{"id":"W2163917076","doi":"10.1109/aps.2014.6904413","title":"Stability preserving model order reduction of FDTD with stability enforcement beyond the CFL limit","year":2014,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Finite-difference time-domain method; Model order reduction; Limit (mathematics); Stability (learning theory); Reduction (mathematics); Applied mathematics; Mathematics; Projection (relational algebra); Finite difference method; Subspace topology; Computer science; Mathematical analysis; Algorithm; Physics; Geometry; Optics","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":[0.0003094368,0.0003799075,0.0004064472,0.0002739739,0.0004697217,0.0006730773,0.0005635829,0.0005416408,0.001037038],"category_scores_gemma":[0.001241266,0.0002236636,0.0004555619,0.0002045122,0.0006286788,0.0007582693,0.0007722821,0.001035906,0.0003755718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004208385,"about_ca_system_score_gemma":0.0009269101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002172728,"about_ca_topic_score_gemma":0.001884941,"domain_scores_codex":[0.9997569,0.00004635072,0.00001339898,0.00002392385,0.0001393048,0.00002016876],"domain_scores_gemma":[0.9996038,0.0001318428,0.00005024904,0.0001094416,0.000088491,0.0000161288],"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":[0.0001474865,0.000204937,0.00170582,0.0002630328,0.00004120635,0.0002986355,0.0005860372,0.54555,0.1207697,0.1890871,0.002988113,0.1383579],"study_design_scores_gemma":[0.000008300099,0.00001554816,0.00006303273,0.000005445793,0.000003620098,0.00003853771,0.000009102071,0.9808467,0.01050937,0.006284066,0.002209634,0.000006630587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02746383,0.0001325525,0.9673565,0.0001598071,0.00005292371,0.00003703793,0.00003513229,0.0003838471,0.004378353],"genre_scores_gemma":[0.5315955,0.0002678148,0.4615648,0.0001250086,0.00005695984,0.0001615019,0.0001613324,0.0003362228,0.005730954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002172728,"threshold_uncertainty_score":0.004320145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212403257441135,"score_gpt":0.2413828280515231,"score_spread":0.2192587954771117,"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."}}