University of Illinois Urbana-Champaign

Tuning complex computer codes to data and optimal designs

Park, Jeong Soo

This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.

Permalink

https://hdl.handle.net/2142/21851

Description

Title
Tuning complex computer codes to data and optimal designs
Author(s)
Park, Jeong Soo
Issue Date
1991
Doctoral Committee Chair(s)
Cox, Dennis D.
Department of Study
Statistics
Discipline
Statistics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
  • Statistics
  • Engineering, Nuclear
  • Physics, Nuclear
  • Computer Science
Language
eng
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."
  • "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.
Type of Resource
text
Permalink
http://hdl.handle.net/2142/21851
Copyright and License Information
Copyright 1991 Park, Jeong Soo

Owning Collections

Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at Illinois
Dissertations and Theses - Statistics