High-order approximation rates for shallow neural networks with cosine and ReLUk activation functions

JW Siegel, J Xu - Applied and Computational Harmonic Analysis, 2022 - Elsevier
We study the approximation properties of shallow neural networks with an activation function
which is a power of the rectified linear unit. Specifically, we consider the dependence of the …

A multigrid method for eigenvalue problem

H Xie - Journal of Computational Physics, 2014 - Elsevier
A multigrid method is proposed to solve the eigenvalue problem by the finite element
method based on the combination of the multilevel correction scheme for the eigenvalue …

Local energy estimates for the fractional Laplacian

JP Borthagaray, D Leykekhman, RH Nochetto - SIAM Journal on Numerical …, 2021 - SIAM
The integral fractional Laplacian of order s∈(0,1) is a nonlocal operator. It is known that
solutions to the Dirichlet problem involving such an operator exhibit an algebraic boundary …

Learning robust marking policies for adaptive mesh refinement

A Gillette, B Keith, S Petrides - SIAM Journal on Scientific Computing, 2024 - SIAM
In this work, we revisit the marking decisions made in the standard adaptive finite element
method (AFEM). Experience shows that a naïve marking policy leads to inefficient use of …

Computing the lower and upper bounds of Laplace eigenvalue problem: by combining conforming and nonconforming finite element methods

FS Luo, Q Lin, HH Xie - Science China Mathematics, 2012 - Springer
We introduce some ways to compute the lower and upper bounds of the Laplace eigenvalue
problem. By using the special nonconforming finite elements, ie, enriched Crouzeix-Raviart …

A multilevel correction adaptive finite element method for Kohn–Sham equation

G Hu, H Xie, F Xu - Journal of Computational Physics, 2018 - Elsevier
In this paper, an adaptive finite element method is proposed for solving Kohn–Sham
equation with the multilevel correction technique. In the method, the Kohn–Sham equation is …

Two-sided bounds for eigenvalues of differential operators with applications to Friedrichs, Poincaré, trace, and similar constants

I Šebestová, T Vejchodský - SIAM Journal on Numerical Analysis, 2014 - SIAM
We present a general numerical method for computing guaranteed two-sided bounds for
principal eigenvalues of symmetric linear elliptic differential operators. The approach is …

[PDF][PDF] The weak Galerkin method for elliptic eigenvalue problems

Q Zhai, H Xie, R Zhang, Z Zhang - Commun. Comput. Phys., 2019 - global-sci.com
This article is devoted to studying the application of the weak Galerkin (WG) finite element
method to the elliptic eigenvalue problem with an emphasis on obtaining lower bounds. The …

How many numerical eigenvalues can we trust?

Z Zhang - Journal of Scientific Computing, 2015 - Springer
When using finite element and finite difference methods to approximate eigenvalues of 2m
th-order elliptic problems, the number of reliable numerical eigenvalues can be estimated in …

A nonnested augmented subspace method for elliptic eigenvalue problems with curved interfaces

H Dang, H Xie, G Zhao, C Zhou - Journal of Scientific Computing, 2023 - Springer
In this paper, we present a nonnested augmented subspace algorithm and its multilevel
correction method for solving elliptic eigenvalue problems with curved interfaces. The …