\begin{description}
\item[{\htmlref{acceptable\_compl\_inf\_tol}{opt:acceptable_compl_inf_tol}}] Acceptance threshold for the complementarity conditions
\item[{\htmlref{acceptable\_constr\_viol\_tol}{opt:acceptable_constr_viol_tol}}] Acceptance threshold for the constraint violation
\item[{\htmlref{acceptable\_dual\_inf\_tol}{opt:acceptable_dual_inf_tol}}] Acceptance threshold for the dual infeasibility
\item[{\htmlref{acceptable\_tol}{opt:acceptable_tol}}] Acceptable convergence tolerance (relative)
\item[{\htmlref{alpha\_for\_y}{opt:alpha_for_y}}] Step size for constraint multipliers
\item[{\htmlref{bound\_frac}{opt:bound_frac}}] Desired minimal relative distance of initial point to bound
\item[{\htmlref{bound\_mult\_init\_val}{opt:bound_mult_init_val}}] Initial value for the bound multipliers
\item[{\htmlref{bound\_push}{opt:bound_push}}] Desired minimal absolute distance of initial point to bound
\item[{\htmlref{bound\_relax\_factor}{opt:bound_relax_factor}}] Factor for initial relaxation of the bounds
\item[{\htmlref{compl\_inf\_tol}{opt:compl_inf_tol}}] Acceptance threshold for the complementarity conditions
\item[{\htmlref{constr\_mult\_init\_max}{opt:constr_mult_init_max}}] Maximal allowed least-square guess of constraint multipliers
\item[{\htmlref{constr\_viol\_tol}{opt:constr_viol_tol}}] Desired threshold for the constraint violation
\item[{\htmlref{diverging\_iterates\_tol}{opt:diverging_iterates_tol}}] Threshold for maximal value of primal iterates
\item[{\htmlref{dual\_inf\_tol}{opt:dual_inf_tol}}] Desired threshold for the dual infeasibility
\item[{\htmlref{expect\_infeasible\_problem}{opt:expect_infeasible_problem}}] Enable heuristics to quickly detect an infeasible problem
\item[{\htmlref{file\_print\_level}{opt:file_print_level}}] Verbosity level for output file
\item[halt\_on\_ampl\_error] Exit with message on evaluation error
\item[{\htmlref{hessian\_approximation}{opt:hessian_approximation}}] Can enable Quasi-Newton approximation of hessian
\item[{\htmlref{honor\_original\_bounds}{opt:honor_original_bounds}}] If no, solution might slightly violate bounds
\item[{\htmlref{linear\_scaling\_on\_demand}{opt:linear_scaling_on_demand}}] Enables heuristic for scaling only when seems required
\item[{\htmlref{linear\_solver}{opt:linear_solver}}] Linear solver to be used for step calculation
\item[{\htmlref{linear\_system\_scaling}{opt:linear_system_scaling}}] Method for scaling the linear systems
\item[{\htmlref{ma27\_pivtol}{opt:ma27_pivtol}}] Pivot tolerance for the linear solver MA27
\item[{\htmlref{ma27\_pivtolmax}{opt:ma27_pivtolmax}}] Maximal pivot tolerance for the linear solver MA27
\item[{\htmlref{ma57\_pivot\_order}{opt:ma57_pivot_order}}] Controls pivot order in MA57
\item[{\htmlref{ma57\_pivtol}{opt:ma57_pivtol}}] Pivot tolerance for the linear solver MA57
\item[{\htmlref{ma57\_pivtolmax}{opt:ma57_pivtolmax}}] Maximal pivot tolerance for the linear solver MA57
\item[{\htmlref{max\_cpu\_time}{opt:max_cpu_time}}] CPU time limit
\item[{\htmlref{max\_iter}{opt:max_iter}}] Maximum number of iterations
\item[{\htmlref{max\_refinement\_steps}{opt:max_refinement_steps}}] Maximal number of iterative refinement steps per linear system solve
\item[{\htmlref{max\_soc}{opt:max_soc}}] Maximal number of second order correction trial steps
\item[{\htmlref{maxit}{opt:max_iter}}] (Ipopt name: \htmlref{max\_iter}{opt:max_iter}) Maximum number of iterations
\item[{\htmlref{min\_refinement\_steps}{opt:min_refinement_steps}}] Minimum number of iterative refinement steps per linear system solve
\item[{\htmlref{mu\_init}{opt:mu_init}}] Initial value for the barrier parameter
\item[{\htmlref{mu\_max}{opt:mu_max}}] Maximal value for barrier parameter for adaptive strategy
\item[{\htmlref{mu\_oracle}{opt:mu_oracle}}] Oracle for a new barrier parameter in the adaptive strategy
\item[{\htmlref{mu\_strategy}{opt:mu_strategy}}] Update strategy for barrier parameter
\item[{\htmlref{nlp\_scaling\_max\_gradient}{opt:nlp_scaling_max_gradient}}] Maximum gradient after scaling
\item[{\htmlref{nlp\_scaling\_method}{opt:nlp_scaling_method}}] Select the technique used for scaling the NLP
\item[{\htmlref{obj\_scaling\_factor}{opt:obj_scaling_factor}}] Scaling factor for the objective function
\item[{\htmlref{option\_file\_name}{opt:option_file_name}}] File name of options file (default: ipopt.opt)
\item[{\htmlref{outlev}{opt:print_level}}] (Ipopt name: \htmlref{print\_level}{opt:print_level}) Verbosity level
\item[{\htmlref{output\_file}{opt:output_file}}] File name of an output file (leave unset for no file output)
\item[{\htmlref{pardiso\_matching\_strategy}{opt:pardiso_matching_strategy}}] Matching strategy for linear solver Pardiso
%\item[{\htmlref{pardiso\_out\_of\_core\_power}{opt:pardiso_out_of_core_power}}] Enables out-of-core version of linear solver Pardiso
\item[{\htmlref{print\_level}{opt:print_level}}] Verbosity level
\item[{\htmlref{print\_options\_documentation}{opt:print_options_documentation}}] Print all available options (for ipopt.opt)
\item[{\htmlref{print\_user\_options}{opt:print_user_options}}] Toggle printing of user options
\item[{\htmlref{required\_infeasibility\_reduction}{opt:required_infeasibility_reduction}}] Required infeasibility reduction in restoration phase
\item[{\htmlref{slack\_bound\_frac}{opt:slack_bound_frac}}] Desired minimal relative distance of initial slack to bound
\item[{\htmlref{slack\_bound\_push}{opt:slack_bound_push}}] Desired minimal absolute distance of initial slack to bound
\item[{\htmlref{tol}{opt:tol}}] Desired convergence tolerance (relative)
\item[wantsol] solution report without -AMPL: sum of, 		1 == write .sol file, 		2 == print primal variable values, 		4 == print dual variable values, 		8 == do not print solution message
\item[{\htmlref{warm\_start\_bound\_push}{opt:warm_start_bound_push}}] Enables to specify how much should variables should be pushed inside the feasible region
\item[{\htmlref{warm\_start\_init\_point}{opt:warm_start_init_point}}] Enables to specify bound multiplier values
\item[{\htmlref{warm\_start\_mult\_bound\_push}{opt:warm_start_mult_bound_push}}] Enables to specify how much should bound multipliers should be pushed inside the feasible region
\item[{\htmlref{watchdog\_shortened\_iter\_trigger}{opt:watchdog_shortened_iter_trigger}}] Trigger counter for watchdog procedure
\end{description}
