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20142024
most citedA Mesh-free Method Using Piecewise Deep Neural Network for Elliptic Interface Problems

5 citations · 7 across the 11 of their papers we have counts for

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6 papers · 1 filter

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…

math.NA20205 cited

A Mesh-free Method Using Piecewise Deep Neural Network for Elliptic Interface Problems

Cuiyu He, Xiaozhe Hu, Lin Mu

In this paper, we propose a novel mesh-free numerical method for solving the elliptic interface problems based on deep learning. We approximate the solution by the neural networks…