{"id":"W4403305692","doi":"10.1017/9781009302180.036","title":"Key Concepts Summary: Greedy Algorithms and Dynamic Programming","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Key (lock); Computer science; Greedy algorithm; Dynamic programming; Algorithm; Theoretical computer science; Computer security","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":[0.0005424874,0.001538577,0.0008085527,0.001135567,0.0005273804,0.003039085,0.001199106,0.001296301,0.08683278],"category_scores_gemma":[0.003199278,0.000466159,0.000663685,0.002223813,0.0008740262,0.003814632,0.001085138,0.002963469,0.07290637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001188233,"about_ca_system_score_gemma":0.001204044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000955249,"about_ca_topic_score_gemma":0.001149987,"domain_scores_codex":[0.9994767,0.00006836226,0.00003213427,0.0001215606,0.0002647861,0.00003644346],"domain_scores_gemma":[0.999289,0.0003064065,0.00003330084,0.00006915749,0.0002513537,0.00005069997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002862696,0.0000463276,0.00007345511,0.0005700926,0.00001206409,0.00004825507,0.0001115675,0.003067576,0.000705232,0.1209495,0.6381503,0.2362369],"study_design_scores_gemma":[0.00001055753,0.00002664276,0.0002309173,0.0002869852,0.000008256069,0.0001983012,0.00004314763,0.003317184,0.0004845196,0.09528857,0.9000883,0.00001675267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001469816,0.03805082,0.408771,0.0132098,0.00983997,0.0003544998,0.002982944,0.004860123,0.520461],"genre_scores_gemma":[0.01790541,0.03469308,0.2375339,0.007419154,0.005507609,0.0008017509,0.005870864,0.004046252,0.6862218],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.08683278,"threshold_uncertainty_score":0.2904846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554634270339549,"score_gpt":0.2245591922269321,"score_spread":0.2090128495235366,"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."}}