{"id":"W4390018121","doi":"10.1137/1.9781611977806.ch30","title":"Chapter 30: The Fast Iterative Soft Thresholding Algorithm (FISTA)","year":2023,"lang":"en","type":"book-chapter","venue":"Society for Industrial and Applied Mathematics eBooks","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Thresholding; Norm (philosophy); Euclidean geometry; Algorithm; Euclidean distance; Computer science; Mathematics; Operator (biology); Combinatorics; Artificial intelligence; Image (mathematics); Geometry","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":[0.0004491737,0.001209164,0.0008125915,0.001043099,0.0005099934,0.00170621,0.0009179329,0.001354357,0.03332674],"category_scores_gemma":[0.001265538,0.0005017197,0.0007318907,0.001718189,0.0006577725,0.001470483,0.0008987538,0.002286667,0.03277039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005290559,"about_ca_system_score_gemma":0.001146691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001151445,"about_ca_topic_score_gemma":0.001867752,"domain_scores_codex":[0.9995665,0.0000426338,0.00002003935,0.00008646928,0.0002601947,0.00002415557],"domain_scores_gemma":[0.999724,0.0001099738,0.00001382533,0.00003786426,0.00009908877,0.00001530552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006236596,0.00005769086,0.00008291582,0.0008710839,0.00003803458,0.0001104274,0.000140907,0.01939676,0.01139554,0.102584,0.1979178,0.6673425],"study_design_scores_gemma":[0.00001675643,0.00005852976,0.0002558563,0.0003505214,0.00002882875,0.0007216266,0.00004574834,0.06989661,0.01179023,0.1132604,0.8035122,0.00006267027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0008287902,0.01623306,0.8875902,0.0008299988,0.002937245,0.0001188544,0.0007070842,0.002322671,0.08843207],"genre_scores_gemma":[0.01942579,0.0328196,0.7029127,0.001264951,0.00246792,0.000301226,0.002542124,0.002935328,0.2353303],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03332674,"threshold_uncertainty_score":0.1114891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06542053641037388,"score_gpt":0.2359139138054311,"score_spread":0.1704933773950572,"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."}}