_size, Number alpha_du, Number alpha_pr, Index ls_trials, SmartPtr< const IpoptData > ip_data, SmartPtr< IpoptCalculatedQuantities > ip_cq)
User callback method.
virtual SmartPtr< const Vector > d_U() const
Upper bounds on d.
virtual SmartPtr< const SymMatrix > uninitialized_h()
Provides a Hessian matrix from the correct matrix space with uninitialized values.
SmartPtr< const Vector > dr2_x_
Squared scaling factors for the $x$ part of the regularization term, for grad_f.
virtual SmartPtr< const Vector > x_L() const
Lower bounds on x.
virtual bool InitializeStructures(SmartPtr< Vector > &x, bool init_x, SmartPtr< Vector > &y_c, bool init_y_c, SmartPtr< Vector > &y_d, bool init_y_d, SmartPtr< Vector > &z_L, bool init_z_L, SmartPtr< Vector > &z_U, bool init_z_U, SmartPtr< Vector > &v_L, SmartPtr< Vector > &v_U)
Initialize (create) structures for the iteration data.
Number Rho() const
Accessor Method for obtaining the Rho penalization factor for the ell_1 norm.
virtual bool GetWarmStartIterate(IteratesVector &)
Method accessing the GetWarmStartIterate of the NLP.
virtual Index f_evals() const
SmartPtr< CompoundMatrixSpace > pd_l_space_
~RestoIpoptNLP()
Destructor.
SmartPtr< CompoundVectorSpace > d_space_
virtual Index h_evals() const
virtual Index c_evals() const
SmartPtr< CompoundVectorSpace > x_u_space_
bool evaluate_orig_obj_at_resto_trial_
Flag indicating if evaluation of the objective should be performed for every restoration phase object...
SmartPtr< IpoptNLP > orig_ip_nlp_
Pointer to the original IpoptNLP.
Number rho_
Penalty parameter for the $l_1$ norm, given by resto_penalty_parameter.
bool initialized_
Flag indicating if initialization method has been called.
SmartPtr< CompoundVector > d_L_
Lower bounds on d.
virtual SmartPtr< const Vector > d(const Vector &x)
Inequality constraint residual (reformulated as equalities with slacks.
void FinalizeSolution(SolverReturn, const Vector &, const Vector &, const Vector &, const Vector &, const Vector &, const Vector &, const Vector &, Number, const IpoptData *, IpoptCalculatedQuantities *)
virtual SmartPtr< const Vector > grad_f(const Vector &x)
Gradient of the objective (incorrect version for restoration phase)
IpoptData & OrigIpData() const
RestoIpoptNLP()
Default Constructor.
void operator=(const RestoIpoptNLP &)
Default Assignment Operator.
SmartPtr< CompoundVector > x_L_
Lower bounds on x.
SmartPtr< CompoundVector > d_U_
Upper bounds on d.
virtual SmartPtr< const Vector > grad_f(const Vector &x, Number mu)
Gradient of the objective.
SmartPtr< CompoundMatrix > Px_L_
Permutation matrix (x_L_ -> x)
SmartPtr< CompoundMatrixSpace > jac_c_space_
SmartPtr< CompoundVectorSpace > x_space_
Necessary Vector/Matrix spaces.
virtual void AdjustVariableBounds(const Vector &new_x_L, const Vector &new_x_U, const Vector &new_d_L, const Vector &new_d_U)
Method for adapting the variable bounds.
virtual SmartPtr< const Vector > d_L() const
Lower bounds on d.
SmartPtr< CompoundMatrixSpace > px_l_space_
virtual Index jac_c_evals() const
virtual bool Initialize(const Journalist &jnlst, const OptionsList &options, const std::string &prefix)
Initialization method.
SmartPtr< const Vector > x_ref_
$x$ part of the reference point in the regularization term
IpoptNLP & OrigIpNLP() const
virtual SmartPtr< const Matrix > jac_d(const Vector &x)
Jacobian Matrix for inequality constraints.
virtual Index grad_f_evals() const
SmartPtr< const Vector > dr_x_
Scaling factors for the $x$ part of the regularization term.
virtual SmartPtr< const Matrix > Px_L() const
Permutation matrix (x_L_ -> x)
Number Eta(Number mu) const
Method to calculate eta, the factor for the regularization term.
HessianApproximationType hessian_approximation_
Flag indicating how Hessian information is obtained.
virtual bool objective_depends_on_mu() const
Accessor methods for model data.
