IPOPT to AIMMS Mapping

Description

The table shows in the left column the parameters from IPOPT that can be set in AIMMS; the right column displays for each IPOPT parameter the associated AIMMS option.

Name in IPOPT	Option name in AIMMS
accept_every_trial_step	Always accept full trial step
acceptable_compl_inf_tol	Acceptable complementarity tolerance
acceptable_constr_viol_tol	Acceptable constraint violation tolerance
acceptable_dual_inf_tol	Acceptable dual infeasibility tolerance
acceptable_iter	Maximum number of acceptable iterations
acceptable_obj_change_tol	Acceptable objective change tolerance
acceptable_tol	Acceptable relative convergence tolerance
alpha_for_y	Constraint multipliers step size method
alpha_for_y_tol	Equality multipliers switch tolerance
barrier_tol_factor	Barrier convergence tolerance factor
bound_frac	Point to bound relative distance
bound_mult_init_method	Bound multipliers initialization method
bound_mult_init_val	Initial value for bound multipliers
bound_mult_reset_threshold	Bound multipliers reset threshold
bound_push	Point to bound absolute distance
bound_relax_factor	Factor for initial bounds relaxation
check_derivatives_for_naninf	Check derivatives for invalid numbers
compl_inf_tol	Complementarity tolerance
constr_mult_init_max	Constraint multipliers initial guess limit
constr_mult_reset_threshold	Constraint multipliers reset threshold
constr_viol_tol	Constraint violation tolerance
corrector_type	Corrector steps type
derivative_test	Derivative testing
derivative_test_perturbation	Derivative test perturbation size
derivative_test_print_all	Derivative checker verbosity
derivative_test_tol	Derivative test tolerance
diverging_iterates_tol	Diverging iterates tolerance
dual_inf_tol	Dual infeasibility tolerance
evaluate_orig_obj_at_resto_trial	Use original objective function in restoration phase
expect_infeasible_problem	Quickly detect infeasible problem
expect_infeasible_problem_ctol	Minimum violation infeasible problem
expect_infeasible_problem_ytol	Maximum multipliers infeasible problem
first_hessian_perturbation	First Hessian perturbation size
fixed_mu_oracle	Fixed mode oracle
fixed_variable_treatment	Fixed variable handling
hessian_approximation	Method for Hessian computation
hessian_constant	Assume quadratic problem
honor_original_bounds	Honor original bounds
jac_c_constant	Assume equality constraints are linear
jac_d_constant	Assume inequality constraints are linear
jacobian_regularization_value	Jacobian regularization value
limited_memory_max_history	Hessian approximation history memory limit
limited_memory_max_skipping	Hessian approximation successive iterations limit
linear_scaling_on_demand	Linear system scaling
linear_solver	Linear solver selection
linear_system_scaling	Linear system scaling method
ma27_la_init_factor	MA27 real workspace memory
ma27_liw_init_factor	MA27 integer workspace memory
ma27_meminc_factor	MA27 increment factor for workspace size
ma27_pivtol	MA27 pivot tolerance
ma27_pivtolmax	MA27 maximum pivot tolerance
ma57_automatic_scaling	MA57 scaling
ma57_block_size	MA57 block size
ma57_node_amalgamation	MA57 node amalgamation parameter
ma57_pivot_order	MA57 pivot order
ma57_pivtol	MA57 pivot tolerance
ma57_pivtolmax	MA57 maximum pivot tolerance
ma57_pre_alloc	MA57 work space memory safety factor
ma57_small_pivot_flag	MA57 small pivot parameter
ma77_u	MA77 pivot tolerance
ma77_umax	MA77 maximum pivot tolerance
ma86_u	MA86 pivot tolerance
ma86_umax	MA86 maximum pivot tolerance
ma97_u	MA97 pivot tolerance
ma97_umax	MA97 maximum pivot tolerance
max_hessian_perturbation	Maximum Hessian perturbation
max_iter	Maximum number of iterations
max_refinement_steps	Maximum number of refinement steps
max_soc	Second order correction trial steps limit
mehrotra_algorithm	Execute Mehrotra algorithm
min_hessian_perturbation	Minimum Hessian perturbation
min_refinement_steps	Minimum number of refinement steps
mu_init	Barrier parameter initial value
mu_linear_decrease_factor	Linear decrease factor barrier parameter
mu_max	Maximum value for barrier parameter
mu_max_fact	Adaptive strategy factor limit
mu_min	Minimum value for barrier parameter
mu_oracle	Adaptive strategy oracle
mu_strategy	Barrier parameter update strategy
mu_superlinear_decrease_power	Superlinear decrease rate barrier parameter
mumps_mem_percent	MUMPS working space percentage increase
mumps_permuting_scaling	MUMPS permuting and scaling
mumps_pivot_order	MUMPS pivot order
mumps_pivtol	MUMPS pivot tolerance
mumps_pivtolmax	MUMPS maximum pivot tolerance
mumps_scaling	MUMPS scaling
nlp_lower_bound_inf	Minus infinity lower bound
nlp_scaling_max_gradient	Maximum gradient after NLP scaling
nlp_scaling_method	NLP scaling method
nlp_upper_bound_inf	Infinity upper bound
obj_scaling_factor	Objective function scaling factor
perturb_dec_fact	Hessian perturbation decrease factor
perturb_inc_fact	Hessian perturbation increase factor
perturb_inc_fact_first	First Hessian perturbation increase factor
point_perturbation_radius	Maximum perturbation of evaluation point
print_level	Output verbosity level
print_options_documentation	Print all available algorithmic options
print_user_options	Print all user selected options
quality_function_max_section_steps	Quality function section steps limit
recalc_y	Recalculate constraint multipliers
recalc_y_feas_tol	Recalculate constraint multipliers tolerance
required_infeasibility_reduction	Required infeasibility reduction
slack_bound_frac	Slack to bound relative distance
slack_bound_push	Slack to bound absolute distance
soft_resto_pderror_reduction_factor	Reduction factor primal dual error
start_with_resto	Force start in restoration phase
tol	Relative convergence tolerance
watchdog_shortened_iter_trigger	Watchdog shortened iteration trigger
watchdog_trial_iter_max	Maximum number of watchdog iterations