{"id":"W2393392126","doi":"","title":"Convergence Analysis of General Decomposition Algorithm for Solving General Constrained Variational Inequality Problems","year":2006,"lang":"en","type":"article","venue":"Mathematica Applicata","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Variational inequality; Augmented Lagrangian method; Mathematics; Convergence (economics); Duality (order theory); Lagrangian; Decomposition; Lagrangian relaxation; Applied mathematics; Mathematical optimization; Decomposition method (queueing theory); Pure mathematics; Discrete mathematics","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":[0.0005373848,0.0001446335,0.0003815129,0.0002530385,0.0001283264,0.00008878181,0.0004907799,0.00006211229,0.0001287045],"category_scores_gemma":[0.00002300361,0.0001365679,0.0002293069,0.001247933,0.00004648399,0.0002116306,0.00009850733,0.00004094355,0.000008509439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003926361,"about_ca_system_score_gemma":0.00005826771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009278432,"about_ca_topic_score_gemma":0.000009530196,"domain_scores_codex":[0.9983447,0.0000359416,0.0006886683,0.0003909035,0.0003477796,0.0001920555],"domain_scores_gemma":[0.9985702,0.0002233548,0.0003887321,0.0004444466,0.0003165295,0.000056711],"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":[0.000001780421,0.000269897,0.0002105821,0.00004040717,0.0004108701,1.786403e-7,0.00009742475,0.04264713,0.003979023,0.9506414,0.0002679499,0.001433345],"study_design_scores_gemma":[0.0002549922,0.00001307992,0.001493849,0.000004670325,0.0002947316,0.000001497461,0.0000034379,0.9401429,0.001257062,0.0563287,0.00005927793,0.0001457488],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002110106,0.00001143544,0.9963478,0.0004535841,0.00002704216,0.000358454,0.0001708469,0.00007229773,0.0004484702],"genre_scores_gemma":[0.1286213,0.000002175564,0.8702098,0.0001005752,0.00006610847,0.0001794129,0.0006405638,0.000007456254,0.0001726382],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8974958,"threshold_uncertainty_score":0.5569076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709813799025979,"score_gpt":0.2776029922702029,"score_spread":0.2605048542799431,"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."}}