{"id":"W4388904464","doi":"10.1016/j.ifacol.2023.10.619","title":"Distributed optimization by Newton consensus over connected digraphs","year":2023,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hessian matrix; Newton's method; Quasi-Newton method; Computer science; Mathematical optimization; Computation; Distributed algorithm; Graph; Laplace operator; Mathematics; Algorithm; Theoretical computer science; Applied mathematics; Distributed computing; Nonlinear system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006346497,0.0008007365,0.0008607095,0.0006242688,0.0005582636,0.0007049352,0.0009104272,0.000916373,0.001604027],"category_scores_gemma":[0.001697726,0.0003999216,0.0004988209,0.0006151625,0.0009287003,0.0009579605,0.001005402,0.0008997212,0.0002645608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009191052,"about_ca_system_score_gemma":0.001164103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004540567,"about_ca_topic_score_gemma":0.004383679,"domain_scores_codex":[0.9995524,0.00015398,0.0000170798,0.0001074107,0.000125563,0.0000435204],"domain_scores_gemma":[0.9993892,0.0003491658,0.00007610045,0.0000492241,0.000104166,0.00003214138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002280538,0.00001119329,0.0001376264,0.00003087469,0.00002083245,0.0000447641,0.00004377349,0.9576808,0.00103788,0.02916422,0.0003995185,0.01140565],"study_design_scores_gemma":[0.000006110649,0.00001146504,0.00002260541,0.000001706647,0.0000021501,0.000005325337,0.000004561827,0.9905912,0.0001826339,0.008794851,0.0003744385,0.000003066992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01162538,0.0001025835,0.9856241,0.0001166204,0.00003104777,0.00002844453,0.00002107469,0.0001250007,0.002325797],"genre_scores_gemma":[0.7834495,0.0003949307,0.2058598,0.0001509654,0.00006904243,0.0002770167,0.0001367532,0.00007058717,0.009591377],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004540567,"threshold_uncertainty_score":0.009028256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073207797552232,"score_gpt":0.238471121155172,"score_spread":0.2277390431796497,"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."}}