{"id":"W2964079700","doi":"10.1007/s10107-019-01415-x","title":"Applying FISTA to optimization problems (with or) without minimizers","year":2019,"lang":"en","type":"article","venue":"Mathematical Programming","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Lipschitz continuity; Mathematics; Optimization problem; Mathematical optimization; Convex optimization; Regular polygon; Convex function; Applied mathematics; Pure mathematics; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001045068,0.0001786331,0.000259233,0.00007674447,0.00004030955,0.0001177607,0.000136088,0.00006364758,0.0001090629],"category_scores_gemma":[0.00002446093,0.0001283114,0.00003316132,0.0002298438,0.0000208082,0.00009192918,0.00003990264,0.0001171083,0.0001021298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000373744,"about_ca_system_score_gemma":0.00000850667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002531414,"about_ca_topic_score_gemma":0.000001797488,"domain_scores_codex":[0.9990706,0.00001125845,0.0002126384,0.0001981963,0.000201493,0.0003057838],"domain_scores_gemma":[0.9994944,0.00005685968,0.00002874552,0.0002822624,0.00004004978,0.0000976308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001260202,0.0001947019,0.0009867864,0.001267676,0.0001760717,0.00002973136,0.002371797,0.8764082,0.003692476,0.002389034,0.001026252,0.1113313],"study_design_scores_gemma":[0.000390674,0.0002293168,0.000004640488,0.0008471286,0.00003669189,0.00003871481,0.0003261754,0.9826768,0.003632992,0.0006241821,0.01072811,0.0004645638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02704003,0.00001844602,0.9625617,0.00004034783,0.00004757611,0.002011883,5.371465e-7,0.00151088,0.006768581],"genre_scores_gemma":[0.5124273,0.000001463672,0.4868824,0.0000459119,0.00002235113,0.0003318906,0.00000307488,0.00005571872,0.0002297965],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4853873,"threshold_uncertainty_score":0.5232385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672202299360147,"score_gpt":0.2330602821938171,"score_spread":0.2163382592002156,"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."}}