Dinh Dung

Orcid: 0000-0003-2333-5623

According to our database1, Dinh Dung authored at least 31 papers between 2001 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Deep ReLU neural network approximation in Bochner spaces and applications to parametric PDEs.
J. Complex., December, 2023

Numerical weighted integration of functions having mixed smoothness.
J. Complex., October, 2023

Sparse-grid sampling recovery and numerical integration of functions having mixed smoothness.
CoRR, 2023

2022
Optimal numerical integration and approximation of functions on R<sup>d</sup> equipped with Gaussian measure.
CoRR, 2022

Analyticity and sparsity in uncertainty quantification for PDEs with Gaussian random field inputs.
CoRR, 2022

2021
Deep ReLU neural networks in high-dimensional approximation.
Neural Networks, 2021

Deep ReLU neural network approximation of parametric and stochastic elliptic PDEs with lognormal inputs.
CoRR, 2021

Collocation approximation by deep neural ReLU networks for parametric elliptic PDEs with lognormal inputs.
CoRR, 2021

Computation complexity of deep ReLU neural networks in high-dimensional approximation.
CoRR, 2021

High-dimensional nonlinear approximation by parametric manifolds in Hölder-Nikol'skii spaces of mixed smoothness.
CoRR, 2021

2020
Dimension-dependent error estimates for sampling recovery on Smolyak grids based on B-spline quasi-interpolation.
J. Approx. Theory, 2020

Approximation by linear combinations of translates of a single function.
CoRR, 2020

Sparse-grid sampling recovery and deep ReLU neural networks in high-dimensional approximation.
CoRR, 2020

2019
Approximation by translates of a single function of functions in space induced by the convolution with a given function.
Appl. Math. Comput., 2019

2018
ε-dimension in infinite dimensional hyperbolic cross approximation and application to parametric elliptic PDEs.
J. Complex., 2018

2017
Fully Discrete Approximation of Parametric and Stochastic Elliptic PDEs.
SIAM J. Numer. Anal., 2017

2016
Corrigendum to "Multivariate approximation by translates of the Korobov function on Smolyak grids" [J. Complexity 29 (2013) 424-437].
J. Complex., 2016

Hyperbolic cross approximation in infinite dimensions.
J. Complex., 2016

New explicit-in-dimension estimates for the cardinality of high-dimensional hyperbolic crosses and approximation of functions having mixed smoothness.
J. Complex., 2016

Sampling on energy-norm based sparse grids for the optimal recovery of Sobolev type functions in H<sup>γ</sup>.
J. Approx. Theory, 2016

Sampling and Cubature on Sparse Grids Based on a B-spline Quasi-Interpolation.
Found. Comput. Math., 2016

2013
Multivariate approximation by translates of the Korobov function on Smolyak grids.
J. Complex., 2013

Continuous algorithms in adaptive sampling recovery.
J. Approx. Theory, 2013

N-Widths and ε-Dimensions for High-Dimensional Approximations.
Found. Comput. Math., 2013

2012
Erratum to: Optimal adaptive sampling recovery.
Adv. Comput. Math., 2012

2011
B-spline quasi-interpolant representations and sampling recovery of functions with mixed smoothness.
J. Complex., 2011

Whitney type inequalities for local anisotropic polynomial approximation.
J. Approx. Theory, 2011

Optimal adaptive sampling recovery.
Adv. Comput. Math., 2011

2009
Non-linear sampling recovery based on quasi-interpolant wavelet representations.
Adv. Comput. Math., 2009

2005
Polynomial projectors preserving homogeneous partial differential equations.
J. Approx. Theory, 2005

2001
Non-linear Approximations Using Sets of Finite Cardinality or Finite Pseudo-dimension.
J. Complex., 2001


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