References in zbMATH (referenced in 30 articles )

Showing results 1 to 20 of 30.
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  1. Castrillón-Candás, Julio E.; Kon, Mark: Analytic regularity and stochastic collocation of high-dimensional Newton iterates (2020)
  2. Chen, Chen; Liao, Qifeng: ANOVA Gaussian process modeling for high-dimensional stochastic computational models (2020)
  3. Litvinenko, Alexander; Logashenko, Dmitry; Tempone, Raul; Wittum, Gabriel; Keyes, David: Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability (2020)
  4. Dolgov, Sergey; Scheichl, Robert: A hybrid alternating least squares-TT-cross algorithm for parametric PDEs (2019)
  5. Khan, Arbaz; Powell, Catherine E.; Silvester, David J.: Robust preconditioning for stochastic Galerkin formulations of parameter-dependent nearly incompressible elasticity equations (2019)
  6. Chen, Luoping; Chen, Yanping; Liu, Xiong: A two-level sparse grid collocation method for semilinear stochastic elliptic equation (2018)
  7. Elman, Howard C.; Silvester, David J.: Collocation methods for exploring perturbations in linear stability analysis (2018)
  8. Martínez-Frutos, Jesús; Periago Esparza, Francisco: Optimal control of PDEs under uncertainty. An introduction with application to optimal shape design of structures (2018)
  9. Sai, Aditya; Kong, Nan: Characterising model dynamics using sparse grid interpolation: parameter estimation of cholera (2018)
  10. Wang, Xinsheng; Yu, Mingyan; Wang, Chenxu: Structure-preserving-based model-order reduction of parameterized interconnect systems (2018)
  11. Hou, Thomas Y.; Li, Qin; Zhang, Pengchuan: Exploring the locally low dimensional structure in solving random elliptic PDEs (2017)
  12. Castrillón-Candás, Julio E.; Nobile, Fabio; Tempone, Raúl F.: Analytic regularity and collocation approximation for elliptic PDEs with random domain deformations (2016)
  13. Lewis, Allison; Smith, Ralph; Williams, Brian: Gradient free active subspace construction using Morris screening elementary effects (2016)
  14. Liao, Qifeng; Lin, Guang: Reduced basis ANOVA methods for partial differential equations with high-dimensional random inputs (2016)
  15. Berrone, S.; Canuto, C.; Pieraccini, S.; Scialò, S.: Uncertainty quantification in discrete fracture network models: stochastic fracture transmissivity (2015)
  16. Elman, Howard C.; Forstall, Virginia: Preconditioning techniques for reduced basis methods for parameterized elliptic partial differential equations (2015)
  17. Nance, J.; Kelley, C. T.: A sparse interpolation algorithm for dynamical simulations in computational chemistry (2015)
  18. Rosić, Bojana V.; Matthies, Hermann G.: Variational theory and computations in stochastic plasticity (2015)
  19. Elman, Howard C.; Liao, Qifeng: Reduced basis collocation methods for partial differential equations with random coefficients (2013)
  20. Emery, A. F.; Johnson, K. C.: Practical considerations when using sparse grids with Bayesian inference for parameter estimation (2012)

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