Apollo  6.0
Open source self driving car software
Public Member Functions | List of all members
apollo::planning::DualVariableWarmStartIPOPTQPInterface Class Reference

#include <dual_variable_warm_start_ipopt_qp_interface.h>

Inheritance diagram for apollo::planning::DualVariableWarmStartIPOPTQPInterface:
Inheritance graph
Collaboration diagram for apollo::planning::DualVariableWarmStartIPOPTQPInterface:
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Public Member Functions

 DualVariableWarmStartIPOPTQPInterface (size_t horizon, double ts, const Eigen::MatrixXd &ego, const Eigen::MatrixXi &obstacles_edges_num, const size_t obstacles_num, const Eigen::MatrixXd &obstacles_A, const Eigen::MatrixXd &obstacles_b, const Eigen::MatrixXd &xWS, const PlannerOpenSpaceConfig &planner_open_space_config)
 
virtual ~DualVariableWarmStartIPOPTQPInterface ()=default
 
void get_optimization_results (Eigen::MatrixXd *l_warm_up, Eigen::MatrixXd *n_warm_up) const
 
void check_solution (const Eigen::MatrixXd &l_warm_up, const Eigen::MatrixXd &n_warm_up)
 
bool get_nlp_info (int &n, int &m, int &nnz_jac_g, int &nnz_h_lag, IndexStyleEnum &index_style) override
 
bool get_bounds_info (int n, double *x_l, double *x_u, int m, double *g_l, double *g_u) override
 
bool get_starting_point (int n, bool init_x, double *x, bool init_z, double *z_L, double *z_U, int m, bool init_lambda, double *lambda) override
 
bool eval_f (int n, const double *x, bool new_x, double &obj_value) override
 
bool eval_grad_f (int n, const double *x, bool new_x, double *grad_f) override
 
bool eval_g (int n, const double *x, bool new_x, int m, double *g) override
 
bool eval_jac_g (int n, const double *x, bool new_x, int m, int nele_jac, int *iRow, int *jCol, double *values) override
 
bool eval_h (int n, const double *x, bool new_x, double obj_factor, int m, const double *lambda, bool new_lambda, int nele_hess, int *iRow, int *jCol, double *values) override
 

Solution Methods

void finalize_solution (Ipopt::SolverReturn status, int n, const double *x, const double *z_L, const double *z_U, int m, const double *g, const double *lambda, double obj_value, const Ipopt::IpoptData *ip_data, Ipopt::IpoptCalculatedQuantities *ip_cq) override
 
template<class T >
bool eval_obj (int n, const T *x, T *obj_value)
 
template<class T >
bool eval_constraints (int n, const T *x, int m, T *g)
 
void generate_tapes (int n, int m, int *nnz_h_lag)
 

Constructor & Destructor Documentation

◆ DualVariableWarmStartIPOPTQPInterface()

apollo::planning::DualVariableWarmStartIPOPTQPInterface::DualVariableWarmStartIPOPTQPInterface ( size_t  horizon,
double  ts,
const Eigen::MatrixXd &  ego,
const Eigen::MatrixXi &  obstacles_edges_num,
const size_t  obstacles_num,
const Eigen::MatrixXd &  obstacles_A,
const Eigen::MatrixXd &  obstacles_b,
const Eigen::MatrixXd &  xWS,
const PlannerOpenSpaceConfig &  planner_open_space_config 
)

◆ ~DualVariableWarmStartIPOPTQPInterface()

virtual apollo::planning::DualVariableWarmStartIPOPTQPInterface::~DualVariableWarmStartIPOPTQPInterface ( )
virtualdefault

Member Function Documentation

◆ check_solution()

void apollo::planning::DualVariableWarmStartIPOPTQPInterface::check_solution ( const Eigen::MatrixXd &  l_warm_up,
const Eigen::MatrixXd &  n_warm_up 
)

