A Stochastic Discrete Empirical Interpolation Approach for Parameterized Systems

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Abstract
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Cai, Daheng, et al. “A Stochastic Discrete Empirical Interpolation Approach for Parameterized Systems”. Symmetry, vol. 14, no. 3, 2022, p. 556, https://doi.org/10.3390/sym14030556.
Cai, D., Yao, C., & Liao, Q. (2022). A Stochastic Discrete Empirical Interpolation Approach for Parameterized Systems. Symmetry, 14(3), 556. https://doi.org/10.3390/sym14030556
Cai D, Yao C, Liao Q. A Stochastic Discrete Empirical Interpolation Approach for Parameterized Systems. Symmetry. 2022;14(3):556.
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Refrences
Title Journal Journal Categories Citations Publication Date
A generalized empirical interpolation method: Application of reduced basis techniques to data assimilation 2013
Certified real-time solution of parametrized partial differential equations 2005
Probability inequalities for sums of bounded random variables 1994
An Introduction to Computational Stochastic PDEs 2014
The FitzHugh–Nagumo Model: Bifurcation and Dynamics 2012
Citations
Title Journal Journal Categories Citations Publication Date
A probabilistic reduced basis method for parameter-dependent problems Advances in Computational Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
 2024
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Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods1
Science: Mathematics1
The category Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods 1 is the most commonly referenced area in studies that cite this article.