Journal article
International Journal for Uncertainty Quantification, vol. 13(4), 2023, pp. 23-59
APA
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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. https://doi.org/ 10.1615/Int.J.UncertaintyQuantification.2023043457
Chicago/Turabian
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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
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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, doi: 10.1615/Int.J.UncertaintyQuantification.2023043457.
BibTeX Click to copy
@article{dongjin2023a,
title = {High-dimensional stochastic design optimization under dependent random variables by a dimensionally decomposed generalized polynomial chaos expansion},
year = {2023},
issue = {4},
journal = {International Journal for Uncertainty Quantification},
pages = {23-59},
volume = {13},
doi = { 10.1615/Int.J.UncertaintyQuantification.2023043457},
author = {Lee, Dongjin and Rahman, Sharif}
}