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Dive into the research topics where Hai Bi is active.

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Featured researches published by Hai Bi.


Abstract and Applied Analysis | 2012

A Two-Scale Discretization Scheme for Mixed Variational Formulation of Eigenvalue Problems

Yidu Yang; Wei Jiang; Yu Zhang; Wenjun Wang; Hai Bi

This paper discusses highly efficient discretization schemes for mixed variational formulation of eigenvalue problems. A new finite element two-scale discretization scheme is proposed by combining the mixed finite element method with the shifted-inverse power method for solving matrix eigenvalue problems. With this scheme, the solution of an eigenvalue problem on a fine grid is reduced to the solution of an eigenvalue problem on a much coarser grid and the solution of a linear algebraic system on the fine grid . Theoretical analysis shows that the scheme has high efficiency. For instance, when using the Mini element to solve Stokes eigenvalue problem, the resulting solution can maintain an asymptotically optimal accuracy by taking , and when using the - element to solve eigenvalue problems of electric field, the calculation results can maintain an asymptotically optimal accuracy by taking . Finally, numerical experiments are presented to support the theoretical analysis.


Abstract and Applied Analysis | 2012

Multigrid Discretization and Iterative Algorithm for Mixed Variational Formulation of the Eigenvalue Problem of Electric Field

Yidu Yang; Yu Zhang; Hai Bi

This paper discusses highly finite element algorithms for the eigenvalue problem of electric field. Combining the mixed finite element method with the Rayleigh quotient iteration method, a new multi-grid discretization scheme and an adaptive algorithm are proposed and applied to the eigenvalue problem of electric field. Theoretical analysis and numerical results show that the computational schemes established in the paper have high efficiency.


Journal of Computational and Applied Mathematics | 2017

A C0IPG method and its error estimates for the Helmholtz transmission eigenvalue problem

Yidu Yang; Hai Bi; Hao Li; Jiayu Han

Abstract The interior penalty methods using C 0 Lagrange elements ( C 0 IPG ) developed in the last decade for the fourth order problems are an interesting topic in academia at present. In this paper, we apply the methods to the Helmholtz transmission eigenvalue problem which is quadratic and non self-adjoint and has important applications in the inverse scattering theory. We propose a discrete scheme, present a complete error analysis and first prove the C 0 IPG method can capture smooth eigenpairs efficiently. Using the argument in this paper we can prove that the C 0 IPG methods for the fourth order eigenvalue problems in the existing literature can also capture smooth eigenpairs efficiently. Numerical examples confirm our theoretical analysis.


Applied Mathematics and Computation | 2017

A new multigrid finite element method for the transmission eigenvalue problems

Jiayu Han; Yidu Yang; Hai Bi

Numerical methods for the transmission eigenvalue problems are hot topics in recent years. Based on the work of Lin and Xie (2015), we build a multigrid method to solve the problems. With our method, we only need to solve a series of primal and dual eigenvalue problems on a coarse mesh and the associated boundary value problems on the finer and finer meshes. Theoretical analysis and numerical results show that our method is simple and easy to implement and is efficient for computing real and complex transmission eigenvalues.


Computers & Mathematics With Applications | 2016

The lower bound property of the Morley element eigenvalues

Yidu Yang; Hao Li; Hai Bi

In this paper, we prove that the Morley element eigenvalues approximate the exact ones from below on regular meshes, including adaptive local refined meshes, for the fourth-order elliptic eigenvalue problems with the clamped boundary condition in any dimension. And we implement the adaptive computation with the Morley element to obtain lower bounds of eigenvalues for the vibration problem of clamped plate under tension and a fourth-order elliptic eigenvalue problem with variable coefficients.


Journal of Scientific Computing | 2018

Local and Parallel Finite Element Algorithms for the Transmission Eigenvalue Problem

Hai Bi; Jiayu Han; Yidu Yang

Based on the work of Xu and Zhou (Math Comp 69:881–909, 2000), we establish local and parallel algorithms for the Helmholtz transmission eigenvalue problem. For the


Applied Mathematics and Computation | 2018

The adaptive Ciarlet–Raviart mixed method for biharmonic problems with simply supported boundary condition

Yidu Yang; Hai Bi; Yu Zhang


Computers & Mathematics With Applications | 2017

A two-grid discretization scheme of non-conforming finite elements for transmission eigenvalues

Shixi Wang; Hai Bi; Yu Zhang; Yidu Yang

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Applied Numerical Mathematics | 2010

Lower spectral bounds by Wilson's brick discretization

Yidu Yang; Hai Bi


Applied Numerical Mathematics | 2014

A note on the residual type a posteriori error estimates for finite element eigenpairs of nonsymmetric elliptic eigenvalue problems

Yidu Yang; Lingling Sun; Hai Bi; Hao Li

H2-conforming finite element and the spectral element approximations, we prove the local error estimates and the efficiency of local and parallel algorithms. Numerical experiments indicate that our algorithms are easy to implement on the existing packages, and can be used to solve the transmission eigenvalue problem with local low smooth eigenfunctions efficiently.

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Yidu Yang

Guizhou Normal University

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Yu Zhang

Guizhou Normal University

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Hao Li

Guizhou Normal University

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Jiayu Han

Guizhou Normal University

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Lingling Sun

Guizhou Normal University

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Shixi Wang

Guizhou Normal University

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Wenjun Wang

Guizhou Normal University

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