Results 261 to 269 of about 252,868 (269)

Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification

Reliability Engineering and System Safety
Jungho Kim, Ziqi Wang
exaly  

A two-stage approach of multiplicative dimensional reduction and polynomial chaos for global sensitivity analysis and uncertainty quantification with a large number of process uncertainties

Journal of the Taiwan Institute of Chemical Engineers, 2017
Le Quang Minh, Jorge Goncalves, Moonyong Lee   +2 more
exaly  

Efficient forward and inverse uncertainty quantification for dynamical systems based on dimension reduction and Kriging surrogate modeling in functional space

Mechanical Systems and Signal Processing
Weiyun Xu, Marcos Valdebenito
exaly  

Uncertainty quantification and reduction with data assimilation

2019
openaire   +1 more source

Uncertainty quantification for seismic response using dimensionality reduction‐based stochastic simulator

Earthquake Engineering and Structural Dynamics
Jungho Kim, Ziqi Wang
exaly  

Model order reduction approach to uncertainty quantification in eddy current problems

2017
Lorenzo Codecasa, Luca Di Rienzo
exaly  

A dimension reduction metamodeling approach for hybrid uncertainties quantification and response prediction

Nonlinear Dynamics
Jingwei Meng, Yanfei Jin
openaire   +1 more source

Uncertainty quantification for the drag reduction of microbubble-laden fluid flow in a horizontal channel

International Journal of Multiphase Flow
Jaiyoung Ryu, Minjae Kim
exaly  

Optimally-Transported Meshes for Model Reduction and Uncertainty Quantification of High-Speed Flow

SIAM Conference on Uncertainty Quantification - Trieste, , Italy - February - 2024
Robert Van Heyningen, Ngoc Cuong Nguyen, Patrick Blonigan, Jaime Peraire   +3 more
openaire   +1 more source