{"id":"W4292072226","doi":"10.23919/ecc55457.2022.9838106","title":"Distributed Convex Optimization on the Nonnegative Orthant","year":2022,"lang":"en","type":"article","venue":"2022 European Control Conference (ECC)","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Orthant; Lipschitz continuity; Mathematical optimization; Convex function; Convex optimization; Regular polygon; Mathematics; Euclidean geometry; Optimization problem; Graph; Concave function; Computer science; Applied mathematics; Discrete mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001432706,0.00137468,0.001232812,0.0003476086,0.0003767293,0.001265304,0.0008349296,0.0009983948,0.001803664],"category_scores_gemma":[0.002860494,0.0003729599,0.0006931178,0.0006121662,0.00155175,0.001515822,0.001280776,0.001579505,0.0002887118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008593812,"about_ca_system_score_gemma":0.0007796038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001960802,"about_ca_topic_score_gemma":0.001644534,"domain_scores_codex":[0.9990977,0.0003732413,0.00003033037,0.0002165262,0.0002026062,0.00007960032],"domain_scores_gemma":[0.9990131,0.0005797007,0.000111527,0.00007028357,0.0001607401,0.0000646335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007128574,0.0000318485,0.0002110174,0.00009533765,0.00003966344,0.0001585586,0.00004296541,0.8539529,0.0030875,0.1248372,0.001554448,0.0159173],"study_design_scores_gemma":[0.00000597673,0.00001623973,0.00003858825,0.00000287737,0.000002738312,0.00001017313,0.000004186293,0.9815927,0.0001806569,0.017742,0.0004014689,0.000002414002],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00799628,0.0002344322,0.9872314,0.0002415949,0.00007255642,0.0000155592,0.00002772081,0.0000512394,0.004129193],"genre_scores_gemma":[0.8514487,0.0008071965,0.1349596,0.0002346971,0.000176519,0.0001698266,0.0001566436,0.0001170602,0.01192979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001960802,"threshold_uncertainty_score":0.007576942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119696745543266,"score_gpt":0.2041248784351951,"score_spread":0.1829279109797624,"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."}}