{"id":"W4251314684","doi":"10.23952/jano.1.2019.1.05","title":"Three convergence results for continuous descent methods with a convex objective function","year":2019,"lang":"en","type":"article","venue":"Journal of Applied and Numerical Optimization","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Descent (aeronautics); Convergence (economics); Mathematics; Function (biology); Convex function; Regular polygon; Mathematical optimization; Applied mathematics; Computer science; Economics; Physics; Geometry; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008421288,0.002490395,0.001301665,0.002656057,0.00126556,0.002639944,0.002858578,0.00302426,0.004587087],"category_scores_gemma":[0.02590639,0.0007401412,0.002654265,0.001364379,0.004448453,0.003408434,0.003820231,0.005039321,0.002205402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0017139,"about_ca_system_score_gemma":0.002036063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002637819,"about_ca_topic_score_gemma":0.001558387,"domain_scores_codex":[0.9973426,0.0008296453,0.0001615897,0.0003242026,0.001110754,0.0002311452],"domain_scores_gemma":[0.9854651,0.007470586,0.0008557308,0.001099894,0.004046279,0.001062477],"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":[0.0003655353,0.0002690664,0.002586829,0.001151488,0.0002267266,0.0005124963,0.0007425794,0.1469499,0.01153047,0.6843708,0.0155801,0.135714],"study_design_scores_gemma":[0.00005584234,0.0001957503,0.0006624249,0.000262587,0.00007151081,0.000464473,0.00009419231,0.8158915,0.008949285,0.1610607,0.01219081,0.0001009852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002826403,0.00123977,0.9876187,0.0005088816,0.0002189995,0.00006255877,0.00004997266,0.0001619922,0.007312742],"genre_scores_gemma":[0.2577124,0.004541697,0.7122313,0.001196935,0.0009397844,0.0007588125,0.0004529378,0.001148567,0.02101754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008421288,"threshold_uncertainty_score":0.04453653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02654980201793841,"score_gpt":0.336297206979644,"score_spread":0.3097474049617056,"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."}}