activity
20142023
most citedA Mesh-free Method Using Piecewise Deep Neural Network for Elliptic Interface Problems

5 citations · 7 across the 6 of their papers we have counts for

collaborators

8 papers

math.NA2023

A Local Fourier Analysis for Additive Schwarz Smoothers

Álvaro Pé de la Riva, Carmen Rodrigo, Francisco J. Gaspar +3

In this work, a local Fourier analysis is presented to study the convergence of multigrid methods based on additive Schwarz smoothers. This analysis is presented as a general frame…

math.NA20231 cited

Algebraic multigrid methods for metric-perturbed coupled problems

Ana Budisa, Xiaozhe Hu, Miroslav Kuchta +2

We develop multilevel methods for interface-driven multiphysics problems that can be coupled across dimensions and where complexity and strength of the interface coupling deteriora…

math.NA2023

Parameter-free preconditioning for nearly-incompressible linear elasticity

James H Adler, Xiaozhe Hu, Yuwen Li +1

It is well known that via the augmented Lagrangian method, one can solve Stokes' system by solving the nearly incompressible linear elasticity equation. In this paper, we show that…

math.NA2022

Rational approximation preconditioners for multiphysics problems

Ana Budisa, Xiaozhe Hu, Miroslav Kuchta +2

We consider a class of mathematical models describing multiphysics phenomena interacting through interfaces. On such interfaces, the traces of the fields lie (approximately) in the…

math.NA2022

Solving Graph Laplacians via Multilevel Sparsifiers

Xiaozhe Hu, Junyuan Lin

We consider effective preconditioners for solving Laplacians of general weighted graphs. Theoretically, spectral sparsifiers (SSs) provide preconditioners of optimal computational…

math.NA20221 cited

A Deep Neural Network/Meshfree Method for Solving Dynamic Two-phase Interface Problems

Xingwen Zhu, Xiaozhe Hu, Pengtao Sun

In this paper, a meshfree method using the deep neural network (DNN) approach is developed for solving two kinds of dynamic two-phase interface problems governed by different dynam…