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This article has been cited by the following publications. This list is generated based on data provided by Crossref.
Zhang, Zhiwen Ci, Maolin and Hou, Thomas Y. 2015. A Multiscale Data-Driven Stochastic Method for Elliptic PDEs with Random Coefficients. Multiscale Modeling & Simulation, Vol. 13, Issue. 1, p. 173.
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Eck, Vinzenz Gregor Donders, Wouter Paulus Sturdy, Jacob Feinberg, Jonathan Delhaas, Tammo Hellevik, Leif Rune and Huberts, Wouter 2016. A guide to uncertainty quantification and sensitivity analysis for cardiovascular applications. International Journal for Numerical Methods in Biomedical Engineering, Vol. 32, Issue. 8,
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Tripathy, Rohit Bilionis, Ilias and Gonzalez, Marcial 2016. Gaussian processes with built-in dimensionality reduction: Applications to high-dimensional uncertainty propagation. Journal of Computational Physics, Vol. 321, Issue. , p. 191.
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Xu, Yijun and Mili, Lamine 2018. Probabilistic Power Flow Analysis based on the Adaptive Polynomial Chaos-ANOVA Method. p. 1.
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Li, Jingshi Wang, Xiaoshen and Zhang, Kai 2018. An efficient alternating direction method of multipliers for optimal control problems constrained by random Helmholtz equations. Numerical Algorithms, Vol. 78, Issue. 1, p. 161.
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Xu, Yijun Mili, Lamine and Zhao, Junbo 2019. A Novel Polynomial-Chaos-Based Kalman Filter. IEEE Signal Processing Letters, Vol. 26, Issue. 1, p. 9.
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Hou, Thomas Y. Ma, Dingjiong and Zhang, Zhiwen 2019. A Model Reduction Method for Multiscale Elliptic Pdes with Random Coefficients Using an Optimization Approach. Multiscale Modeling & Simulation, Vol. 17, Issue. 2, p. 826.
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Xu, Yijun Mili, Lamine and Zhao, Junbo 2019. Probabilistic Power Flow Calculation and Variance Analysis Based on Hierarchical Adaptive Polynomial Chaos-ANOVA Method. IEEE Transactions on Power Systems, Vol. 34, Issue. 5, p. 3316.
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Kämmerer, Lutz Potts, Daniel and Taubert, Fabian 2022. The uniform sparse FFT with application to PDEs with random coefficients. Sampling Theory, Signal Processing, and Data Analysis, Vol. 20, Issue. 2,
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Jung, Jeahan and Choi, Minseok 2023. Data-Driven Method to Quantify Correlated Uncertainties. IEEE Access, Vol. 11, Issue. , p. 50605.
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An Adaptive ANOVA-Based Data-Driven Stochastic Method for Elliptic PDEs with Random Coefficient
  • Volume 16, Issue 2
  • Zhiwen Zhang (a1), Xin Hu (a1), Thomas Y. Hou (a1), Guang Lin (a2) and Mike Yan (a1)
  • DOI: https://doi.org/10.4208/cicp.270913.020414a
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An Adaptive ANOVA-Based Data-Driven Stochastic Method for Elliptic PDEs with Random Coefficient
  • Volume 16, Issue 2
  • Zhiwen Zhang (a1), Xin Hu (a1), Thomas Y. Hou (a1), Guang Lin (a2) and Mike Yan (a1)
  • DOI: https://doi.org/10.4208/cicp.270913.020414a
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An Adaptive ANOVA-Based Data-Driven Stochastic Method for Elliptic PDEs with Random Coefficient
  • Volume 16, Issue 2
  • Zhiwen Zhang (a1), Xin Hu (a1), Thomas Y. Hou (a1), Guang Lin (a2) and Mike Yan (a1)
  • DOI: https://doi.org/10.4208/cicp.270913.020414a
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