◆ eval_constraints()

template<class T >
bool apollo::planning::DualVariableWarmStartIPOPTQPInterface::eval_constraints ( int  n,
const T *  x,
int  m,
T *  g 
)

Template to compute constraints

◆ eval_f()

bool apollo::planning::DualVariableWarmStartIPOPTQPInterface::eval_f ( int  n,
const double *  x,
bool  new_x,
double &  obj_value 
)
override

Method to return the objective value

◆ eval_g()

bool apollo::planning::DualVariableWarmStartIPOPTQPInterface::eval_g ( int  n,
const double *  x,
bool  new_x,
int  m,
double *  g 
)
override

Method to return the constraint residuals

◆ eval_grad_f()

bool apollo::planning::DualVariableWarmStartIPOPTQPInterface::eval_grad_f ( int  n,
const double *  x,
bool  new_x,
double *  grad_f 
)
override

Method to return the gradient of the objective

◆ eval_h()

bool apollo::planning::DualVariableWarmStartIPOPTQPInterface::eval_h ( int  n,
const double *  x,
bool  new_x,
double  obj_factor,
int  m,
const double *  lambda,
bool  new_lambda,
int  nele_hess,
int *  iRow,
int *  jCol,
double *  values 
)
override

Method to return: 1) The structure of the hessian of the lagrangian (if "values" is nullptr) 2) The values of the hessian of the lagrangian (if "values" is not nullptr)

◆ eval_jac_g()

bool apollo::planning::DualVariableWarmStartIPOPTQPInterface::eval_jac_g ( int  n,
const double *  x,
bool  new_x,
int  m,
int  nele_jac,
int *  iRow,
int *  jCol,
double *  values 
)
override

Method to return: 1) The structure of the jacobian (if "values" is nullptr) 2) The values of the jacobian (if "values" is not nullptr)

◆ eval_obj()

template<class T >
bool apollo::planning::DualVariableWarmStartIPOPTQPInterface::eval_obj ( int  n,
const T *  x,
T *  obj_value 
)

Template to return the objective value

◆ finalize_solution()

void apollo::planning::DualVariableWarmStartIPOPTQPInterface::finalize_solution ( Ipopt::SolverReturn  status,
int  n,
const double *  x,
const double *  z_L,
const double *  z_U,
int  m,
const double *  g,
const double *  lambda,
double  obj_value,
const Ipopt::IpoptData *  ip_data,
Ipopt::IpoptCalculatedQuantities *  ip_cq 
)
override

This method is called when the algorithm is complete so the TNLP can store/write the solution

◆ generate_tapes()

void apollo::planning::DualVariableWarmStartIPOPTQPInterface::generate_tapes ( int  n,
int  m,
int *  nnz_h_lag 
)

Method to generate the required tapes

◆ get_bounds_info()

bool apollo::planning::DualVariableWarmStartIPOPTQPInterface::get_bounds_info ( int  n,
double *  x_l,
double *  x_u,
int  m,
double *  g_l,
double *  g_u 
)
override

Method to return the bounds for my problem

◆ get_nlp_info()

bool apollo::planning::DualVariableWarmStartIPOPTQPInterface::get_nlp_info ( int &  n,
int &  m,
int &  nnz_jac_g,
int &  nnz_h_lag,
IndexStyleEnum &  index_style 
)
override

Method to return some info about the nlp

◆ get_optimization_results()

void apollo::planning::DualVariableWarmStartIPOPTQPInterface::get_optimization_results ( Eigen::MatrixXd *  l_warm_up,
Eigen::MatrixXd *  n_warm_up 
) const

◆ get_starting_point()

bool apollo::planning::DualVariableWarmStartIPOPTQPInterface::get_starting_point ( int  n,
bool  init_x,
double *  x,
bool  init_z,
double *  z_L,
double *  z_U,
int  m,
bool  init_lambda,
double *  lambda 
)
override

Method to return the starting point for the algorithm


The documentation for this class was generated from the following file: