An engineering design methodology with multistage Bayesian surrogates and optimal sampling-Reference-Cited by-同舟云学术

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An engineering design methodology with multistage Bayesian surrogates and optimal sampling

Published:1996-12 Issue:4 Volume:8 Page:189-206
ISSN:0934-9839
Container-title:Research in Engineering Design
language:en
Short-container-title:Research in Engineering Design

Author:

Osio Ignacio G.,Amon Cristina H.

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Architecture,Civil and Structural Engineering

Link

http://link.springer.com/content/pdf/10.1007/BF01597226.pdf

Reference44 articles.

1. Nigen, J.S.; Amon, C.H. (1992) Concurrent thermal design: balancing accuracy with time constraints, IEEE Trans. on Computers, Hybrids and Manufacturing Technology, 15, 850–859

2. Kleijnen, J.P.C. (1992) Sensitivity analysis of simulation experiments: regression analysis and statistical design, Mathematics and Computers in Simulation, 34, 297–315

3. Bernardo, M.; Sacks, J.; Welch, W.; Liu, L.; Nazaret, W. (1992) Integrated circuit design optimization using a sequential strategy, IEEE Transactions CAD, 11, 361–372

4. Welch, W.; Buck, R.J.; Sacks, J.; Wynn, H.P.; Mitchell, T.J.; Morris, M.D. (1992) Screening, predicting and computer experiments, Technometrics, 34, 15–25

5. Director, S.W.; Feldmann, P.; Krishna, K. (1993) Statistical integrated circuit design, IEEE Journal of Solid-State Circuits, 28, 193–202

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