{"id":"W2549989273","doi":"10.4153/cmb-2016-077-5","title":"The Shifted Classical Circulant and Skew Circulant Splitting Iterative Methods for Toeplitz Matrices","year":2016,"lang":"en","type":"article","venue":"Canadian Mathematical Bulletin","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; China Scholarship Council; National Natural Science Foundation of China","keywords":"Toeplitz matrix; Circulant matrix; Mathematics; Iterative method; Hermitian matrix; Applied mathematics; Skew; Matrix (chemical analysis); Discrete mathematics; Algorithm; Pure mathematics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001944383,0.0002012238,0.0002794836,0.00008066776,0.0005148966,0.0003898127,0.0006818235,0.00009736519,0.0002537045],"category_scores_gemma":[0.00120485,0.0001085705,0.0001036344,0.0001558315,0.0001971981,0.00008178219,0.0001187171,0.0001203162,0.000357538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000955792,"about_ca_system_score_gemma":0.0001522417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004391375,"about_ca_topic_score_gemma":0.00003751902,"domain_scores_codex":[0.9981272,0.0002878296,0.0003699028,0.0004446909,0.0001477053,0.0006227327],"domain_scores_gemma":[0.9945521,0.004224159,0.00009536368,0.000497837,0.00008136049,0.0005491283],"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":[0.000004153409,0.00001046065,0.000003885677,0.00004613936,0.00002302126,0.00001378297,0.0002558213,8.493175e-8,0.0002086635,0.8817793,0.001489183,0.1161655],"study_design_scores_gemma":[0.0004252366,0.00006923377,0.00008837815,0.0001766389,0.00002242103,0.0001154079,0.00006732593,0.01210608,0.000513966,0.7149993,0.2710792,0.0003368529],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002097638,0.0004027378,0.959718,0.03513832,0.0001406111,0.0004779877,0.00002097094,0.00007437864,0.001929363],"genre_scores_gemma":[0.1431445,0.00006584384,0.8472404,0.002664715,0.0005207136,0.0004149279,0.000004443377,0.00007007204,0.005874399],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.26959,"threshold_uncertainty_score":0.4595547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670225826648329,"score_gpt":0.2834244584050216,"score_spread":0.2667222001385383,"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."}}