A simple universal algorithm for high-dimensional integration
Fuente:
arXiv
Saved in:
| Main Authors: | Goda, Takashi, Krieg, David |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Function recovery on manifolds using scattered data
by: Krieg, David, et al.
Published: (2021)
by: Krieg, David, et al.
Published: (2021)
A lattice algorithm with multiple shifts for function approximation in Korobov spaces
by: Cai, Mou, et al.
Published: (2025)
by: Cai, Mou, et al.
Published: (2025)
Quasi-interpolation for high-dimensional function approximation
by: Gao, Wenwu, et al.
Published: (2024)
by: Gao, Wenwu, et al.
Published: (2024)
Weighted approximate sampling recovery and integration based on B-spline interpolation and quasi-interpolation
by: Dũng, Dinh
Published: (2025)
by: Dũng, Dinh
Published: (2025)
On the cardinality of lower sets and universal discretization
by: Dai, F., et al.
Published: (2022)
by: Dai, F., et al.
Published: (2022)
Bounds for the sampling discretization error and their applications to the universal sampling discretization
by: Kosov, E. D., et al.
Published: (2023)
by: Kosov, E. D., et al.
Published: (2023)
Multivariate Interpolation in Unisolvent Nodes -- Lifting the Curse of Dimensionality
by: Hecht, Michael, et al.
Published: (2020)
by: Hecht, Michael, et al.
Published: (2020)
Comparative study on higher order compact RBF-FD formulas with Gaussian and Multiquadric radial functions
by: Yadav, Manoj Kumar, et al.
Published: (2024)
by: Yadav, Manoj Kumar, et al.
Published: (2024)
Error bounds for numerical differentiation using kernels of finite smoothness
by: Davydov, Oleg
Published: (2025)
by: Davydov, Oleg
Published: (2025)
How sharp are error bounds? --lower bounds on quadrature worst-case errors for analytic functions
by: Goda, Takashi, et al.
Published: (2024)
by: Goda, Takashi, et al.
Published: (2024)
Constructive Approximation of High-Dimensional Functions with Small Efficient Dimension with Applications in Uncertainty Quantification
by: Rieger, Christian, et al.
Published: (2024)
by: Rieger, Christian, et al.
Published: (2024)
Approximation by quadrilateral finite elements
by: Arnold, Douglas N., et al.
Published: (2000)
by: Arnold, Douglas N., et al.
Published: (2000)
Function values are enough for $L_2$-approximation
by: Krieg, David, et al.
Published: (2019)
by: Krieg, David, et al.
Published: (2019)
An iterative method for the solution of Laplace-like equations in high and very high space dimensions
by: Yserentant, Harry
Published: (2024)
by: Yserentant, Harry
Published: (2024)
Exploiting locality in sparse polynomial approximation of parametric elliptic PDEs and application to parameterized domains
by: van Harten, Wouter, et al.
Published: (2023)
by: van Harten, Wouter, et al.
Published: (2023)
Superconvergence points of Hermite spectral interpolation
by: Wang, Haiyong, et al.
Published: (2025)
by: Wang, Haiyong, et al.
Published: (2025)
Optimal approximation of infinite-dimensional holomorphic functions II: recovery from i.i.d. pointwise samples
by: Adcock, Ben, et al.
Published: (2023)
by: Adcock, Ben, et al.
Published: (2023)
Convergence analysis of Hermite approximations for analytic functions
by: Wang, Haiyong, et al.
Published: (2023)
by: Wang, Haiyong, et al.
Published: (2023)
Generalized $C^1$ quadratic B-splines generated by Merrien subdivision algorithm and some applications
by: Sablonniere, Paul
Published: (2004)
by: Sablonniere, Paul
Published: (2004)
Weighted least $\ell_p$ approximation on compact Riemannian manifolds
by: Li, Jiansong, et al.
Published: (2024)
by: Li, Jiansong, et al.
Published: (2024)
High-dimensional sparse trigonometric approximation in the uniform norm and consequences for sampling recovery
by: Moeller, Moritz, et al.
