{"id":"W3094161168","doi":"10.1007/978-3-030-56750-7_17","title":"Fully Discrete Schwarz Waveform Relaxation on Two Bounded Overlapping Subdomains","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in computational science and engineering","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Schwarz alternating method; Waveform; Bounded function; Relaxation (psychology); Additive Schwarz method; Partial differential equation; Domain decomposition methods; Mathematics; Window (computing); Discrete time and continuous time; Parallelism (grammar); Algorithm; Mathematical analysis; Computer science; Applied mathematics; Parallel computing; Physics; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003119894,0.0004048122,0.0003799516,0.0004031152,0.0001383115,0.0001177168,0.0002478747,0.0001444104,0.00001107863],"category_scores_gemma":[0.0007485437,0.0004093123,0.00005995896,0.0003828607,0.0001677219,0.0002511482,0.00008904222,0.0007140554,0.00001667271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005515213,"about_ca_system_score_gemma":0.00009311142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001229702,"about_ca_topic_score_gemma":0.000001752506,"domain_scores_codex":[0.9979337,0.000006847566,0.0004283583,0.000473254,0.0008295957,0.0003282031],"domain_scores_gemma":[0.9983519,0.001128149,0.00009721832,0.0001529254,0.000116742,0.0001530566],"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":[0.000004822593,0.000002633561,0.000002582552,0.0001046095,0.00001391289,0.000009908918,0.0001203441,0.8665492,0.000263466,0.1196203,0.00000334932,0.01330488],"study_design_scores_gemma":[0.0001531035,0.00003723369,0.0001046157,0.0002653548,0.000007667822,0.00001461356,0.000001305363,0.6731611,0.00008432473,0.3252175,0.0006227369,0.0003304149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007726599,0.0001995809,0.989042,0.0003629992,0.0004318017,0.0002604987,0.00001513929,0.0002860651,0.008629232],"genre_scores_gemma":[0.5415944,0.00003520887,0.4575014,0.0003290897,0.0003328605,0.00001620878,0.00003542879,0.0001095924,0.0000458592],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5408217,"threshold_uncertainty_score":0.9998358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01740629637152355,"score_gpt":0.2648287025757347,"score_spread":0.2474224062042111,"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."}}