| BINARY enum value | Bonmin::TMINLP | |
| branchingInfo() const | MyTMINLP | [inline, virtual] |
| branchingInfo() const | MyTMINLP | [inline, virtual] |
| CONTINUOUS enum value | Bonmin::TMINLP | |
| Convex enum value | Bonmin::TMINLP | |
| Convexity enum name | Bonmin::TMINLP | |
| eval_f(Index n, const Number *x, bool new_x, Number &obj_value) | MyTMINLP | [virtual] |
| eval_f(Index n, const Number *x, bool new_x, Number &obj_value) | MyTMINLP | [virtual] |
| eval_g(Index n, const Number *x, bool new_x, Index m, Number *g) | MyTMINLP | [virtual] |
| eval_g(Index n, const Number *x, bool new_x, Index m, Number *g) | MyTMINLP | [virtual] |
| eval_gi(Index n, const Number *x, bool new_x, Index i, Number &gi) | Bonmin::TMINLP | [inline, virtual] |
| eval_grad_f(Index n, const Number *x, bool new_x, Number *grad_f) | MyTMINLP | [virtual] |
| eval_grad_f(Index n, const Number *x, bool new_x, Number *grad_f) | MyTMINLP | [virtual] |
| eval_grad_gi(Index n, const Number *x, bool new_x, Index i, Index &nele_grad_gi, Index *jCol, Number *values) | Bonmin::TMINLP | [inline, 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) | MyTMINLP | [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) | MyTMINLP | [virtual] |
| eval_jac_g(Index n, const Number *x, bool new_x, Index m, Index nele_jac, Index *iRow, Index *jCol, Number *values) | MyTMINLP | [virtual] |
| eval_jac_g(Index n, const Number *x, bool new_x, Index m, Index nele_jac, Index *iRow, Index *jCol, Number *values) | MyTMINLP | [virtual] |
| eval_upper_bound_f(Index n, const Number *x, Number &obj_value) | Bonmin::TMINLP | [inline, virtual] |
| finalize_solution(TMINLP::SolverReturn status, Index n, const Number *x, Number obj_value) | MyTMINLP | [virtual] |
| finalize_solution(TMINLP::SolverReturn status, Index n, const Number *x, Number obj_value) | MyTMINLP | [virtual] |
| get_bounds_info(Index n, Number *x_l, Number *x_u, Index m, Number *g_l, Number *g_u) | MyTMINLP | [virtual] |
| get_bounds_info(Index n, Number *x_l, Number *x_u, Index m, Number *g_l, Number *g_u) | MyTMINLP | [virtual] |
| get_constraint_convexities(int m, TMINLP::Convexity *constraints_convexities) const | Bonmin::TMINLP | [inline, virtual] |
| get_constraint_convexities(int number_non_conv, MarkedNonConvex *non_convs) const | Bonmin::TMINLP | [inline, virtual] |
| get_constraints_linearity(Index m, Ipopt::TNLP::LinearityType *const_types) | MyTMINLP | [virtual] |
| get_constraints_linearity(Index m, Ipopt::TNLP::LinearityType *const_types) | MyTMINLP | [virtual] |
| get_nlp_info(Index &n, Index &m, Index &nnz_jac_g, Index &nnz_h_lag, TNLP::IndexStyleEnum &index_style) | MyTMINLP | [virtual] |
| get_nlp_info(Index &n, Index &m, Index &nnz_jac_g, Index &nnz_h_lag, TNLP::IndexStyleEnum &index_style) | MyTMINLP | [virtual] |
| get_number_nonconvex(int &number_non_conv, int &number_concave) const | Bonmin::TMINLP | [inline, virtual] |
| get_scaling_parameters(Number &obj_scaling, bool &use_x_scaling, Index n, Number *x_scaling, bool &use_g_scaling, Index m, Number *g_scaling) | Bonmin::TMINLP | [inline, virtual] |
| get_simple_concave_constraints(int number_concave, SimpleConcaveConstraint *simple_concave) const | Bonmin::TMINLP | [inline, 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) | MyTMINLP | [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) | MyTMINLP | [virtual] |
| get_variables_linearity(Index n, Ipopt::TNLP::LinearityType *var_types) | MyTMINLP | [virtual] |
| get_variables_linearity(Index n, Ipopt::TNLP::LinearityType *var_types) | MyTMINLP | [virtual] |
| get_variables_types(Index n, VariableType *var_types) | MyTMINLP | [virtual] |
| get_variables_types(Index n, VariableType *var_types) | MyTMINLP | [virtual] |
| Bonmin::TMINLP::get_variables_types(Index n, VariableType *var_types)=0 | Bonmin::TMINLP | [pure virtual] |
| hasLinearObjective() | Bonmin::TMINLP | [inline, virtual] |
| hasUpperBoundingObjective() | Bonmin::TMINLP | [inline, virtual] |
| INFEASIBLE enum value | Bonmin::TMINLP | |
| INTEGER enum value | Bonmin::TMINLP | |
| LIMIT_EXCEEDED enum value | Bonmin::TMINLP | |
| MINLP_ERROR enum value | Bonmin::TMINLP | |
| MyTMINLP() | MyTMINLP | [inline] |
| MyTMINLP(const MyTMINLP &other) | MyTMINLP | [inline] |
| MyTMINLP() | MyTMINLP | [inline] |
| MyTMINLP(const MyTMINLP &other) | MyTMINLP | [inline] |
| NonConvex enum value | Bonmin::TMINLP | |
| operator=(const TMINLP &) | Bonmin::TMINLP | [protected] |
| perturbInfo() const | Bonmin::TMINLP | [inline, virtual] |
| printSol_ | MyTMINLP | [private] |
| printSolutionAtEndOfAlgorithm() | MyTMINLP | [inline] |
| printSolutionAtEndOfAlgorithm() | MyTMINLP | [inline] |
| SimpleConcave enum value | Bonmin::TMINLP | |
| SolverReturn enum name | Bonmin::TMINLP | |
| sosConstraints() const | MyTMINLP | [inline, virtual] |
| sosConstraints() const | MyTMINLP | [inline, virtual] |
| SUCCESS enum value | Bonmin::TMINLP | |
| TMINLP() | Bonmin::TMINLP | |
| TMINLP(const TMINLP &) | Bonmin::TMINLP | [protected] |
| TMINLP2TNLP class | Bonmin::TMINLP | [friend] |
| VariableType enum name | Bonmin::TMINLP | |
| ~MyTMINLP() | MyTMINLP | [inline, virtual] |
| ~MyTMINLP() | MyTMINLP | [inline, virtual] |
| ~TMINLP() | Bonmin::TMINLP | [virtual] |