IPOPT Options#
ampl: option solver ipopt; # change the solver
ampl: option ipopt_options 'option1=value1 option2=value2'; # specify options
ampl: solve; # solve the problem
Solver options obtained with $ ipopt -=.
acceptable_compl_inf_tol Acceptance threshold for the complementarity conditions
acceptable_constr_viol_tol Acceptance threshold for the constraint violation
acceptable_dual_inf_tol Acceptance threshold for the dual infeasibility
acceptable_tol Acceptable convergence tolerance (relative)
alpha_for_y Step size for constraint multipliers
bound_frac Desired minimal relative distance of initial point to bound
bound_mult_init_val Initial value for the bound multipliers
bound_push Desired minimal absolute distance of initial point to bound
bound_relax_factor Factor for initial relaxation of the bounds
compl_inf_tol Acceptance threshold for the complementarity conditions
constr_mult_init_max Maximal allowed least-square guess of constraint multipliers
constr_viol_tol Desired threshold for the constraint violation
diverging_iterates_tol Threshold for maximal value of primal iterates
dual_inf_tol Desired threshold for the dual infeasibility
expect_infeasible_problem Enable heuristics to quickly detect an infeasible problem
file_print_level Verbosity level for output file
halt_on_ampl_error Exit with message on evaluation error
hessian_approximation Can enable Quasi-Newton approximation of hessian
honor_original_bounds If no, solution might slightly violate bounds
linear_scaling_on_demand Enables heuristic for scaling only when seems required
linear_solver Linear solver to be used for step calculation
linear_system_scaling Method for scaling the linear systems
ma27_pivtol Pivot tolerance for the linear solver MA27
ma27_pivtolmax Maximal pivot tolerance for the linear solver MA27
ma57_pivot_order Controls pivot order in MA57
ma57_pivtol Pivot tolerance for the linear solver MA57
ma57_pivtolmax Maximal pivot tolerance for the linear solver MA57
max_cpu_time CPU time limit
max_iter Maximum number of iterations
max_refinement_steps Maximal number of iterative refinement steps per linear system solve
max_soc Maximal number of second order correction trial steps
maxit Maximum number of iterations
min_refinement_steps Minimum number of iterative refinement steps per linear system solve
mu_init Initial value for the barrier parameter
mu_max Maximal value for barrier parameter for adaptive strategy
mu_oracle Oracle for a new barrier parameter in the adaptive strategy
mu_strategy Update strategy for barrier parameter
nlp_scaling_max_gradient Maximum gradient after scaling
nlp_scaling_method Select the technique used for scaling the NLP
obj_scaling_factor Scaling factor for the objective function
option_file_name File name of options file (default: ipopt.opt)
outlev Verbosity level
output_file File name of an output file (leave unset for no file output)
pardiso_matching_strategy Matching strategy for linear solver Pardiso
print_level Verbosity level
print_options_documentation Print all available options (for ipopt.opt)
print_user_options Toggle printing of user options
required_infeasibility_reduction Required infeasibility reduction in restoration phase
slack_bound_frac Desired minimal relative distance of initial slack to bound
slack_bound_push Desired minimal absolute distance of initial slack to bound
tol Desired convergence tolerance (relative)
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
warm_start_bound_push Enables to specify how much should variables should be pushed inside the feasible region
warm_start_init_point Enables to specify bound multiplier values
warm_start_mult_bound_push Enables to specify how much should bound multipliers should be pushed inside the feasible region
watchdog_shortened_iter_trigger Trigger counter for watchdog procedure