Published: (2024)
by: Moeller, Moritz, et al.
Published: (2024)
Sampling projections in the uniform norm
by: Krieg, David, et al.
Published: (2024)
by: Krieg, David, et al.
Published: (2024)
Escaping the native space of Sobolev kernels by interpolation
by: Ehring, Tobias, et al.
Published: (2025)
by: Ehring, Tobias, et al.
Published: (2025)
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel
by: Khamlich, Moaad, et al.
Published: (2023)
by: Khamlich, Moaad, et al.
Published: (2023)
Time-Frequency Analysis for Neural Networks
by: Abdeljawad, Ahmed, et al.
Published: (2025)
by: Abdeljawad, Ahmed, et al.
Published: (2025)
Entropy-based convergence rates of greedy algorithms
by: Li, Yuwen, et al.
Published: (2023)
by: Li, Yuwen, et al.
Published: (2023)
Function values are enough for $L_2$-approximation: Part II
by: Krieg, David, et al.
Published: (2020)
by: Krieg, David, et al.
Published: (2020)
The Fekete problem in segmental polynomial interpolation
by: Bruno, Ludovico Bruni, et al.
Published: (2024)
by: Bruno, Ludovico Bruni, et al.
Published: (2024)
Compression using Quasi-Interpolation
by: Buhmann, Martin, et al.
Published: (2024)
by: Buhmann, Martin, et al.
Published: (2024)
Nonlinear stationary subdivision schemes that reproduce trigonometric functions
by: Donat, Rosa, et al.
Published: (2018)
by: Donat, Rosa, et al.
Published: (2018)
Asymptotically short generalizations of $t$-design curves
by: Lindblad, Ayodeji
Published: (2025)
by: Lindblad, Ayodeji
Published: (2025)
Christoffel Adaptive Sampling for Sparse Random Feature Expansions
by: Adcock, Ben, et al.
Published: (2026)
by: Adcock, Ben, et al.
Published: (2026)
Kernel interpolation on generalized sparse grids
by: Griebel, Michael, et al.
Published: (2025)
by: Griebel, Michael, et al.
Published: (2025)
Kernel interpolation in Sobolev spaces of hybrid regularity
by: Griebel, M., et al.
Published: (2025)
by: Griebel, M., et al.
Published: (2025)
A theoretical analysis on the inversion of matrices via Neural Networks designed with Strassen algorithm
by: Romera, Gonzalo, et al.
Published: (2025)
by: Romera, Gonzalo, et al.
Published: (2025)
Asymptotically optimal $t$-design curves on $S^3$
by: Lindblad, Ayodeji
Published: (2024)
by: Lindblad, Ayodeji
Published: (2024)
A new analysis of empirical interpolation methods and Chebyshev greedy algorithms
by: Li, Yuwen
Published: (2024)
by: Li, Yuwen
Published: (2024)
Simultaneous spatial-parametric collocation approximation for parametric PDEs with log-normal random inputs
by: Dũng, Dinh
Published: (2025)
by: Dũng, Dinh
Published: (2025)
Quasi-interpolation using generalized Gaussian kernels
by: Gao, Wenwu, et al.
Published: (2024)
by: Gao, Wenwu, et al.
Published: (2024)
SUPN: Shallow Universal Polynomial Networks
by: Morrow, Zachary, et al.
Published: (2025)
by: Morrow, Zachary, et al.
Published: (2025)
Similar Items
-
Function recovery on manifolds using scattered data
by: Krieg, David, et al.
Published: (2021) -
A lattice algorithm with multiple shifts for function approximation in Korobov spaces
by: Cai, Mou, et al.
Published: (2025) -
Quasi-interpolation for high-dimensional function approximation
by: Gao, Wenwu, et al.
Published: (2024) -
Weighted approximate sampling recovery and integration based on B-spline interpolation and quasi-interpolation
by: Dũng, Dinh
Published: (2025) -
On the cardinality of lower sets and universal discretization
by: Dai, F., et al.
Published: (2022)