, including all inherited members.
cutoff_ | Bonmin::TNLP2FPNLP | [private] |
dist_to_point(const Ipopt::Number *x) | Bonmin::TNLP2FPNLP | [private] |
eval_f(Ipopt::Index n, const Ipopt::Number *x, bool new_x, Ipopt::Number &obj_value) | Bonmin::TNLP2FPNLP | [virtual] |
eval_g(Ipopt::Index n, const Ipopt::Number *x, bool new_x, Ipopt::Index m, Ipopt::Number *g) | Bonmin::TNLP2FPNLP | [virtual] |
eval_grad_f(Ipopt::Index n, const Ipopt::Number *x, bool new_x, Ipopt::Number *grad_f) | Bonmin::TNLP2FPNLP | [virtual] |
eval_h(Ipopt::Index n, const Ipopt::Number *x, bool new_x, Ipopt::Number obj_factor, Ipopt::Index m, const Ipopt::Number *lambda, bool new_lambda, Ipopt::Index nele_hess, Ipopt::Index *iRow, Ipopt::Index *jCol, Ipopt::Number *values) | Bonmin::TNLP2FPNLP | [virtual] |
eval_jac_g(Ipopt::Index n, const Ipopt::Number *x, bool new_x, Ipopt::Index m, Ipopt::Index nele_jac, Ipopt::Index *iRow, Ipopt::Index *jCol, Ipopt::Number *values) | Bonmin::TNLP2FPNLP | [virtual] |
finalize_solution(Ipopt::SolverReturn status, Ipopt::Index n, const Ipopt::Number *x, const Ipopt::Number *z_L, const Ipopt::Number *z_U, Ipopt::Index m, const Ipopt::Number *g, const Ipopt::Number *lambda, Ipopt::Number obj_value, const Ipopt::IpoptData *ip_data, Ipopt::IpoptCalculatedQuantities *ip_cq) | Bonmin::TNLP2FPNLP | [virtual] |
get_bounds_info(Ipopt::Index n, Ipopt::Number *x_l, Ipopt::Number *x_u, Ipopt::Index m, Ipopt::Number *g_l, Ipopt::Number *g_u) | Bonmin::TNLP2FPNLP | [virtual] |
get_constraints_linearity(Ipopt::Index m, LinearityType *const_types) | Bonmin::TNLP2FPNLP | [inline, virtual] |
get_nlp_info(Ipopt::Index &n, Ipopt::Index &m, Ipopt::Index &nnz_jac_g, Ipopt::Index &nnz_h_lag, Ipopt::TNLP::IndexStyleEnum &index_style) | Bonmin::TNLP2FPNLP | [virtual] |
get_starting_point(Ipopt::Index n, bool init_x, Ipopt::Number *x, bool init_z, Ipopt::Number *z_L, Ipopt::Number *z_U, Ipopt::Index m, bool init_lambda, Ipopt::Number *lambda) | Bonmin::TNLP2FPNLP | [inline, virtual] |
get_variables_linearity(Ipopt::Index n, LinearityType *var_types) | Bonmin::TNLP2FPNLP | [inline, virtual] |
getObjectiveScaling() const | Bonmin::TNLP2FPNLP | [inline] |
index_style_ | Bonmin::TNLP2FPNLP | [private] |
inds_ | Bonmin::TNLP2FPNLP | [private] |
lambda_ | Bonmin::TNLP2FPNLP | [private] |
norm_ | Bonmin::TNLP2FPNLP | [private] |
objectiveScalingFactor_ | Bonmin::TNLP2FPNLP | [private] |
operator=(const TNLP2FPNLP &) | Bonmin::TNLP2FPNLP | [private] |
rhs_local_branching_constraint_ | Bonmin::TNLP2FPNLP | [private] |
set_cutoff(Ipopt::Number cutoff) | Bonmin::TNLP2FPNLP | |
set_dist_to_point_obj(size_t n, const Ipopt::Number *vals, const Ipopt::Index *inds) | Bonmin::TNLP2FPNLP | |
set_rhs_local_branching_constraint(double rhs_local_branching_constraint) | Bonmin::TNLP2FPNLP | [inline] |
set_use_cutoff_constraint(bool use_cutoff_constraint) | Bonmin::TNLP2FPNLP | [inline] |
set_use_feasibility_pump_objective(bool use_feasibility_pump_objective) | Bonmin::TNLP2FPNLP | [inline] |
set_use_local_branching_constraint(bool use_local_branching_constraint) | Bonmin::TNLP2FPNLP | [inline] |
setLambda(double lambda) | Bonmin::TNLP2FPNLP | [inline] |
setNorm(int norm) | Bonmin::TNLP2FPNLP | [inline] |
setObjectiveScaling(double value) | Bonmin::TNLP2FPNLP | [inline] |
setSigma(double sigma) | Bonmin::TNLP2FPNLP | [inline] |
sigma_ | Bonmin::TNLP2FPNLP | [private] |
TNLP2FPNLP(const Ipopt::SmartPtr< Ipopt::TNLP > tnlp, double objectiveScalingFactor=100) | Bonmin::TNLP2FPNLP | |
TNLP2FPNLP(const Ipopt::SmartPtr< TNLP > tnlp, const Ipopt::SmartPtr< TNLP2FPNLP > other) | Bonmin::TNLP2FPNLP | |
TNLP2FPNLP() | Bonmin::TNLP2FPNLP | [private] |
TNLP2FPNLP(const TNLP2FPNLP &) | Bonmin::TNLP2FPNLP | [private] |
tnlp_ | Bonmin::TNLP2FPNLP | [private] |
use(Ipopt::SmartPtr< TNLP > tnlp) | Bonmin::TNLP2FPNLP | [inline] |
use_cutoff_constraint_ | Bonmin::TNLP2FPNLP | [private] |
use_feasibility_pump_objective_ | Bonmin::TNLP2FPNLP | [private] |
use_local_branching_constraint_ | Bonmin::TNLP2FPNLP | [private] |
vals_ | Bonmin::TNLP2FPNLP | [private] |
~TNLP2FPNLP() | Bonmin::TNLP2FPNLP | [virtual] |