Index _ | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | R | S | T | U | V | W | X _ __init__() (pympcc.IPOPTStatus method) (pympcc.IterationInfo method) (pympcc.MPCCProblem method) (pympcc.MPCCResult method) (pympcc.MPCCSolver method) (pympcc.MultiStartResult method) (pympcc.ParametricMPCC method) (pympcc.PresolveMap method) (pympcc.SensitivityResult method) (pympcc.StructuredMPCC method) (pympcc.TNLPResult method) A A_eq (pympcc.StructuredMPCC attribute) A_ineq (pympcc.StructuredMPCC attribute) ACCEPTABLE (pympcc.IPOPTStatus attribute) active_row_labels (pympcc.SensitivityResult attribute), [1] active_row_labels() (in module pympcc) active_set (pympcc.TNLPResult attribute), [1] active_sets() (in module pympcc) autoscale_comp_pairs() (in module pympcc) B b_eq (pympcc.StructuredMPCC attribute) b_ineq (pympcc.StructuredMPCC attribute) b_stationary (pympcc.MPCCResult attribute) b_stationary_min_descent (pympcc.MPCCResult attribute) b_stationary_witness (pympcc.MPCCResult attribute) BAD_NUMBER (pympcc.IPOPTStatus attribute) BAD_OPTION (pympcc.IPOPTStatus attribute) BAD_PROBLEM (pympcc.IPOPTStatus attribute) best (pympcc.MultiStartResult attribute), [1] C classify_cq() (in module pympcc) classify_stationarity() (in module pympcc) cleanup_accepted (pympcc.MPCCResult attribute) cleanup_active_set (pympcc.MPCCResult attribute) cleanup_n_iter (pympcc.MPCCResult attribute) cleanup_obj (pympcc.MPCCResult attribute) cleanup_status (pympcc.MPCCResult attribute) comp_box_pairs (pympcc.MPCCProblem attribute) comp_G (pympcc.MPCCProblem attribute) (pympcc.ParametricMPCC attribute) (pympcc.StructuredMPCC attribute) comp_G_jacobian (pympcc.MPCCProblem attribute) (pympcc.StructuredMPCC attribute) comp_G_jacobian_sparsity (pympcc.MPCCProblem attribute) comp_G_scale (pympcc.MPCCProblem attribute) (pympcc.MPCCResult attribute) comp_H (pympcc.MPCCProblem attribute) (pympcc.ParametricMPCC attribute) (pympcc.StructuredMPCC attribute) comp_H_jacobian (pympcc.MPCCProblem attribute) (pympcc.StructuredMPCC attribute) comp_H_jacobian_sparsity (pympcc.MPCCProblem attribute) comp_H_scale (pympcc.MPCCProblem attribute) (pympcc.MPCCResult attribute) comp_residual (pympcc.IterationInfo attribute) (pympcc.MPCCResult attribute), [1] (pympcc.MultiStartResult property) comp_residual_mean (pympcc.IterationInfo attribute) (pympcc.MPCCResult attribute), [1] comp_var_pairs (pympcc.MPCCProblem attribute) comp_var_pairs_bulk (pympcc.MPCCProblem attribute) compute_kkt_residual() (in module pympcc) cq (pympcc.MPCCResult attribute) cq_active_set_sizes (pympcc.MPCCResult attribute) cq_rank_deficit (pympcc.MPCCResult attribute) D degeneracy_report (pympcc.MPCCResult attribute) degeneracy_report() (in module pympcc) derivatives (pympcc.MPCCProblem attribute) (pympcc.StructuredMPCC attribute) DIVERGING (pympcc.IPOPTStatus attribute) dlam_dp (pympcc.SensitivityResult attribute), [1] dx_dp (pympcc.SensitivityResult attribute), [1] E entered_restoration (pympcc.IterationInfo attribute) epsilon (pympcc.IterationInfo attribute) eq_constraints (pympcc.MPCCProblem attribute) (pympcc.ParametricMPCC attribute) eq_jacobian (pympcc.MPCCProblem attribute) eq_jacobian_sparsity (pympcc.MPCCProblem attribute) eq_nl (pympcc.StructuredMPCC attribute) EXCEPTION (pympcc.IPOPTStatus attribute) expand_comp() (pympcc.PresolveMap method) expand_result() (pympcc.PresolveMap method) expand_x() (pympcc.PresolveMap method) F failures (pympcc.MultiStartResult attribute), [1] fd_h (pympcc.MPCCProblem attribute) (pympcc.StructuredMPCC attribute) fd_mode (pympcc.MPCCProblem attribute) (pympcc.StructuredMPCC attribute) fixed_vals (pympcc.PresolveMap attribute) fixed_vars (pympcc.PresolveMap attribute) from_lower_level() (in module pympcc.bilevel) from_nl() (in module pympcc.frontend.ampl) G G (pympcc.MPCCResult attribute), [1] gradient (pympcc.MPCCProblem attribute) (pympcc.StructuredMPCC attribute) H H (pympcc.MPCCResult attribute), [1] has_comp_scale (pympcc.MPCCProblem property) hessian_condition_estimate (pympcc.MPCCResult attribute) history (pympcc.MPCCResult attribute), [1] I ineq_constraints (pympcc.MPCCProblem attribute) (pympcc.ParametricMPCC attribute) ineq_jacobian (pympcc.MPCCProblem attribute) ineq_jacobian_sparsity (pympcc.MPCCProblem attribute) ineq_nl (pympcc.StructuredMPCC attribute) INFEASIBLE (pympcc.IPOPTStatus attribute) initial_point_statistics() (in module pympcc) initial_point_stats (pympcc.MPCCResult attribute) INTERNAL_ERR (pympcc.IPOPTStatus attribute) IPOPTStatus (class in pympcc) is_identity (pympcc.PresolveMap property) is_sparse (pympcc.MPCCProblem property) iter_time (pympcc.IterationInfo attribute) IterationInfo (class in pympcc) J jac_col_norms (pympcc.MPCCResult attribute) jac_condition (pympcc.MPCCResult attribute) jac_eq_nl (pympcc.StructuredMPCC attribute) jac_ineq_nl (pympcc.StructuredMPCC attribute) jac_norms() (in module pympcc) jac_row_norms (pympcc.MPCCResult attribute) jax_sparsity_tol (pympcc.MPCCProblem attribute) (pympcc.StructuredMPCC attribute) K keep_comp (pympcc.PresolveMap attribute) keep_eq (pympcc.PresolveMap attribute) keep_ineq (pympcc.PresolveMap attribute) keep_vars (pympcc.PresolveMap attribute) kkt_condition (pympcc.SensitivityResult attribute), [1] kkt_residual (pympcc.IterationInfo attribute) (pympcc.MPCCResult attribute) (pympcc.TNLPResult attribute), [1] L lagrangian_hessian (pympcc.MPCCProblem attribute) lagrangian_hessian_slack (pympcc.MPCCProblem attribute) lagrangian_hessian_slack_sparsity (pympcc.MPCCProblem attribute) lagrangian_hessian_sparsity (pympcc.MPCCProblem attribute) M materialise() (pympcc.ParametricMPCC method) MAX_ITER (pympcc.IPOPTStatus attribute) MAX_TIME (pympcc.IPOPTStatus attribute) merit_cross_check (pympcc.MPCCResult attribute) merit_cross_check() (in module pympcc) message (pympcc.IterationInfo attribute) (pympcc.MPCCResult attribute), [1] (pympcc.TNLPResult attribute), [1] MPCCProblem (class in pympcc) MPCCResult (class in pympcc) MPCCSolver (class in pympcc) mult_comp_G (pympcc.TNLPResult attribute), [1] mult_comp_G_mpcc (pympcc.MPCCResult attribute) mult_comp_H (pympcc.TNLPResult attribute), [1] mult_comp_H_mpcc (pympcc.MPCCResult attribute) mult_eq (pympcc.TNLPResult attribute), [1] mult_g (pympcc.MPCCResult attribute) mult_ineq (pympcc.TNLPResult attribute), [1] multistart() (in module pympcc) MultiStartResult (class in pympcc) N n (pympcc.MPCCProblem attribute) (pympcc.ParametricMPCC attribute), [1] (pympcc.StructuredMPCC attribute) n_comp (pympcc.MPCCProblem attribute) (pympcc.ParametricMPCC attribute), [1] (pympcc.StructuredMPCC attribute) n_comp_orig (pympcc.PresolveMap attribute) n_eq (pympcc.MPCCProblem attribute) (pympcc.ParametricMPCC attribute) (pympcc.PresolveMap attribute) (pympcc.StructuredMPCC property) n_ineq (pympcc.MPCCProblem attribute) (pympcc.ParametricMPCC attribute) (pympcc.PresolveMap attribute) (pympcc.StructuredMPCC