References in zbMATH (referenced in 55 articles )

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  1. Jiang, Nan; Qiu, Changxin: Numerical analysis of a second order ensemble algorithm for numerical approximation of stochastic Stokes-Darcy equations (2022)
  2. Yang, Zhipeng; Li, Xuejian; He, Xiaoming; Ming, Ju: A stochastic collocation method based on sparse grids for a stochastic Stokes-Darcy model (2022)
  3. Horowitz, Joel L.; Nesheim, Lars: Using penalized likelihood to select parameters in a random coefficients multinomial logit model (2021)
  4. Keshavarzzadeh, Vahid; Kirby, Robert M.; Narayan, Akil: Multilevel designed quadrature for partial differential equations with random inputs (2021)
  5. Pejman, Reza; Keshavarzzadeh, Vahid; Najafi, Ahmad R.: Hybrid topology/shape optimization under uncertainty for actively-cooled nature-inspired microvascular composites (2021)
  6. Vaisman, Radislav: Sequential stratified splitting for efficient Monte Carlo integration (2021)
  7. Wang, Haiying; Zhang, Dixin; Liang, Hua; Ruppert, David: Iterative likelihood: a unified inference tool (2021)
  8. Béreš, Michal: A comparison of approaches for the construction of reduced basis for stochastic Galerkin matrix equations. (2020)
  9. Keshavarzzadeh, Vahid; Kirby, Robert M.; Narayan, Akil: Generation of nested quadrature rules for generic weight functions via numerical optimization: application to sparse grids (2020)
  10. Keshavarzzadeh, Vahid; Kirby, Robert M.; Narayan, Akil: Stress-based topology optimization under uncertainty via simulation-based Gaussian process (2020)
  11. Orive, Ramón; Santos-León, Juan C.; Spalević, Miodrag M.: Cubature formulae for the Gaussian weight. Some old and new rules. (2020)
  12. Wang, Zhong; Li, Yan: Guaranteed cost spacecraft attitude stabilization under actuator misalignments using linear partial differential equations (2020)
  13. Ballreich, Dominik: Stable and efficient cubature rules by metaheuristic optimization with application to Kalman filtering (2019)
  14. Crespo, Luis G.; Colbert, Brendon K.; Kenny, Sean P.; Giesy, Daniel P.: On the quantification of aleatory and epistemic uncertainty using sliced-normal distributions (2019)
  15. Keshavarzzadeh, Vahid; Ghanem, Roger G.; Tortorelli, Daniel A.: Shape optimization under uncertainty for rotor blades of horizontal axis wind turbines (2019)
  16. Keshavarzzadeh, Vahid; Kirby, Robert M.; Narayan, Akil: Convergence acceleration for time-dependent parametric multifidelity models (2019)
  17. Shahane, Shantanu; Aluru, Narayana; Ferreira, Placid; Kapoor, Shiv G.; Vanka, Surya Pratap: Finite volume simulation framework for die casting with uncertainty quantification (2019)
  18. Sun, Yutec; Ishihara, Masakazu: A computationally efficient fixed point approach to dynamic structural demand estimation (2019)
  19. Xie, Junfei; Wan, Yan; Mills, Kevin; Filliben, James J.; Lei, Yu; Lin, Zongli: M-PCM-OFFD: an effective output statistics estimation method for systems of high dimensional uncertainties subject to low-order parameter interactions (2019)
  20. Bayer, Christian; Siebenmorgen, Markus; Tempone, Raul: Smoothing the payoff for efficient computation of basket option prices (2018)

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