{"id":"W2126897161","doi":"10.1007/s002110000134","title":"An additive Schwarz preconditioner for p -version boundary element approximation of the hypersingular operator in three dimensions","year":2000,"lang":"en","type":"article","venue":"Numerische Mathematik","topic":"Numerical methods in engineering","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Research Manitoba","funders":"","keywords":"Preconditioner; Mathematics; Additive Schwarz method; Condition number; Boundary element method; Mathematical analysis; Diagonal; Schwarz alternating method; Bounded function; Matrix (chemical analysis); Element (criminal law); Krylov subspace; Finite element method; Geometry; Domain decomposition methods; Eigenvalues and eigenvectors; Linear system","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":[0.0004574214,0.0005103698,0.0006567915,0.0003648567,0.0004047401,0.000718901,0.0008049806,0.0009087771,0.003471261],"category_scores_gemma":[0.0008366797,0.0002851993,0.0005098376,0.0004002232,0.0006422021,0.0006266052,0.001063838,0.0009948858,0.0009366099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002094639,"about_ca_system_score_gemma":0.0006498214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001780019,"about_ca_topic_score_gemma":0.002484079,"domain_scores_codex":[0.9997141,0.0000894257,0.00001489608,0.0000205426,0.0001350132,0.00002599467],"domain_scores_gemma":[0.9996917,0.0001136992,0.00002283824,0.00004965757,0.00008830732,0.00003371407],"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":[0.0009667891,0.0002094054,0.001183928,0.0004353234,0.0001185595,0.0005955391,0.0004868194,0.4571517,0.1211362,0.1198424,0.008755327,0.2891179],"study_design_scores_gemma":[0.00002999334,0.00007346031,0.0001671344,0.00001176298,0.0000107792,0.00006280393,0.00002913929,0.9812386,0.009578209,0.006165354,0.002621425,0.00001131599],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03751488,0.000128535,0.9554321,0.000211626,0.0001383611,0.00004122564,0.00006706206,0.0006459651,0.005820263],"genre_scores_gemma":[0.3810739,0.0002836696,0.607244,0.0001786756,0.00009745741,0.0001244951,0.0001845521,0.0003237465,0.01048968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003471261,"threshold_uncertainty_score":0.01161253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105324272863478,"score_gpt":0.2467673514646481,"score_spread":0.2362349241783003,"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."}}