, including all inherited members.
cutoff_ | Bonmin::TNLP2FPNLP | [private] |
dist2point(const Number *x) | Bonmin::TNLP2FPNLP | [private] |
eval_f(Index n, const Number *x, bool new_x, Number &obj_value) | Bonmin::TNLP2FPNLP | [virtual] |
eval_g(Index n, const Number *x, bool new_x, Index m, Number *g) | Bonmin::TNLP2FPNLP | [virtual] |
eval_grad_f(Index n, const Number *x, bool new_x, Number *grad_f) | Bonmin::TNLP2FPNLP | [virtual] |
eval_h(Index n, const Number *x, bool new_x, Number obj_factor, Index m, const Number *lambda, bool new_lambda, Index nele_hess, Index *iRow, Index *jCol, Number *values) | Bonmin::TNLP2FPNLP | [virtual] |
eval_jac_g(Index n, const Number *x, bool new_x, Index m, Index nele_jac, Index *iRow, Index *jCol, Number *values) | Bonmin::TNLP2FPNLP | [virtual] |
finalize_solution(SolverReturn status, Index n, const Number *x, const Number *z_L, const Number *z_U, Index m, const Number *g, const Number *lambda, Number obj_value, const IpoptData *ip_data, IpoptCalculatedQuantities *ip_cq) | Bonmin::TNLP2FPNLP | [virtual] |
get_bounds_info(Index n, Number *x_l, Number *x_u, Index m, Number *g_l, Number *g_u) | Bonmin::TNLP2FPNLP | [virtual] |
get_constraints_linearity(Index m, LinearityType *const_types) | Bonmin::TNLP2FPNLP | [inline, virtual] |
get_nlp_info(Index &n, Index &m, Index &nnz_jac_g, Index &nnz_h_lag, TNLP::IndexStyleEnum &index_style) | Bonmin::TNLP2FPNLP | [virtual] |
get_starting_point(Index n, bool init_x, Number *x, bool init_z, Number *z_L, Number *z_U, Index m, bool init_lambda, Number *lambda) | Bonmin::TNLP2FPNLP | [inline, virtual] |
get_variables_linearity(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(Number cutoff) | Bonmin::TNLP2FPNLP | |
set_dist2point_obj(int n, const Number *vals, const 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 SmartPtr< TNLP > tnlp, double objectiveScalingFactor=100) | Bonmin::TNLP2FPNLP | |
TNLP2FPNLP(const SmartPtr< TNLP > tnlp, const 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] |