{"id":"W2270621672","doi":"","title":"AN EFFICIENT QUARTER-SWEEP MODIFIED SOR ITERATIVE METHOD FOR SOLVING HELMHOLTZ EQUATION","year":2012,"lang":"en","type":"article","venue":"UMS Institutional Repository (Universiti Malaysia Sabah)","topic":"Numerical methods in engineering","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Helmholtz equation; Benchmark (surveying); Relaxation (psychology); Mathematics; Iterative method; Applied mathematics; Helmholtz free energy; Quarter (Canadian coin); Computer science; Mathematical optimization; Mathematical analysis; Physics; Thermodynamics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003750238,0.0004008653,0.0004943336,0.0002611353,0.0002764179,0.0003873511,0.000769858,0.000463956,0.002657219],"category_scores_gemma":[0.0006803886,0.0002131729,0.0005040988,0.0004121161,0.0002558498,0.0005725859,0.0005901874,0.0006358039,0.0009546794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001506868,"about_ca_system_score_gemma":0.0007000777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007518414,"about_ca_topic_score_gemma":0.001206736,"domain_scores_codex":[0.9997543,0.0000694952,0.00001015827,0.00002231276,0.0001249215,0.00001885475],"domain_scores_gemma":[0.9997784,0.00007607841,0.00001978875,0.00002568642,0.00008436482,0.00001562835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002849629,0.000155486,0.001117983,0.000681168,0.000103491,0.000386997,0.0002872288,0.4264694,0.1285941,0.04395907,0.01050946,0.3874505],"study_design_scores_gemma":[0.0000115015,0.00004597789,0.0001341711,0.00000945329,0.000006441637,0.0001678099,0.00002298792,0.9830052,0.007382322,0.00177556,0.007426277,0.00001234717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00616726,0.000262183,0.9893907,0.00008269569,0.00005500106,0.00003630979,0.00005227253,0.0003434525,0.003610215],"genre_scores_gemma":[0.08518863,0.0005227358,0.9074281,0.0000994486,0.00004365378,0.0001191921,0.000211819,0.0001450543,0.006241415],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002657219,"threshold_uncertainty_score":0.008889258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830445203425922,"score_gpt":0.2602404755091837,"score_spread":0.2419360234749245,"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."}}