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   Click to copy
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   Click to copy
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   Click to copy
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}
}


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