{"id":"W4382934680","doi":"10.1016/j.orl.2023.06.004","title":"Continuous cutting plane algorithms in integer programming","year":2023,"lang":"en","type":"article","venue":"Operations Research Letters","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Subadditivity; Cutting-plane method; Integer programming; Mathematical optimization; Mathematics; Integer (computer science); Linear programming; Algorithm; Optimization problem; Theory of computation; Branch and cut; Computer science; Combinatorics","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":[0.004512551,0.001849689,0.002179723,0.002126574,0.0008763653,0.004341452,0.003399866,0.002438413,0.009194971],"category_scores_gemma":[0.01662584,0.001667989,0.00131718,0.006678598,0.002718506,0.006308943,0.00206401,0.009308201,0.002138322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928279,"about_ca_system_score_gemma":0.001612686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002835763,"about_ca_topic_score_gemma":0.001942483,"domain_scores_codex":[0.9972197,0.001230185,0.0001318643,0.0003796393,0.0008367208,0.000202016],"domain_scores_gemma":[0.9906222,0.007556796,0.0003101029,0.0006799056,0.0006323016,0.0001986325],"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":[0.0002671873,0.0002959985,0.0003862938,0.0006475013,0.00008964345,0.00006481515,0.0001709056,0.2720199,0.001493974,0.4943242,0.01263009,0.2176096],"study_design_scores_gemma":[0.00007902507,0.00006778377,0.0001309247,0.0001225221,0.00002512865,0.00004046546,0.00003460521,0.7236337,0.0006830033,0.2657217,0.009439293,0.00002185072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003034878,0.003827004,0.9846063,0.000464883,0.0002773222,0.00004181942,0.00007180308,0.0002139804,0.007462012],"genre_scores_gemma":[0.09940986,0.005172866,0.8848808,0.0003189005,0.0007042189,0.0003514554,0.0003718667,0.0004129609,0.008377084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009194971,"threshold_uncertainty_score":0.03076023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05034676274351741,"score_gpt":0.3328587710717831,"score_spread":0.2825120083282657,"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."}}