{"id":"W4403210819","doi":"10.1109/iceaa61917.2024.10701730","title":"Parallel Fast Iterative H-Matrix Locally Corrected Nyström Discretization of Integral Equations with an Inaccurate H-matrix Preconditioner","year":2024,"lang":"en","type":"article","venue":"","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Preconditioner; Discretization; Matrix (chemical analysis); Iterative method; Integral equation; Mathematics; Applied mathematics; Mathematical analysis; Mathematical optimization; Materials science","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":[0.000370188,0.000458504,0.0007846073,0.0002236941,0.0003921393,0.0005534535,0.000915203,0.0006494717,0.00377776],"category_scores_gemma":[0.0009120613,0.0002351905,0.0005271698,0.0003366123,0.0004721174,0.0008264769,0.0008099245,0.0009315073,0.0007577654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004845985,"about_ca_system_score_gemma":0.001193217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006412787,"about_ca_topic_score_gemma":0.00821698,"domain_scores_codex":[0.9997848,0.00005226787,0.000009248502,0.00002460112,0.0001014154,0.00002761698],"domain_scores_gemma":[0.999666,0.0001418859,0.0000322419,0.00005811247,0.00008030625,0.00002137074],"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":[0.0001749259,0.00009056985,0.001190212,0.0002535235,0.00005795022,0.000355715,0.0003395524,0.8264321,0.02625488,0.05325314,0.004982148,0.08661521],"study_design_scores_gemma":[0.00001311879,0.00001651822,0.0000669225,0.000006061141,0.000002084356,0.00002566332,0.00001838688,0.9933696,0.002074545,0.002167035,0.002234799,0.000005343009],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01617456,0.000149056,0.9753433,0.000139045,0.00008037642,0.0000517363,0.00009327884,0.0007906185,0.007178053],"genre_scores_gemma":[0.2079822,0.0001805876,0.7792641,0.0001349664,0.00006007941,0.0002545205,0.0003142484,0.0003142934,0.01149508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006412787,"threshold_uncertainty_score":0.01275092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113889023216414,"score_gpt":0.276422236580092,"score_spread":0.2652833463479278,"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."}}