{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001058819,0.0001037746,0.000144718,0.00047743,0.0005810412,0.0003113828,0.001030759,0.00004613118,0.000008085088],"category_scores_gemma":[0.0004301403,0.00009755211,0.00003439761,0.002617201,0.000145842,0.0007434854,0.0003627865,0.0001100514,0.000004802605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001334401,"about_ca_system_score_gemma":0.0003060741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000111073,"about_ca_topic_score_gemma":0.00001756571,"domain_scores_codex":[0.9987026,0.00008506596,0.0003634299,0.0003365296,0.0003355154,0.0001768339],"domain_scores_gemma":[0.9978318,0.0007375705,0.00009802397,0.0006416013,0.0006373983,0.00005357534],"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":[0.00003565137,0.0002288791,0.001074131,0.000004975281,0.00001112549,9.77532e-8,0.0002312214,0.3515886,0.0001222742,0.6262667,0.00002953764,0.02040681],"study_design_scores_gemma":[0.0008708818,0.00003223676,0.004818935,0.00001278651,0.000006447727,1.937973e-7,0.00002470886,0.9867247,0.0000989203,0.00436622,0.00293807,0.0001058783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002051647,0.00004241071,0.9878024,0.00785763,0.0001227661,0.0002908092,0.000008265672,0.00006448743,0.001759532],"genre_scores_gemma":[0.774343,0.00001972847,0.2244117,0.0009474866,0.00002933978,0.00005316177,0.00005466879,0.000003274003,0.0001375746],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7722914,"threshold_uncertainty_score":0.4468957,"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."}}