{"id":"W4403584193","doi":"10.1002/nla.2593","title":"Multigrid Reduction‐In‐Time Convergence for Advection Problems: A Fourier Analysis Perspective","year":2024,"lang":"en","type":"article","venue":"Numerical Linear Algebra with Applications","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multigrid method; Mathematics; Reduction (mathematics); Advection; Convergence (economics); Perspective (graphical); Fourier transform; Fourier analysis; Applied mathematics; Mathematical optimization; Partial differential equation; Mathematical analysis; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002281688,0.0007492454,0.000584794,0.001227847,0.0004541542,0.001325956,0.0009757315,0.0009929111,0.00308064],"category_scores_gemma":[0.005277297,0.0002894361,0.001050436,0.0005577735,0.002228552,0.001563336,0.001948592,0.002931909,0.0006672528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008176297,"about_ca_system_score_gemma":0.0007952387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002069283,"about_ca_topic_score_gemma":0.0008848277,"domain_scores_codex":[0.9992662,0.0003073494,0.00003148333,0.00006389419,0.0002827078,0.00004838323],"domain_scores_gemma":[0.997549,0.001462147,0.0001637552,0.0002484025,0.0004978095,0.00007895973],"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":[0.00004380072,0.00006052009,0.0006907727,0.0001809876,0.00004007572,0.0001373577,0.0002413259,0.2234101,0.008691326,0.7348468,0.00293695,0.02872006],"study_design_scores_gemma":[0.000006280068,0.00001453538,0.0001337498,0.00001875343,0.000003757532,0.00003737235,0.00002653566,0.8922259,0.001594652,0.1023921,0.003536813,0.000009522993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01147304,0.0008199626,0.9743202,0.001335073,0.0001566775,0.00003081301,0.0000337456,0.000116661,0.01171366],"genre_scores_gemma":[0.557551,0.002482857,0.4186666,0.0005934473,0.0005773376,0.000251187,0.0001960271,0.0006229342,0.01905864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00308064,"threshold_uncertainty_score":0.01206684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327935357970048,"score_gpt":0.3005640920308566,"score_spread":0.2872847384511561,"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."}}