Numerical weighted integration of functions having mixed smoothness

08/19/2022
by   Dinh Dũng, et al.
0

We investigate the approximation of weighted integrals over ℝ^d for integrands from weighted Sobolev spaces of mixed smoothness. We prove upper and lower bounds of the convergence rate of optimal quadratures with respect to n integration nodes, for functions from these spaces. In the one-dimensional case (d=1), we obtain the right convergence rate of optimal quadratures . For d ≥ 2, the upper bound is performed by sparse-grid quadratures with integration nodes on step hyperbolic crosses in the function domain ℝ^d.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/04/2022

Optimal numerical integration and approximation of functions on ℝ^d equipped with Gaussian measure

We investigate the numerical approximation of integrals over ℝ^d equippe...
research
09/10/2023

Sparse-grid sampling recovery and numerical integration of functions having mixed smoothness

We give a short survey of recent results on sparse-grid linear algorithm...
research
12/12/2022

Tractability of L_2-approximation and integration in weighted Hermite spaces of finite smoothness

In this paper we consider integration and L_2-approximation for function...
research
01/23/2020

Randomized sparse grid algorithms for multivariate integration on Haar-Wavelet spaces

The deterministic sparse grid method, also known as Smolyak's method, is...
research
03/30/2020

Numerical integration without smoothness assumption

We consider numerical integration in classes, for which we do not impose...
research
07/19/2021

High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids

High-dimensional simulation optimization is notoriously challenging. We ...
research
03/18/2022

Rate-optimal sparse approximation of compact break-of-scale embeddings

The paper is concerned with the sparse approximation of functions having...

Please sign up or login with your details

Forgot password? Click here to reset