Cover Image

Adaptive and non-adaptive randomized approximation of high-dimensional vectors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kunsch, Robert J., Wnuk, Marcin
Format:	Preprint
Published:	2024
Subjects:	Numerical Analysis 65C, 65D, 46, 60
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uniform approximation of vectors using adaptive randomized information
by: Kunsch, Robert J., et al.
Published: (2024)

Randomized approximation of summable sequences -- adaptive and non-adaptive
by: Kunsch, Robert, et al.
Published: (2023)

Error-rate and decision-theoretic methods of multiple testing: Which genes have high objective probabilities of differential expression?
by: Bickel, David R.
Published: (2002)

An efficient implementation algorithm for quasi-Monte Carlo approximations of high-dimensional integrals
by: Zhong, Huicong, et al.
Published: (2024)

A two-step surrogate method for sequential uncertainty quantification in high-dimensional inverse problems
by: Yang, Ningxin, et al.
Published: (2024)

Vector Subdivision Schemes for Arbitrary Matrix Masks
by: Han, Bin
Published: (2022)

Best polynomial approximation for non-autonomous linear ODEs in the $\star$-product framework
by: Pozza, Stefano
Published: (2024)

Manifold-valued function approximation from multiple tangent spaces
by: Wang, Hang, et al.
Published: (2025)

Strong order 1 adaptive approximation of jump-diffusion SDEs with discontinuous drift
by: Schwarz, Verena
Published: (2025)

Divergence-Kernel method for scores of random systems
by: Ni, Angxiu
Published: (2025)

An analysis of the derivative-free loss method for solving PDEs
by: Han, Jihun, et al.
Published: (2023)

Robust radial basis function interpolation based on geodesic distance for the numerical coupling of multiphysics problems
by: Bucelli, Michele, et al.
Published: (2024)

Efficient implicit-explicit sparse stochastic method for high dimensional semi-linear nonlocal diffusion equations
by: Sheng, Changtao, et al.
Published: (2025)

Uncertainty quantification for stationary and time-dependent PDEs subject to Gevrey regular random domain deformations
by: Djurdjevac, Ana, et al.
Published: (2025)

Hyperbolic trigonometric functions as approximation kernels and their properties II: Wavelets
by: Buhmann, M., et al.
Published: (2025)

Convergence for adaptive resampling of random Fourier features
by: Huang, Xin, et al.
Published: (2025)

Quasi-Monte Carlo with a Hankel random digital net
by: Goda, Takashi, et al.
Published: (2026)

Computation of the exponential function of matrices by a formula without oscillatory integrals on infinite intervals
by: Suzuki, Masato, et al.
Published: (2024)

Interpolation, projection and hierarchical bases in discontinuous Galerkin methods
by: Angermann, Lutz, et al.
Published: (2011)

Antithetic multilevel Monte Carlo method for approximations of SDEs with non-globally Lipschitz continuous coefficients
by: Pang, Chenxu, et al.
Published: (2023)

Higher order accurate mass lumping for explicit isogeometric methods based on approximate dual basis functions
by: Hiemstra, Rene, et al.
Published: (2023)

Anchor-Based Function Extrapolation with Proven Bounds and Projection Guarantees
by: Hay, Guy, et al.
Published: (2026)

Adaptive Bivariate Quarklet Tree Approximation via Anisotropic Tensor Quarklets
by: Hovemann, Marc
Published: (2025)

Sparse grids vs. random points for high-dimensional polynomial approximation
by: Eggl, Jakob, et al.
Published: (2025)

Reaching the equilibrium: Long-term stable approximations for stochastic non-Newtonian Stokes equations with transport noise
by: Droniou, Jerome, et al.
Published: (2024)

Exponentially convergent trapezoidal rules to approximate fractional powers of operators
by: Aceto, Lidia, et al.
Published: (2021)

Rational approximation to the fractional Laplacian operator in reaction-diffusion problems
by: Aceto, Lidia, et al.
Published: (2016)

Sparsity for parametric PDEs with log-gamma random inputs and applications
by: Dũng, Dinh, et al.
Published: (2026)

An inverse random diffraction grating problem for the Helmholtz equation
by: Sun, Zhiqi, et al.
Published: (2025)

Piecewise-polynomial interpolations and quadratures for parametric PDEs with log-Laplace random inputs
by: Dũng, Dinh
Published: (2026)

A deep backward regression-based scheme for high-dimensional nonlinear partial differential equations
by: Han, Qiang, et al.
Published: (2026)

Asymptotic and pre-asymptotic convergence of sparse grids for anisotropic kernel interpolation
by: Addy, Elliot J., et al.
Published: (2026)

SIAC Accuracy Enhancement of Stochastic Galerkin Solutions for Wave Equations with Uncertain Coefficients
by: Galindo-Olarte, Andrés, et al.
Published: (2025)

Pathwise uniform convergence of numerical approximations for a two-dimensional stochastic Navier-Stokes equation with no-slip boundary conditions
by: Li, Binjie, et al.
Published: (2024)

Uniform in time convergence of numerical schemes for stochastic differential equations via Strong Exponential stability: Euler methods, Split-Step and Tamed Schemes
by: Angeli, Letizia, et al.
Published: (2023)

An Adaptive Sampling Algorithm for Level-set Approximation
by: Croci, Matteo, et al.
Published: (2025)

An Euler scheme for McKean SDEs with Besov drift: convergence rate and implementation
by: Jaquez, Luis Mario Chaparro, et al.
Published: (2026)

Convergence rate of numerical scheme for SDEs with a distributional drift in Besov space
by: Jáquez, Luis Mario Chaparro, et al.
Published: (2023)

Adaptive Kernel Methods
by: Dózsa, Tamás, et al.
Published: (2026)

On the complexity of strong approximation of stochastic differential equations with a non-Lipschitz drift coefficient
by: Müller-Gronbach, T., et al.
Published: (2024)