Options available via the AMPL Interface

The following is a list of options that is available via AMPL:

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
(Ipopt name: max_iter) 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
(Ipopt name: print_level) 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