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Dinh Dung
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2020 – today
- 2024
- [i13]Dinh Dung:
Weighted sampling recovery of functions with mixed smoothness. CoRR abs/2405.16400 (2024) - [i12]Dinh Dung:
Weighted hyperbolic cross polynomial approximation. CoRR abs/2407.19442 (2024) - [i11]Felix Bartel, Dinh Dung:
Sampling recovery in Bochner spaces and applications to parametric PDEs with random inputs. CoRR abs/2409.05050 (2024) - 2023
- [j22]Dinh Dung:
Numerical weighted integration of functions having mixed smoothness. J. Complex. 78: 101757 (2023) - [j21]Dinh Dung, Van Kien Nguyen, Duong Thanh Pham:
Deep ReLU neural network approximation in Bochner spaces and applications to parametric PDEs. J. Complex. 79: 101779 (2023) - [i10]Dinh Dung:
Sparse-grid sampling recovery and numerical integration of functions having mixed smoothness. CoRR abs/2309.04994 (2023) - 2022
- [i9]Dinh Dung, Van Kien Nguyen, Christoph Schwab, Jakob Zech:
Analyticity and sparsity in uncertainty quantification for PDEs with Gaussian random field inputs. CoRR abs/2201.01912 (2022) - [i8]Dinh Dung, Van Kien Nguyen:
Optimal numerical integration and approximation of functions on Rd equipped with Gaussian measure. CoRR abs/2207.01155 (2022) - [i7]Dinh Dung:
Numerical weighted integration of functions having mixed smoothness. CoRR abs/2208.09108 (2022) - 2021
- [j20]Dinh Dung, Van Kien Nguyen:
Deep ReLU neural networks in high-dimensional approximation. Neural Networks 142: 619-635 (2021) - [i6]Dinh Dung, Van Kien Nguyen:
High-dimensional nonlinear approximation by parametric manifolds in Hölder-Nikol'skii spaces of mixed smoothness. CoRR abs/2102.04370 (2021) - [i5]Dinh Dung, Van Kien Nguyen, Mai Xuan Thao:
Computation complexity of deep ReLU neural networks in high-dimensional approximation. CoRR abs/2103.00815 (2021) - [i4]Dinh Dung:
Collocation approximation by deep neural ReLU networks for parametric elliptic PDEs with lognormal inputs. CoRR abs/2111.05504 (2021) - [i3]Dinh Dung, Van Kien Nguyen, Duong Thanh Pham:
Deep ReLU neural network approximation of parametric and stochastic elliptic PDEs with lognormal inputs. CoRR abs/2111.05854 (2021) - 2020
- [j19]Dinh Dung, Mai Xuan Thao:
Dimension-dependent error estimates for sampling recovery on Smolyak grids based on B-spline quasi-interpolation. J. Approx. Theory 250 (2020) - [i2]Dinh Dung, Van Kien Nguyen:
Sparse-grid sampling recovery and deep ReLU neural networks in high-dimensional approximation. CoRR abs/2007.08729 (2020) - [i1]Dinh Dung, Charles A. Micchelli, Vu Nhat Huy:
Approximation by linear combinations of translates of a single function. CoRR abs/2012.08086 (2020)
2010 – 2019
- 2019
- [j18]Dinh Dung, Charles A. Micchelli, Vu Nhat Huy:
Approximation by translates of a single function of functions in space induced by the convolution with a given function. Appl. Math. Comput. 361: 777-787 (2019) - 2018
- [j17]Dinh Dung, Michael Griebel, Vu Nhat Huy, Christian Rieger:
ε-dimension in infinite dimensional hyperbolic cross approximation and application to parametric elliptic PDEs. J. Complex. 46: 66-89 (2018) - 2017
- [j16]Markus Bachmayr, Albert Cohen, Dinh Dung, Christoph Schwab:
Fully Discrete Approximation of Parametric and Stochastic Elliptic PDEs. SIAM J. Numer. Anal. 55(5): 2151-2186 (2017) - 2016
- [j15]Dinh Dung:
Sampling and Cubature on Sparse Grids Based on a B-spline Quasi-Interpolation. Found. Comput. Math. 16(5): 1193-1240 (2016) - [j14]Glenn Byrenheid, Dinh Dung, Winfried Sickel, Tino Ullrich:
Sampling on energy-norm based sparse grids for the optimal recovery of Sobolev type functions in Hγ. J. Approx. Theory 207: 207-231 (2016) - [j13]Alexey Chernov, Dinh Dung:
New explicit-in-dimension estimates for the cardinality of high-dimensional hyperbolic crosses and approximation of functions having mixed smoothness. J. Complex. 32(1): 92-121 (2016) - [j12]Dinh Dung, Michael Griebel:
Hyperbolic cross approximation in infinite dimensions. J. Complex. 33: 55-88 (2016) - [j11]Dinh Dung, Charles A. Micchelli:
Corrigendum to "Multivariate approximation by translates of the Korobov function on Smolyak grids" [J. Complexity 29 (2013) 424-437]. J. Complex. 35: 124-125 (2016) - 2013
- [j10]Dinh Dung, Tino Ullrich:
N-Widths and ε-Dimensions for High-Dimensional Approximations. Found. Comput. Math. 13(6): 965-1003 (2013) - [j9]Dinh Dung:
Continuous algorithms in adaptive sampling recovery. J. Approx. Theory 166: 136-153 (2013) - [j8]Dinh Dung, Charles A. Micchelli:
Multivariate approximation by translates of the Korobov function on Smolyak grids. J. Complex. 29(6): 424-437 (2013) - 2012
- [j7]Dinh Dung:
Erratum to: Optimal adaptive sampling recovery. Adv. Comput. Math. 36(4): 605-606 (2012) - 2011
- [j6]Dinh Dung:
Optimal adaptive sampling recovery. Adv. Comput. Math. 34(1): 1-41 (2011) - [j5]Dinh Dung, Tino Ullrich:
Whitney type inequalities for local anisotropic polynomial approximation. J. Approx. Theory 163(11): 1590-1605 (2011) - [j4]Dinh Dung:
B-spline quasi-interpolant representations and sampling recovery of functions with mixed smoothness. J. Complex. 27(6): 541-567 (2011)
2000 – 2009
- 2009
- [j3]Dinh Dung:
Non-linear sampling recovery based on quasi-interpolant wavelet representations. Adv. Comput. Math. 30(4): 375-401 (2009) - 2005
- [j2]Dinh Dung, Jean-Paul Calvi, Nguyên Tiên Trung:
Polynomial projectors preserving homogeneous partial differential equations. J. Approx. Theory 135(2): 221-232 (2005) - 2001
- [j1]Dinh Dung:
Non-linear Approximations Using Sets of Finite Cardinality or Finite Pseudo-dimension. J. Complex. 17(2): 467-492 (2001)
Coauthor Index
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last updated on 2024-10-10 21:18 CEST by the dblp team
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