{"id":"W4230794122","doi":"10.23952/jano.2.2020.2.05","title":"Weak convergence of a primal-dual algorithm for split common fixed-point problems in Hilbert spaces","year":2020,"lang":"en","type":"article","venue":"Journal of Applied and Numerical Optimization","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tianjin Municipal Education Commission","keywords":"Convergence (economics); Hilbert space; Mathematics; Fixed point; Dual (grammatical number); Algorithm; Weak convergence; Computer science; Pure mathematics; Mathematical analysis; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002364543,0.0001014969,0.000330894,0.0001095848,0.00004052534,0.00005767641,0.0001828776,0.00005230762,0.00003071694],"category_scores_gemma":[0.00003778836,0.00008499195,0.00007159542,0.0005118326,0.00002649064,0.0003091184,0.00005783747,0.00009608528,7.129904e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002227469,"about_ca_system_score_gemma":0.00005858198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005789997,"about_ca_topic_score_gemma":3.098848e-7,"domain_scores_codex":[0.9988708,0.00002708033,0.0005782491,0.0001697541,0.0002423712,0.0001116913],"domain_scores_gemma":[0.9990039,0.0001049296,0.0005108324,0.00007034725,0.0001964922,0.0001134714],"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":[0.00005345403,0.000117936,0.0002810517,0.00003073443,0.0000380639,8.019807e-7,0.0007708768,0.9731792,0.0001701768,0.01427667,0.000150613,0.01093045],"study_design_scores_gemma":[0.0007869058,0.0002122456,0.0002905235,0.00001564204,0.00002245276,0.000004754683,0.00006081491,0.9969224,0.000293484,0.000872099,0.0004231483,0.00009550017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003270051,0.00005313064,0.9953051,0.003807925,0.00004546637,0.00016712,0.000003732929,0.000009804219,0.0002806676],"genre_scores_gemma":[0.2702754,0.000120652,0.7290125,0.0004988916,0.00006039878,0.000006757743,0.00000846573,0.000007037914,0.000009797005],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2699484,"threshold_uncertainty_score":0.3465871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184532565063664,"score_gpt":0.2279909849116176,"score_spread":0.2161456592609809,"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."}}