Dongjin Lee, PhD


A researcher specializing in uncertainty quantification and computation methods for multidisciplinary applications

High-dimensional stochastic design optimization under dependent random variables by a dimensionally decomposed generalized polynomial chaos expansion


Journal article


Dongjin Lee, Sharif Rahman
International Journal for Uncertainty Quantification, vol. 13(4), 2023, pp. 23-59

DOI: 10.1615/Int.J.UncertaintyQuantification.2023043457

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APA
Lee, D., & Rahman, S. (2023). High-dimensional stochastic design optimization under dependent random variables by a dimensionally decomposed generalized polynomial chaos expansion. International Journal for Uncertainty Quantification, 13(4), 23–59.

Chicago/Turabian
Lee, Dongjin, and Sharif Rahman. “High-Dimensional Stochastic Design Optimization under Dependent Random Variables by a Dimensionally Decomposed Generalized Polynomial Chaos Expansion.” International Journal for Uncertainty Quantification 13, no. 4 (2023): 23–59.

MLA
Lee, Dongjin, and Sharif Rahman. “High-Dimensional Stochastic Design Optimization under Dependent Random Variables by a Dimensionally Decomposed Generalized Polynomial Chaos Expansion.” International Journal for Uncertainty Quantification, vol. 13, no. 4, 2023, pp. 23–59.


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