{"id":"W2002504778","doi":"10.1007/s11075-014-9884-2","title":"Optimized Schwarz methods for a diffusion problem with discontinuous coefficient","year":2014,"lang":"en","type":"article","venue":"Numerical Algorithms","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"John Abbott College","funders":"","keywords":"Mathematics; Theory of computation; Convergence (economics); Jump; Diffusion; Applied mathematics; Schwarz alternating method; Numerical analysis; Jump diffusion; Mathematical optimization; Mathematical analysis; Algorithm; Domain decomposition methods; Finite element method","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004660001,0.0002940047,0.0005281589,0.00007061674,0.000108526,0.00004646522,0.0002340494,0.000084128,0.00001961132],"category_scores_gemma":[0.0003700729,0.0002185159,0.0001091722,0.0003812955,0.00008244325,0.00008616277,0.00005734084,0.0002169276,0.00001335098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007442214,"about_ca_system_score_gemma":0.00001338788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001539436,"about_ca_topic_score_gemma":4.232809e-8,"domain_scores_codex":[0.9984378,0.0001366551,0.0004001307,0.0003485857,0.000249126,0.0004276981],"domain_scores_gemma":[0.9974424,0.001902845,0.00008896893,0.0002709781,0.0001141429,0.0001806957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003985656,0.0001046795,0.000002723037,0.00009408674,0.00003691274,8.481517e-7,0.00009205747,0.4073087,0.0004105206,0.002215413,0.00006177605,0.5896325],"study_design_scores_gemma":[0.0009810077,0.0002981828,0.0000195389,0.00004987749,0.00003413465,0.00001567506,0.00002419889,0.9635486,0.0009267357,0.02129845,0.01246176,0.0003418487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000180068,0.00009006477,0.9971387,0.0001363398,0.0002699932,0.0006611607,0.000008537148,0.0005894465,0.0009256295],"genre_scores_gemma":[0.003398521,0.000005946372,0.9958295,0.00008944447,0.0001539051,0.0003246023,0.00001252161,0.0001007882,0.00008479726],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5892906,"threshold_uncertainty_score":0.891082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631380251456081,"score_gpt":0.323244523130922,"score_spread":0.3069307206163612,"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."}}