Følg
Peng Chen
Tittel
Sitert av
Sitert av
År
A weighted reduced basis method for elliptic partial differential equations with random input data
P Chen, A Quarteroni, G Rozza
SIAM Journal on Numerical Analysis 51 (6), 3163-3185, 2013
1092013
Simulation‐based uncertainty quantification of human arterial network hemodynamics
P Chen, A Quarteroni, G Rozza
International journal for numerical methods in biomedical engineering 29 (6 …, 2013
1082013
Reduced basis methods for uncertainty quantification
P Chen, A Quarteroni, G Rozza
SIAM/ASA Journal on Uncertainty Quantification 5 (1), 813-869, 2017
104*2017
Comparison between reduced basis and stochastic collocation methods for elliptic problems
P Chen, A Quarteroni, G Rozza
Journal of Scientific Computing 59, 187-216, 2014
103*2014
Weighted reduced basis method for stochastic optimal control problems with elliptic PDE constraints
P Chen, A Quarteroni
SIAM/ASA J. Uncertainty Quantification 2 (1), 364–396, 2014
852014
Projected Stein Variational Gradient Descent
P Chen, O Ghattas
Advances in Neural Information Processing Systems, 2020
772020
Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs
T O’Leary-Roseberry, U Villa, P Chen, O Ghattas
Computer Methods in Applied Mechanics and Engineering 388, 114199, 2022
752022
Multilevel and weighted reduced basis method for stochastic optimal control problems constrained by Stokes equations
P Chen, A Quarteroni, G Rozza
Numerische Mathematik 133 (1), 67-102, 2015
732015
Projected Stein variational Newton: A fast and scalable Bayesian inference method in high dimensions
P Chen, K Wu, J Chen, T O'Leary-Roseberry, O Ghattas
Advances in Neural Information Processing Systems, 2019
712019
Stochastic optimal Robin boundary control problems of advection-dominated elliptic equations
P Chen, A Quarteroni, G Rozza
SIAM Journal on Numerical Analysis 51 (5), 2700-2722, 2013
702013
Optimal design of acoustic metamaterial cloaks under uncertainty
P Chen, MR Haberman, O Ghattas
Journal of Computational Physics 431, 110114, 2021
622021
Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty
P Chen, U Villa, O Ghattas
Journal of Computational Physics 385, 163-186, 2019
602019
A new algorithm for high-dimensional uncertainty quantification based on dimension-adaptive sparse grid approximation and reduced basis methods
P Chen, A Quarteroni
Journal of Computational Physics 298, 176-193, 2015
602015
Hessian-based adaptive sparse quadrature for infinite-dimensional Bayesian inverse problems
P Chen, U Villa, O Ghattas
Computer Methods in Applied Mechanics and Engineering 327, 147–172, 2017
522017
A fast and scalable computational framework for large-scale high-dimensional Bayesian optimal experimental design
K Wu, P Chen, O Ghattas
SIAM/ASA Journal on Uncertainty Quantification 11 (1), 235-261, 2023
512023
Sparse-grid, reduced-basis Bayesian inversion: Nonaffine-parametric nonlinear equations
P Chen, C Schwab
Journal of Computational Physics 316, 470–503, 2016
512016
Sparse-grid, reduced-basis Bayesian inversion
P Chen, C Schwab
Computer Methods in Applied Mechanics and Engineering 297, 84-115, 2015
512015
Accurate and efficient evaluation of failure probability for partial different equations with random input data
P Chen, A Quarteroni
Computer Methods in Applied Mechanics and Engineering 267, 233-260, 2013
512013
A weighted empirical interpolation method: a prioriconvergence analysis and applications
P Chen, A Quarteroni, G Rozza
ESAIM: Mathematical Modelling and Numerical Analysis 48 (4), 943-953, 2014
462014
Derivative-informed neural operator: an efficient framework for high-dimensional parametric derivative learning
T O'Leary-Roseberry, P Chen, U Villa, O Ghattas
Journal of Computational Physics 496, 112555, 2024
452024
Systemet kan ikke utføre handlingen. Prøv på nytt senere.
Artikler 1–20