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20182021
most citedLearn bifurcations of nonlinear parametric systems via equation-driven neural networks

1 citations · 1 across the 4 of their papers we have counts for

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5 papers

math.NA2021★ 1 cited

Learn bifurcations of nonlinear parametric systems via equation-driven neural networks

Wenrui Hao, Chunyue Zheng

Nonlinear parametric systems have been widely used in modeling nonlinear dynamics in science and engineering. Bifurcation analysis of these nonlinear systems on the parameter space…

math.NA2021

A stochastic homotopy tracking algorithm for parametric systems of nonlinear equations

Wenrui Hao, Chunyue Zheng

The homotopy continuation method has been widely used in solving parametric systems of nonlinear equations. But it can be very expensive and inefficient due to singularities during…

math.AP2020

Bifurcation analysis of a free boundary model of plaque formation associated with the cholesterol ratio

Wenrui Hao, Chunyue Zheng

The low-density lipoprotein (LDL)/high-density lipoprotein (HDL)-cholesterol ratio has been shown a high correlation with the cardiovascular risk assessment. Is it possible to quan…

math.NA2020

An adaptive homotopy method for computing bifurcations of nonlinear parametric systems

Wenrui Hao, Chunyue Zheng

In this paper, we present an adaptive step-size homotopy tracking method for computing bifurcation points of nonlinear systems. There are four components in this new method: 1) an…

math.NA2018

ReLU Deep Neural Networks and Linear Finite Elements

Juncai He, Lin Li, Jinchao Xu +1

In this paper, we investigate the relationship between deep neural networks (DNN) with rectified linear unit (ReLU) function as the activation function and continuous piecewise lin…