{"id":"W2065860406","doi":"10.1016/j.cam.2006.12.001","title":"A communication-less parallel algorithm for tridiagonal Toeplitz systems","year":2007,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick; St. Francis Xavier University","funders":"","keywords":"Tridiagonal matrix; Toeplitz matrix; Circulant matrix; Mathematics; Linear system; Diagonal; Diagonally dominant matrix; Linear algebra; Tridiagonal matrix algorithm; Levinson recursion; System of linear equations; Parallel algorithm; Algorithm; Algebra over a field; Applied mathematics; Pure mathematics; Mathematical analysis; Geometry; Eigenvalues and eigenvectors","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":[],"consensus_categories":[],"category_scores_codex":[0.001698785,0.0001187918,0.0002846633,0.000116303,0.0001585828,0.0001470082,0.0004674136,0.00004916625,0.000001652925],"category_scores_gemma":[0.00002211674,0.00009592676,0.0000794083,0.0001386053,0.00005309909,0.0001789715,0.00007758335,0.0001281907,0.000002329958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002167992,"about_ca_system_score_gemma":0.00006953923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.737259e-7,"about_ca_topic_score_gemma":1.102396e-7,"domain_scores_codex":[0.9987201,0.00001719491,0.0006620948,0.0001054528,0.0003350179,0.000160105],"domain_scores_gemma":[0.997523,0.00139334,0.0005414719,0.0001509452,0.0002795512,0.0001117479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001313698,0.0001557088,8.881251e-7,0.00007192876,0.00004459206,0.000002746126,0.0005070288,0.01194025,0.00001747002,0.9330996,0.0002603302,0.05388629],"study_design_scores_gemma":[0.0009509123,0.00006593482,0.00004031647,0.00005400493,0.00001783484,0.0002647786,0.0004033369,0.4295861,0.00005710592,0.5669098,0.001523717,0.0001262098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002611468,0.0004093861,0.9958291,0.000205328,0.0001332309,0.0002133051,0.000007645062,0.00001968528,0.0005708393],"genre_scores_gemma":[0.040189,0.00002031936,0.9594454,0.00009067122,0.0001641834,0.000007991004,0.000004498363,0.000008065777,0.00006988627],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4176458,"threshold_uncertainty_score":0.391178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142944347788856,"score_gpt":0.2695375257224991,"score_spread":0.2481080822446105,"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."}}