{"id":"W2130895332","doi":"10.1007/s10107-008-0258-1","title":"A retrospective trust-region method for unconstrained optimization","year":2008,"lang":"en","type":"article","venue":"Mathematical Programming","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Trust region; Mathematics; Convergence (economics); Current (fluid); Mathematical optimization; Function (biology); Order (exchange); Numerical analysis; Applied mathematics; Value (mathematics); RADIUS; Computer science; Statistics; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006946327,0.000261023,0.0004895896,0.0001640901,0.0003886224,0.00005957245,0.0002280968,0.000162694,0.0001488642],"category_scores_gemma":[0.004714462,0.0002326726,0.0001902007,0.0005241641,0.0002122,0.0002274077,0.00007457566,0.000235133,0.0000165466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002228064,"about_ca_system_score_gemma":0.00007993283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001888075,"about_ca_topic_score_gemma":0.000001304923,"domain_scores_codex":[0.9977916,0.0001060608,0.000581225,0.0004530051,0.0005018901,0.0005661898],"domain_scores_gemma":[0.9978603,0.0008998007,0.0002054944,0.0003892856,0.0004587467,0.0001863477],"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":[0.0002896686,0.002128944,0.0003873731,0.001522768,0.0003574809,0.0001370973,0.00544558,0.0276056,0.0001038922,0.8318287,0.001942985,0.12825],"study_design_scores_gemma":[0.001154133,0.0001685615,0.00000461776,0.00006356282,0.00004270447,0.0002243512,0.0003709183,0.7262796,0.0002812436,0.270522,0.0005847208,0.0003035706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002593013,0.00001424543,0.9948793,0.0003301182,0.00004714761,0.002017441,0.000005380322,0.000425889,0.002021157],"genre_scores_gemma":[0.006989762,0.000006221481,0.9907253,0.00003767005,0.0001124683,0.0006210653,0.00001634246,0.00008819031,0.001403011],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.698674,"threshold_uncertainty_score":0.9488114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09041040462034387,"score_gpt":0.3916623311692999,"score_spread":0.3012519265489561,"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."}}