property) n_ipopt_iter (pympcc.IterationInfo attribute) n_ipopt_iter_total (pympcc.MPCCResult attribute) n_iter (pympcc.TNLPResult attribute), [1] n_lin_eq (pympcc.StructuredMPCC property) n_lin_ineq (pympcc.StructuredMPCC property) n_nl_eq (pympcc.StructuredMPCC attribute) n_nl_ineq (pympcc.StructuredMPCC attribute) n_orig (pympcc.PresolveMap attribute) n_success (pympcc.MultiStartResult property) n_violations (pympcc.TNLPResult attribute), [1] NO_DOF (pympcc.IPOPTStatus attribute) NO_MEMORY (pympcc.IPOPTStatus attribute) O obj (pympcc.IterationInfo attribute) (pympcc.MPCCResult attribute), [1] (pympcc.MultiStartResult property) (pympcc.TNLPResult attribute), [1] objective (pympcc.MPCCProblem attribute) (pympcc.ParametricMPCC attribute), [1] (pympcc.StructuredMPCC attribute) P ParametricMPCC (class in pympcc) per_pair_status (pympcc.MPCCResult attribute) prefix_G_eq (pympcc.PresolveMap attribute) prefix_H_eq (pympcc.PresolveMap attribute) presolve() (in module pympcc) PresolveMap (class in pympcc) promote_G (pympcc.PresolveMap attribute) promote_H (pympcc.PresolveMap attribute) R rank_deficit (pympcc.SensitivityResult attribute), [1] resolve() (pympcc.MPCCSolver method) restoration_iter_count (pympcc.IterationInfo attribute) RESTORE_FAIL (pympcc.IPOPTStatus attribute) runs (pympcc.MultiStartResult attribute), [1] S sensitivity() (in module pympcc) SensitivityResult (class in pympcc) skipped_reason (pympcc.SensitivityResult attribute), [1] SMALL_STEP (pympcc.IPOPTStatus attribute) solve() (in module pympcc) (pympcc.MPCCSolver method) solve_jax() (in module pympcc) solve_time (pympcc.MPCCResult attribute), [1] (pympcc.TNLPResult attribute), [1] SOLVED (pympcc.IPOPTStatus attribute) sosc (pympcc.MPCCResult attribute) sosc_check() (in module pympcc) sosc_min_eigenvalue (pympcc.MPCCResult attribute) sosc_skipped_reason (pympcc.MPCCResult attribute) stationarity (pympcc.MPCCResult attribute) (pympcc.TNLPResult attribute), [1] status (pympcc.IterationInfo attribute) (pympcc.MPCCResult attribute), [1] (pympcc.TNLPResult attribute), [1] STEP_ERROR (pympcc.IPOPTStatus attribute) strategy (pympcc.MPCCResult attribute), [1] StructuredMPCC (class in pympcc) success (pympcc.MPCCResult attribute), [1] (pympcc.MultiStartResult property) (pympcc.TNLPResult attribute), [1] summary() (pympcc.MPCCResult method) T time_limit_hit (pympcc.MPCCResult attribute) tnlp_refined (pympcc.MPCCResult attribute) TNLPResult (class in pympcc) to_dataframe() (pympcc.MPCCResult method) to_json() (pympcc.MPCCResult method) to_mpcc_problem() (pympcc.StructuredMPCC method) U unique_optima() (pympcc.MultiStartResult method) unscale_comp_multipliers() (pympcc.MPCCResult method) unscale_multipliers() (in module pympcc) use_jax_hessian (pympcc.MPCCProblem attribute) (pympcc.StructuredMPCC attribute) used_pseudoinverse (pympcc.SensitivityResult attribute), [1] USER_STOP (pympcc.IPOPTStatus attribute) V verify_b_stationarity() (in module pympcc) W warmstart_savings_iter (pympcc.MPCCResult attribute) X x (pympcc.IterationInfo attribute) (pympcc.MPCCResult attribute), [1] (pympcc.MultiStartResult property) (pympcc.TNLPResult attribute), [1] x0 (pympcc.MPCCProblem attribute) (pympcc.StructuredMPCC attribute) xl (pympcc.MPCCProblem attribute) (pympcc.ParametricMPCC attribute) (pympcc.StructuredMPCC attribute) xu (pympcc.MPCCProblem attribute) (pympcc.ParametricMPCC attribute) (pympcc.StructuredMPCC attribute)