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20142024
most citedDeep least-squares methods: an unsupervised learning-based numerical method for solving elliptic PDEs

115 citations · 220 across the 19 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

math.NA2021

Hybrid A Posteriori Error Estimators for Conforming Finite Element Approximations to Stationary Convection-Diffusion-Reaction equations

Difeng Cai, Zhiqiang Cai

We consider the a posteriori error estimation for convection-diffusion-reaction equations in both diffusion-dominated and convection/reaction-dominated regimes. We present an expli…

math.NA2021★ 1 cited

Adaptive Two-Layer ReLU Neural Network: II. Ritz Approximation to Elliptic PDEs

Min Liu, Zhiqiang Cai

In this paper, we study adaptive neuron enhancement (ANE) method for solving self-adjoint second-order elliptic partial differential equations (PDEs). The ANE method is a self-adap…

math.NA2021★ 1 cited

Adaptive Two-Layer ReLU Neural Network: I. Best Least-squares Approximation

Min Liu, Zhiqiang Cai, Jingshuang Chen

In this paper, we introduce adaptive neuron enhancement (ANE) method for the best least-squares approximation using two-layer ReLU neural networks (NNs). For a given function f(x),…

math.NA2021★ 45 cited

Least-Squares ReLU Neural Network (LSNN) Method For Linear Advection-Reaction Equation

Zhiqiang Cai, Jingshuang Chen, Min Liu

This paper studies least-squares ReLU neural network method for solving the linear advection-reaction problem with discontinuous solution. The method is a discretization of an equi…

math.NA2021★ 4 cited

Least-Squares ReLU Neural Network (LSNN) Method For Scalar Nonlinear Hyperbolic Conservation Law

Zhiqiang Cai, Jingshuang Chen, Min Liu

We introduced the least-squares ReLU neural network (LSNN) method for solving the linear advection-reaction problem with discontinuous solution and showed that the method outperfor…