{"id":"W4408125550","doi":"10.1016/j.cnsns.2025.108734","title":"Two accelerated double inertial algorithms for variational inequalities on Hadamard manifolds","year":2025,"lang":"en","type":"article","venue":"Communications in Nonlinear Science and Numerical Simulation","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Chongqing; National Natural Science Foundation of China; St. Thomas University","keywords":"Hadamard transform; Inertial frame of reference; Mathematics; Variational inequality; Algorithm; Inequality; Applied mathematics; Pure mathematics; Mathematical analysis; Physics; Classical mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001559581,0.001275228,0.001497267,0.001318207,0.0009574545,0.001717674,0.002282508,0.001642967,0.0101396],"category_scores_gemma":[0.005533028,0.0006545307,0.001208,0.0009391288,0.001352269,0.002757835,0.004533434,0.002794677,0.00113343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009099157,"about_ca_system_score_gemma":0.001316318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002079617,"about_ca_topic_score_gemma":0.003175807,"domain_scores_codex":[0.9992709,0.0001922509,0.00004689217,0.0000997219,0.0002801257,0.0001100981],"domain_scores_gemma":[0.9984257,0.0006645201,0.00009721528,0.0002789412,0.0003367492,0.0001968361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006847924,0.0002424362,0.0008476411,0.0002374917,0.0001061187,0.0001816836,0.0003471047,0.2284819,0.006048515,0.5485557,0.006796091,0.2074706],"study_design_scores_gemma":[0.00006469063,0.0000984884,0.0001229615,0.00001749824,0.00001178965,0.00003250994,0.00002950544,0.9342765,0.001174539,0.06074551,0.003406844,0.00001913331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01124749,0.0001986055,0.9824994,0.0002773719,0.000353958,0.00005704649,0.0000406449,0.000219974,0.005105618],"genre_scores_gemma":[0.2658568,0.0002859648,0.7183716,0.0002967396,0.0003370747,0.0003987493,0.0002443478,0.0004688536,0.01373982],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0101396,"threshold_uncertainty_score":0.03392029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09239345723974057,"score_gpt":0.3988448430460079,"score_spread":0.3064513858062674,"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."}}