activity
20142026
most citedDeep ReLU neural network approximation in Bochner spaces and applications to parametric PDEs

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2026

Approximation of PDE solution manifolds: Sparse-grid interpolation and quadrature

Dinh Dũng, Van Kien Nguyen, Duong Thanh Pham +1

We study fully-discrete approximations and quadratures of infinite-variate functions in abstract Bochner spaces associated with a Hilbert space and an infinite-tensor-product J…

math.NA2021★ 1 cited

Deep ReLU neural network approximation in Bochner spaces and applications to parametric PDEs

Dinh Dũng, Van Kien Nguyen, Duong Thanh Pham

We investigate non-adaptive methods of deep ReLU neural network approximation in Bochner spaces of functions on taking values i…

math.AP2020

A parabolic equation on domains with random boundaries

Duong Thanh Pham, Thanh Tran

A heat equation with uncertain domains is thoroughly investigated. Statistical moments of the solution is approximated by the counterparts of the shape derivative. A rigorous proof…

math.NA2019

A posteriori error estimates for hypersingular integral equation on spheres with spherical splines

Duong Thanh Pham, Tung Le

A posteriori residual and hierarchical upper bounds for the error estimates were proved when solving the hypersingular integral equation on the unit sphere by using the Galerkin me…

math.NA2014

A shape calculus based method for a transmission problem with random interface

Alexey Chernov, Duong Pham, Thanh Tran

The present work is devoted to approximation of the statistical moments of the unknown solution of a class of elliptic transmission problems in with randomly perturbe…