{"id":"W4323364238","doi":"10.48550/arxiv.2106.11547","title":"On the Douglas-Rachford algorithm for solving possibly inconsistent optimization problems","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Disjoint sets; Generality; Sequence (biology); Algorithm; Shadow (psychology); Mathematics; Limit (mathematics); Regular polygon; Perturbation (astronomy); Convergence (economics); Limit point; Displacement (psychology); Optimization problem; Computer science; Mathematical optimization; Combinatorics; Mathematical analysis; Geometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003668088,0.0002550669,0.0002623508,0.0002415457,0.0004296714,0.000507433,0.001127921,0.0001886786,0.0000818412],"category_scores_gemma":[0.00009474689,0.0002271824,0.0003397685,0.0008245945,0.00004595033,0.0003559091,0.0009163482,0.0002961887,0.00001105827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001902909,"about_ca_system_score_gemma":0.0002815243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006096211,"about_ca_topic_score_gemma":0.0000252358,"domain_scores_codex":[0.9983643,0.0001237371,0.0002532269,0.0008721902,0.0001444073,0.0002421949],"domain_scores_gemma":[0.9977847,0.0003495861,0.0003477921,0.0008510332,0.0005744548,0.00009238179],"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":[0.000003348639,0.00007267017,0.00002802421,0.00001720553,0.0001247742,0.000007172324,0.0001453127,0.8096272,0.000001010966,0.1892842,0.0001547158,0.0005342849],"study_design_scores_gemma":[0.0002964475,0.00003360858,0.00003805838,0.00007170669,0.00009500504,0.000001447571,0.00008946477,0.9836386,0.0000152225,0.01535174,0.000102912,0.0002657223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007880619,0.00002837195,0.9961324,0.001046424,0.0005387944,0.0004769436,0.00002037057,0.0001254074,0.0008431731],"genre_scores_gemma":[0.7103063,0.0002538624,0.2834131,0.001289909,0.0001938447,0.0000214477,0.0003322936,0.00003885303,0.004150385],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7127194,"threshold_uncertainty_score":0.9264229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06262726780689454,"score_gpt":0.1832868859173454,"score_spread":0.1206596181104509,"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."}}