SmartPtr< CompoundMatrix > Pd_U_
Permutation matrix (d_U_ -> d.
SmartPtr< CompoundVectorSpace > c_space_
SmartPtr< CompoundMatrix > Pd_L_
Permutation matrix (d_L_ -> d)
virtual SmartPtr< const Matrix > Px_U() const
Permutation matrix (x_U_ -> x.
SmartPtr< CompoundVectorSpace > x_l_space_
IpoptCalculatedQuantities & OrigIpCq() const
virtual SmartPtr< const SymMatrixSpace > HessianMatrixSpace() const
Accessor method to obtain the MatrixSpace for the Hessian matrix (or it's approximation)
SmartPtr< CompoundMatrixSpace > pd_u_space_
SmartPtr< CompoundMatrixSpace > jac_d_space_
SmartPtr< CompoundVector > x_U_
Upper bounds on x.
SmartPtr< CompoundMatrixSpace > px_u_space_
virtual Index jac_d_evals() const
SmartPtr< IpoptData > orig_ip_data_
Pointer to the original IpoptData.
static void RegisterOptions(SmartPtr< RegisteredOptions > roptions)
Number eta_factor_
scaling factor for eta calculation
virtual SmartPtr< const VectorSpace > x_space() const
x_space
virtual void GetSpaces(SmartPtr< const VectorSpace > &x_space, SmartPtr< const VectorSpace > &c_space, SmartPtr< const VectorSpace > &d_space, SmartPtr< const VectorSpace > &x_l_space, SmartPtr< const MatrixSpace > &px_l_space, SmartPtr< const VectorSpace > &x_u_space, SmartPtr< const MatrixSpace > &px_u_space, SmartPtr< const VectorSpace > &d_l_space, SmartPtr< const MatrixSpace > &pd_l_space, SmartPtr< const VectorSpace > &d_u_space, SmartPtr< const MatrixSpace > &pd_u_space, SmartPtr< const MatrixSpace > &Jac_c_space, SmartPtr< const MatrixSpace > &Jac_d_space, SmartPtr< const SymMatrixSpace > &Hess_lagrangian_space)
Accessor method for vector/matrix spaces pointers.
SmartPtr< CompoundMatrix > Px_U_
Permutation matrix (x_U_ -> x)
virtual SmartPtr< const Vector > c(const Vector &x)
Equality constraint residual.
SmartPtr< const Vector > DR_x() const
Method returning the scaling factors for the 2-norm penalization term.
virtual SmartPtr< const Matrix > Pd_U() const
Permutation matrix (d_U_ -> d.
virtual SmartPtr< const SymMatrix > h(const Vector &x, Number obj_factor, const Vector &yc, const Vector &yd)
Hessian of the Lagrangian (incorrect version for restoration phase)
virtual SmartPtr< const Matrix > Pd_L() const
Permutation matrix (d_L_ -> d)
Number eta_mu_exponent_
exponent for mu in eta calculation
SmartPtr< CompoundVectorSpace > d_l_space_
RestoIpoptNLP(const RestoIpoptNLP &)
Copy Constructor.
RestoIpoptNLP(IpoptNLP &orig_ip_nlp, IpoptData &orig_ip_data, IpoptCalculatedQuantities &orig_ip_cq)
SmartPtr< IpoptCalculatedQuantities > orig_ip_cq_
Pointer to the original IpoptCalculatedQuantities.
SmartPtr< CompoundVectorSpace > d_u_space_
SmartPtr< CompoundSymMatrixSpace > h_space_
virtual Index d_evals() const
virtual Number f(const Vector &x)
Objective value (incorrect version for restoration phase)
virtual SmartPtr< const Vector > x_U() const
Upper bounds on x.
virtual SmartPtr< const SymMatrix > h(const Vector &x, Number obj_factor, const Vector &yc, const Vector &yd, Number mu)
Hessian of the Lagrangian.
virtual SmartPtr< const Matrix > jac_c(const Vector &x)
Jacobian Matrix for equality constraints.
Template class for Smart Pointers.
This file contains a base class for all exceptions and a set of macros to help with exceptions.
SmartPtr< const U > ConstPtr(const SmartPtr< U > &smart_ptr)
HessianApproximationType
enumeration for the Hessian information type.
U * GetRawPtr(const SmartPtr< U > &smart_ptr)
SolverReturn
enum for the return from the optimize algorithm
ipindex Index
Type of all indices of vectors, matrices etc.
ipnumber Number
Type of all numbers.