{"id":"W4392868315","doi":"10.1016/j.amc.2024.128655","title":"Linearisation techniques and the dual algorithm for a class of mixed singular/continuous control problems in reinsurance. Part II: Numerical aspects","year":2024,"lang":"en","type":"article","venue":"Applied Mathematics and Computation","topic":"Differential Equations and Boundary Problems","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Dual (grammatical number); Class (philosophy); Numerical analysis; Algorithm; Mathematics; Computer science; Applied mathematics; Mathematical optimization; Mathematical analysis; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001389844,0.0007230152,0.0008483588,0.0008650746,0.000390864,0.001207014,0.001130073,0.001085255,0.003920145],"category_scores_gemma":[0.003230677,0.0003970442,0.0008470462,0.000538258,0.001712349,0.001522767,0.002939078,0.002385763,0.0005840453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005278338,"about_ca_system_score_gemma":0.0007121157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001349207,"about_ca_topic_score_gemma":0.001177723,"domain_scores_codex":[0.9995098,0.0002460378,0.00002411535,0.0000627736,0.0001116595,0.00004562362],"domain_scores_gemma":[0.9992649,0.0003897042,0.0000767769,0.00007728719,0.0001257522,0.00006542572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002970603,0.0002221999,0.0010065,0.00052054,0.0001181135,0.0001996802,0.0004063879,0.3300133,0.01741681,0.4812885,0.003568028,0.1649429],"study_design_scores_gemma":[0.00001777774,0.00006385058,0.00009733097,0.00003243365,0.00001079687,0.0000411422,0.00003653269,0.9484522,0.00196078,0.04687985,0.002394278,0.0000130123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009108465,0.0006314754,0.9863941,0.0002334257,0.0001071156,0.00003126284,0.00001190873,0.00007240471,0.003409914],"genre_scores_gemma":[0.4609867,0.001237364,0.5150628,0.0002877848,0.0002637903,0.0002873534,0.0001162469,0.000324404,0.02143356],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003920145,"threshold_uncertainty_score":0.01311415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02102462226494585,"score_gpt":0.2682384850393955,"score_spread":0.2472138627744497,"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."}}