{"id":"W2371009812","doi":"","title":"Optimality conditions for generalized quasi-differentiable optimization problems with inequality constraints","year":2006,"lang":"en","type":"article","venue":"Dalian Ligong Daxue xuebao","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Differentiable function; Mathematics; Mathematical optimization; Bilevel optimization; Constraint (computer-aided design); Lemma (botany); Optimization problem; Class (philosophy); Set (abstract data type); Homogeneous; Computer science; Pure mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003074003,0.001049647,0.00110742,0.0009970132,0.0006326438,0.001713193,0.0007112392,0.001278152,0.004633226],"category_scores_gemma":[0.005625668,0.0005519781,0.00107849,0.0006475766,0.002423161,0.002437232,0.002000434,0.002644159,0.0007475947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000955793,"about_ca_system_score_gemma":0.00160793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002031181,"about_ca_topic_score_gemma":0.001699568,"domain_scores_codex":[0.9988105,0.0004567929,0.00009305303,0.0002157642,0.0002880201,0.0001357614],"domain_scores_gemma":[0.9978952,0.001147748,0.0002572039,0.0001305585,0.000441478,0.0001278154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005721523,0.00003683764,0.0004983306,0.0002384762,0.00004435661,0.0002485541,0.0002065287,0.109589,0.007767363,0.8635117,0.003440459,0.01436116],"study_design_scores_gemma":[0.00003565839,0.0001120069,0.0006732729,0.00007697887,0.00002458781,0.000124204,0.0001176103,0.580038,0.002776864,0.4106537,0.005334625,0.00003254267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02514402,0.0005878449,0.9592789,0.0008702686,0.0001177256,0.00008161792,0.0002159889,0.00009854027,0.01360513],"genre_scores_gemma":[0.7132001,0.002283057,0.2663179,0.0005818979,0.000413794,0.0005487885,0.0008727178,0.0003548994,0.01542679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004633226,"threshold_uncertainty_score":0.01625711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165238592599473,"score_gpt":0.2469223096324311,"score_spread":0.2303984503724838,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}