{"id":"W3028519024","doi":"","title":"A new hybrid conjugate gradient method with global convergence properties","year":2020,"lang":"en","type":"article","venue":"International Journal of Advanced Science and Technology","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Conjugate gradient method; Convergence (economics); Conjugate; Computer science; Derivation of the conjugate gradient method; Applied mathematics; Nonlinear conjugate gradient method; Conjugate residual method; Mathematics; Gradient descent; Algorithm; Artificial intelligence; Mathematical analysis; Artificial neural network","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":[0.0007064026,0.0007870072,0.00103059,0.0006351075,0.0004655682,0.0008214176,0.001227643,0.001666525,0.004171062],"category_scores_gemma":[0.001040431,0.0004276178,0.0006947632,0.0007551807,0.0006764083,0.001039962,0.00163856,0.0007735003,0.001595462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001974318,"about_ca_system_score_gemma":0.0006537368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006275824,"about_ca_topic_score_gemma":0.0008315207,"domain_scores_codex":[0.9996271,0.0001168551,0.00001954361,0.00005817902,0.0001587885,0.0000194653],"domain_scores_gemma":[0.9996075,0.0001438205,0.00003285602,0.00004353368,0.0001280023,0.00004433874],"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":[0.0005763152,0.00027916,0.001263064,0.0007060178,0.0003909387,0.0003941847,0.0001535398,0.4267398,0.06385183,0.09577329,0.010552,0.3993198],"study_design_scores_gemma":[0.00004093607,0.00008605075,0.000123259,0.000008708355,0.00002320482,0.0001256855,0.000005335402,0.987183,0.002305765,0.005285826,0.004786541,0.00002569776],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003374601,0.0001890843,0.9940858,0.000076073,0.0001813873,0.00003092256,0.00001896678,0.0001513991,0.001891726],"genre_scores_gemma":[0.1296491,0.0004201548,0.8533915,0.000280413,0.0002776757,0.0003165368,0.0001440436,0.0002536993,0.01526687],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004171062,"threshold_uncertainty_score":0.01395363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03623797289331353,"score_gpt":0.3598870607785358,"score_spread":0.3236490878852223,"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."}}