{"id":"W1983942331","doi":"10.1016/j.laa.2008.01.012","title":"A Lanczos bidiagonalization algorithm for Hankel matrices","year":2008,"lang":"en","type":"article","venue":"Linear Algebra and its Applications","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Hankel matrix; Lanczos resampling; Mathematics; Lanczos algorithm; Orthogonalization; FLOPS; Matrix (chemical analysis); Algorithm; Multiplication (music); Matrix multiplication; Hankel transform; Applied mathematics; Combinatorics; Mathematical analysis; Computer science; Eigenvalues and eigenvectors; Parallel computing; Fourier transform","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":[0.0005972033,0.0008259332,0.0008408229,0.0009693833,0.0009023928,0.00145957,0.001263784,0.0006920419,0.01265271],"category_scores_gemma":[0.002442333,0.000522975,0.000502292,0.001487137,0.0005464855,0.001329268,0.00166879,0.001455492,0.006682496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005391879,"about_ca_system_score_gemma":0.001702755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003611434,"about_ca_topic_score_gemma":0.00734697,"domain_scores_codex":[0.9993537,0.0001129235,0.00004130475,0.0001097571,0.000307214,0.00007504789],"domain_scores_gemma":[0.999204,0.0001630494,0.00003737253,0.0002195197,0.0003102258,0.00006593107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005246607,0.0001495403,0.0004809078,0.0001981004,0.00006290644,0.0001029099,0.000199037,0.01728114,0.0325872,0.04496684,0.01937589,0.8840709],"study_design_scores_gemma":[0.0005258333,0.0003777875,0.0009215298,0.0000672493,0.00006876119,0.0004817593,0.0002424252,0.7826116,0.05518429,0.0928783,0.06648925,0.0001512583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006927056,0.0002115498,0.9863344,0.0001463402,0.000136642,0.00009786539,0.0001424404,0.00283679,0.003166829],"genre_scores_gemma":[0.04322198,0.0001707288,0.9465931,0.0001511849,0.0000650541,0.0001347686,0.0004849554,0.0004982144,0.008679904],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01265271,"threshold_uncertainty_score":0.04232758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735888454936861,"score_gpt":0.2560611687746196,"score_spread":0.238702284225251,"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."}}