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A Kriging and stochastic collocation ensemble for uncertainty quantification in engineering applications

Arun Kaintura (UGent) , Domenico Spina (UGent) , Ivo Couckuyt (UGent) , Luc Knockaert (UGent) , Wim Bogaerts (UGent) and Tom Dhaene (UGent)
(2017) ENGINEERING WITH COMPUTERS . 33(4). p.935-949
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Scalable behavioral models for large-scale silicon photonics
Keywords
IBCN, GENERALIZED POLYNOMIAL CHAOS, MODEL ORDER REDUCTION, DIFFERENTIAL-EQUATIONS, PROBABILITY-MEASURES, VARIABILITY ANALYSIS, GLOBAL OPTIMIZATION, SPARSE GRIDS, DESIGN, EXPANSIONS, REGRESSION

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Citation

Please use this url to cite or link to this publication:

Chicago
Kaintura, Arun, Domenico Spina, Ivo Couckuyt, Luc Knockaert, Wim Bogaerts, and Tom Dhaene. 2017. “A Kriging and Stochastic Collocation Ensemble for Uncertainty Quantification in Engineering Applications.” Engineering with Computers  33 (4): 935–949.
APA
Kaintura, A., Spina, D., Couckuyt, I., Knockaert, L., Bogaerts, W., & Dhaene, T. (2017). A Kriging and stochastic collocation ensemble for uncertainty quantification in engineering applications. ENGINEERING WITH COMPUTERS  , 33(4), 935–949.
Vancouver
1.
Kaintura A, Spina D, Couckuyt I, Knockaert L, Bogaerts W, Dhaene T. A Kriging and stochastic collocation ensemble for uncertainty quantification in engineering applications. ENGINEERING WITH COMPUTERS  . Springer Nature; 2017;33(4):935–49.
MLA
Kaintura, Arun, Domenico Spina, Ivo Couckuyt, et al. “A Kriging and Stochastic Collocation Ensemble for Uncertainty Quantification in Engineering Applications.” ENGINEERING WITH COMPUTERS  33.4 (2017): 935–949. Print.
@article{8527621,
  author       = {Kaintura, Arun and Spina, Domenico and Couckuyt, Ivo and Knockaert, Luc and Bogaerts, Wim and Dhaene, Tom},
  issn         = {0177-0667},
  journal      = {ENGINEERING WITH COMPUTERS                                            },
  keyword      = {IBCN,GENERALIZED POLYNOMIAL CHAOS,MODEL ORDER REDUCTION,DIFFERENTIAL-EQUATIONS,PROBABILITY-MEASURES,VARIABILITY ANALYSIS,GLOBAL OPTIMIZATION,SPARSE GRIDS,DESIGN,EXPANSIONS,REGRESSION},
  language     = {eng},
  number       = {4},
  pages        = {935--949},
  publisher    = {Springer Nature},
  title        = {A Kriging and stochastic collocation ensemble for uncertainty quantification in engineering applications},
  url          = {http://dx.doi.org/10.1007/s00366-017-0507-0},
  volume       = {33},
  year         = {2017},
}

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