{"id":"W2612062628","doi":"10.1007/s00211-017-0897-3","title":"An analysis of Schwarz waveform relaxation domain decomposition methods for the imaginary-time linear Schrödinger and Gross-Pitaevskii equations","year":2017,"lang":"en","type":"article","venue":"Numerische Mathematik","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Carleton University; Statistics Canada","funders":"Agence Nationale de la Recherche","keywords":"Mathematics; Domain decomposition methods; Discretization; Partial differential equation; Mathematical analysis; Nonlinear system; Rate of convergence; Relaxation (psychology); Schwarz alternating method; Numerical analysis; Applied mathematics; Finite element method; Quantum mechanics","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":[0.001752455,0.001027651,0.0006372413,0.0009816412,0.0005829253,0.001194914,0.00132222,0.001147808,0.005098754],"category_scores_gemma":[0.004660959,0.0003962474,0.0009196497,0.0007234304,0.001573457,0.001879607,0.001537809,0.002138359,0.0008609068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007142645,"about_ca_system_score_gemma":0.001023322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001439856,"about_ca_topic_score_gemma":0.001511277,"domain_scores_codex":[0.999608,0.0002002071,0.00001515936,0.00002395926,0.0001196448,0.00003313073],"domain_scores_gemma":[0.9983866,0.0008606649,0.0001114048,0.0001270976,0.0003883474,0.0001258516],"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":[0.0001091917,0.00007145399,0.0003664336,0.0001992451,0.00004322223,0.0001112445,0.0001972658,0.1118639,0.006035147,0.8532699,0.002532277,0.02520065],"study_design_scores_gemma":[0.000010262,0.00002047064,0.0001261816,0.00002493199,0.000007140437,0.00003651344,0.00003008961,0.9303198,0.0007033265,0.06702567,0.001683253,0.00001233376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02839307,0.001255767,0.9506972,0.0007678005,0.0002463744,0.00006156799,0.00006563454,0.00008731494,0.01842527],"genre_scores_gemma":[0.4870042,0.00308308,0.4563957,0.0006672363,0.0004828595,0.0003607988,0.0003599208,0.0007589498,0.05088725],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005098754,"threshold_uncertainty_score":0.01705706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06871300535366258,"score_gpt":0.4651305856117182,"score_spread":0.3964175802580556,"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."}}