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Featured researches published by Bei Hu.


Journal of Scientific Computing | 2012

Continuation Along Bifurcation Branches for a Tumor Model with a Necrotic Core

Wenrui Hao; Jonathan D. Hauenstein; Bei Hu; Yuan Liu; Andrew J. Sommese; Yong-Tao Zhang

We consider a free boundary problem for a system of partial differential equations, which arises in a model of tumor growth with a necrotic core. For any positive number R and 0<ρ<R, there exists a radially-symmetric stationary solution with tumor free boundary r=R and necrotic free boundary r=ρ. The system depends on a positive parameter μ, which describes tumor aggressiveness, and for a sequence of values μ2<μ3<…, there exist branches of symmetry-breaking stationary solutions, which bifurcate from these values. Upon discretizing this model, we obtain a family of polynomial systems parameterized by tumor aggressiveness factorxa0μ. By continuously changing μ using a homotopy, we are able to compute nonradial symmetric solutions. We additionally discuss linear and nonlinear stability of such solutions.


Journal of Computational and Applied Mathematics | 2013

Computing steady-state solutions for a free boundary problem modeling tumor growth by Stokes equation

Wenrui Hao; Jonathan D. Hauenstein; Bei Hu; Timothy M. McCoy; Andrew J. Sommese

We consider a free boundary problem modeling tumor growth where the model equations include a diffusion equation for the nutrient concentration and the Stokes equation for the proliferation of tumor cells. For any positive radius R, it is known that there exists a unique radially symmetric stationary solution. The proliferation rate @m and the cell-to-cell adhesiveness @c are two parameters for characterizing aggressiveness of the tumor. We compute symmetry-breaking bifurcation branches of solutions by studying a polynomial discretization of the system. By tracking the discretized system, we numerically verified a sequence of @m/@c symmetry breaking bifurcation branches. Furthermore, we study the stability of both radially symmetric and radially asymmetric stationary solutions.


Applied Mathematics and Computation | 2011

A three-dimensional steady-state tumor system

Wenrui Hao; Jonathan D. Hauenstein; Bei Hu; Andrew J. Sommese

Abstract The growth of tumors can be modeled as a free boundary problem involving partial differential equations. We consider one such model and compute steady-state solutions for this model. These solutions include radially symmetric solutions where the free boundary is a sphere and nonradially symmetric solutions. Linear and nonlinear stability for these solutions are determined numerically.


Numerische Mathematik | 2007

On the rate of convergence of the binomial tree scheme for American options

Jin Liang; Bei Hu; Lishang Jiang; Baojun Bian

An American put option can be modelled as a variational inequality. With a penalization approximation to this variational inequality, the convergence rate


Journal of Scientific Computing | 2013

Cell Cycle Control and Bifurcation for a Free Boundary Problem Modeling Tissue Growth

Wenrui Hao; Bei Hu; Andrew J. Sommese


Archive | 2014

Numerical Algebraic Geometry and Differential Equations

Wenrui Hao; Bei Hu; Andrew J. Sommese

Obig((Delta x)^{2/3}big)


Journal of Computational and Applied Mathematics | 2018

Convergence of boundary integral method for a free boundary system

Wenrui Hao; Bei Hu; Shuwang Li; Lingyu Song


Nonlinear Analysis-real World Applications | 2012

Bifurcation for a free boundary problem modeling the growth of a tumor with a necrotic core

Wenrui Hao; Jonathan D. Hauenstein; Bei Hu; Yuan Liu; Andrew J. Sommese; Yong-Tao Zhang

of the Binomial Tree Scheme is obtained in this paper.


Journal of Computational and Applied Mathematics | 2009

Optimal convergence rate of the explicit finite difference scheme for American option valuation

Bei Hu; Jin Liang; Lishang Jiang

We consider a free boundary problem for a system of partial differential equations, which arise in a model of cell cycle with a free boundary. For the quasi steady state system, it depends on a positive parameter


Journal of Computational and Applied Mathematics | 2014

A bootstrapping approach for computing multiple solutions of differential equations

Wenrui Hao; Jonathan D. Hauenstein; Bei Hu; Andrew J. Sommese

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Yong-Tao Zhang

University of Notre Dame

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Yuan Liu

University of Notre Dame

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Shuwang Li

Illinois Institute of Technology

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