{"id":"W3207330938","doi":"10.1007/978-1-0716-0843-2_16","title":"Applications of Constrained Optimization","year":2021,"lang":"en","type":"book-chapter","venue":"Texts in computer science","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Hessian matrix; Differentiable function; Mathematical optimization; Constrained optimization; Multivariable calculus; Optimization problem; Variety (cybernetics); Nonlinear system; Nonlinear programming; Function (biology); Measure (data warehouse); Computer science; Quadratic equation; Mathematics; Applied mathematics; Engineering; Control engineering; Artificial intelligence","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":[0.0005948925,0.001723676,0.001421044,0.00154863,0.0006273366,0.002183632,0.00114903,0.001244729,0.02857227],"category_scores_gemma":[0.00234216,0.0007079178,0.001058563,0.002292418,0.001600699,0.001772582,0.002284303,0.00224657,0.006892546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009643978,"about_ca_system_score_gemma":0.0007093668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888936,"about_ca_topic_score_gemma":0.002432425,"domain_scores_codex":[0.9994305,0.0001530954,0.00002437809,0.0001028055,0.0002594494,0.00002970838],"domain_scores_gemma":[0.9994448,0.0003244077,0.00002664147,0.0000980222,0.00007687492,0.00002918975],"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":[0.00002372607,0.00004047751,0.0001480569,0.0003358475,0.00005542639,0.00006853029,0.00007362949,0.02566735,0.001149166,0.7357841,0.05410978,0.1825441],"study_design_scores_gemma":[0.000008921682,0.0000174004,0.0003143533,0.0001964169,0.00001978201,0.0001459793,0.00003613367,0.07697621,0.0007747991,0.7147997,0.2066843,0.00002600016],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001950242,0.03496567,0.5266567,0.001894845,0.00148696,0.00005206619,0.0003206758,0.0006877614,0.431985],"genre_scores_gemma":[0.1440413,0.05870435,0.4374047,0.001840477,0.003253429,0.0004248774,0.001134392,0.001616102,0.3515803],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02857227,"threshold_uncertainty_score":0.09558374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009477241460703265,"score_gpt":0.2110399157713892,"score_spread":0.201562674310686,"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."}}