{"id":"W4206912236","doi":"10.23952/jnva.6.2022.1.06","title":"Accelerated inertial subgradient extragradient algorithms with non-monotonic step sizes for equilibrium problems and fixed point problems","year":2022,"lang":"en","type":"article","venue":"Journal of Nonlinear and Variational Analysis","topic":"Aerospace Engineering and Control Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subgradient method; Monotonic function; Inertial frame of reference; Fixed point; Point (geometry); Mathematics; Mathematical optimization; Algorithm; Applied mathematics; Computer science; Mathematical analysis; Physics; Geometry","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":[0.0004847078,0.0001867656,0.0004671344,0.0002968411,0.0001280961,0.00008183911,0.0001042148,0.00004205179,0.00001984897],"category_scores_gemma":[0.00001523242,0.000146885,0.0001617834,0.0005208767,0.00001786521,0.0001524642,0.00003035769,0.0002180322,1.926856e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009304532,"about_ca_system_score_gemma":0.00004577884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004221033,"about_ca_topic_score_gemma":0.00002667892,"domain_scores_codex":[0.9987476,0.00003317028,0.0005028372,0.0001695836,0.0003273667,0.0002193678],"domain_scores_gemma":[0.9992927,0.00009998957,0.0002041155,0.00009302121,0.0001782799,0.0001318852],"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":[0.00009481474,0.00007906072,0.001397245,0.00007592288,0.001963994,0.000005285449,0.0006272588,0.9915119,0.00346746,0.00005764598,0.0000750473,0.000644332],"study_design_scores_gemma":[0.001769229,0.0004933122,0.006069751,0.00002144889,0.0007423647,0.00006224092,0.0001247941,0.9887828,0.00004927611,0.00002424921,0.001666938,0.0001936289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6995593,0.001809001,0.2972775,0.0004211331,0.0002689296,0.0004472257,0.0001346755,0.00005137001,0.00003083158],"genre_scores_gemma":[0.9910997,0.00005450812,0.00835849,0.00001488139,0.0002580837,0.00006755631,0.0000449132,0.00002708666,0.00007482462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2915403,"threshold_uncertainty_score":0.5989797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012600292941987,"score_gpt":0.2024008983545651,"score_spread":0.1922748954251453,"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."}}