Bayesian inverse problems in measure spaces with application to Burgers and Hamilton–Jacobi equations with white noise forcing by Hoang, Viet Ha.

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Sparse tensor Galerkin discretization of parametric and random parabolic PDEs - analytic regularity and generalized polynomial chaos approximation by Hoang, Viet Ha., Schwab, Christoph.

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Best N-term GPC approximations for a class of stochastic linear elasticity equations by Xia, Bingxing., Hoang, Viet Ha.

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N-term Wiener chaos approximation rates for elliptic PDEs with lognormal Gaussian random inputs by Hoang, Viet Ha., Schwab, Christoph.

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High dimensional finite elements for multiscale wave equations by Xia, Bingxing, Hoang, Viet Ha

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Multilevel Markov chain Monte Carlo for Bayesian inverse problem for Navier-Stokes equation by Yang, Juntao, Hoang, Viet Ha

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Regularity and generalized polynomial chaos approximation of parametric and random second-order hyperbolic partial differential equations by Hoang, Viet Ha., Schwab, Christoph.

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High dimensional finite element method for multiscale nonlinear monotone parabolic equations by Tan, Wee Chin, Hoang, Viet Ha

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Bayesian inverse problems for recovering coefficients of two scale elliptic equations by Hoang, Viet Ha, Quek, Jia Hao

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High dimensional finite elements for two-scale Maxwell wave equations by Chu, Van Tiep, Hoang, Viet Ha

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Bayesian inversion of log-normal eikonal equations by Yeo, Zhan Fei, Hoang, Viet Ha

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A hierarchical finite element Monte Carlo method for stochastic two-scale elliptic equations by Hoang, Viet Ha, Brown, Donald L.

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High-dimensional finite elements for multiscale Maxwell-type equations by Chu, Van Tiep, Hoang, Viet Ha

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Homogenization of a multiscale multi-continuum system by Park, Richard Jun Sur, Hoang, Viet Ha

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An efficient hierarchical multiscale finite element method for stokes equations in slowly varying media by Brown, Donald L., Efendiev, Yalchin, Hoang, Viet Ha

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Sparse tensor product high dimensional finite elements for two-scale mixed problems by Chu, Van Tiep, Hoang, Viet Ha, Lim, Roktaek

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Polynomial approximations of a class of stochastic multiscale elasticity problems by Hoang, Viet Ha, Nguyen, Thanh Chung, Xia, Bingxing

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Using neural networks for approximating functions and equations by Li, Yongming

Other Authors: “…Hoang Viet Ha…”
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Homogenization and bounds for multiscale problems by Ang, Eng Hong

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Bayesian inversion for forward partial differential equations in mixed forms by Yang, Juntao

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