{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/21851"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/21851","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Tuning complex computer codes to data and optimal designs","abstract":"\"Modern scientific researchers often use complex computer simulation codes for theoretical investigations. We model the response of computer simulation code as the realization of a stochastic process. This approach, design and analysis of computer experiments (DACE), provides a statistical basis for analysing computer data, for designing experiments for efficient prediction and for comparing computer-encoded theory to experiments. An objective of research in a large class of dynamic systems is to determine any unknown coefficients in a theory. The coefficients can be determined by \"\"tuning\"\" the computer model to the real data so that the tuned code gives a good match to the real experimental data.\"","abstract_html":""Modern scientific researchers often use complex computer simulation codes for theoretical investigations. We model the response of computer simulation code as the realization of a stochastic process. This approach, design and analysis of computer experiments (DACE), provides a statistical basis for analysing computer data, for designing experiments for efficient prediction and for comparing computer-encoded theory to experiments. An objective of research in a large class of dynamic systems is to determine any unknown coefficients in a theory. The coefficients can be determined by ""tuning"" the computer model to the real data so that the tuned code gives a good match to the real experimental data."","abstract_has_math":false,"creators":["Park, Jeong Soo"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Statistics","degree_department":null,"school":null,"contributors":["Cox, Dennis D."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-05-07T13:21:06Z","date_published":"2011-05-07T13:21:06Z","updated_at":"2026-07-22T22:25:18Z","subjects":["Statistics","Engineering, Nuclear","Physics, Nuclear","Computer Science"],"languages":["eng"],"rights":["Copyright 1991 Park, Jeong Soo"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["AAI9210946","(UMI)AAI9210946"],"render_values":[{"text":"AAI9210946","href":null,"code":true},{"text":"(UMI)AAI9210946","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/21851","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Cox, Dennis D."]},{"key":"dc:creator","label":"Author","values":["Park, Jeong Soo"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-05-07T13:21:06Z","10000-01-01","1991"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Statistics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Statistics","Engineering, Nuclear","Physics, Nuclear","Computer Science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 1991 Park, Jeong Soo"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["AAI9210946","(UMI)AAI9210946","http://hdl.handle.net/2142/21851"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["\"Modern scientific researchers often use complex computer simulation codes for theoretical investigations. We model the response of computer simulation code as the realization of a stochastic process. This approach, design and analysis of computer experiments (DACE), provides a statistical basis for analysing computer data, for designing experiments for efficient prediction and for comparing computer-encoded theory to experiments. An objective of research in a large class of dynamic systems is to determine any unknown coefficients in a theory. The coefficients can be determined by \"\"tuning\"\" the computer model to the real data so that the tuned code gives a good match to the real experimental data.\"","\"Three design strategies for computer experiments are considered: data-adaptive sequential A-optimal design, maximum entropy design and optimal Latin-hypercube design. The following \"\"code tuning\"\" methodologies are proposed: nonlinear least squares, joint MLE, \"\"separated\"\" joint MLE and Bayesian method. The performance of these methods have been studied in several toy models. In the application to nuclear fusion devices, a cheaper emulator of the simulation code (BALDUR) has been constructed, and the transport coefficients were estimated from data of two tokamaks (ASDEX and PDX).\"","Tuning complex computer codes to data using some statistical estimation methods and a cheap emulator of the code along with careful designs of computer experiments, with applications to nuclear fusion devices, is the topic of this thesis.","Made available in DSpace on 2011-05-07T13:21:06Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9210946.pdf: 6277370 bytes, checksum: e4818d70220890c425a06df78e26cd11 (MD5) Previous issue date: 1991","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:53:38Z Item is restricted indefinitely.","Restriction data tranferred 2014-07-01T11:24:49-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission","ETDs are only available to UIUC Users without author permission","U of I Only"]},{"key":"dc:title","label":"Title","values":["Tuning complex computer codes to data and optimal designs"]}]}],"canonical_facts":{"dc:contributor":["Cox, Dennis D."],"dc:creator":["Park, Jeong Soo"],"dc:date":["2011-05-07T13:21:06Z","10000-01-01","1991"],"dc:description":["\"Modern scientific researchers often use complex computer simulation codes for theoretical investigations. We model the response of computer simulation code as the realization of a stochastic process. This approach, design and analysis of computer experiments (DACE), provides a statistical basis for analysing computer data, for designing experiments for efficient prediction and for comparing computer-encoded theory to experiments. An objective of research in a large class of dynamic systems is to determine any unknown coefficients in a theory. The coefficients can be determined by \"\"tuning\"\" the computer model to the real data so that the tuned code gives a good match to the real experimental data.\"","\"Three design strategies for computer experiments are considered: data-adaptive sequential A-optimal design, maximum entropy design and optimal Latin-hypercube design. The following \"\"code tuning\"\" methodologies are proposed: nonlinear least squares, joint MLE, \"\"separated\"\" joint MLE and Bayesian method. The performance of these methods have been studied in several toy models. In the application to nuclear fusion devices, a cheaper emulator of the simulation code (BALDUR) has been constructed, and the transport coefficients were estimated from data of two tokamaks (ASDEX and PDX).\"","Tuning complex computer codes to data using some statistical estimation methods and a cheap emulator of the code along with careful designs of computer experiments, with applications to nuclear fusion devices, is the topic of this thesis.","Made available in DSpace on 2011-05-07T13:21:06Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9210946.pdf: 6277370 bytes, checksum: e4818d70220890c425a06df78e26cd11 (MD5) Previous issue date: 1991","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:53:38Z Item is restricted indefinitely.","Restriction data tranferred 2014-07-01T11:24:49-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission","ETDs are only available to UIUC Users without author permission","U of I Only"],"dc:identifier":["AAI9210946","(UMI)AAI9210946","http://hdl.handle.net/2142/21851"],"dc:language":["eng"],"dc:rights":["Copyright 1991 Park, Jeong Soo"],"dc:subject":["Statistics","Engineering, Nuclear","Physics, Nuclear","Computer Science"],"dc:title":["Tuning complex computer codes to data and optimal designs"],"dc:type":["text"],"thesis:degree_discipline":["Statistics"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:18Z"}