Long Chen

  1. Convergence and Optimality of Adaptive Mixed Finite Element Methods.

    Authors: Michael Holst, Long Chen, Jinchao Xu
    Subjects: Numerical Analysis
    Abstract

    The convergence and optimality of adaptive mixed finite element methods for
    the Poisson equation are established in this paper. The main difficulty for
    mixed finite element methods is the lack of minimization principle and thus the
    failure of orthogonality. A quasi-orthogonality property is proved using the
    fact that the error is orthogonal to the divergence free subspace, while the
    part of the error that is not divergence free can be bounded by the data
    oscillation using a discrete stability result.

  2. The Finite Element Approximation of the Nonlinear Poisson-Boltzmann Equation.

    Authors: Michael Holst, Long Chen, Jinchao Xu
    Subjects: Numerical Analysis
    Abstract

    A widely used electrostatics model in the biomolecular modeling community,
    the nonlinear Poisson-Boltzmann equation, along with its finite element
    approximation, are analyzed in this paper. A regularized Poisson-Boltzmann
    equation is introduced as an auxiliary problem, making it possible to study the
    original nonlinear equation with delta distribution sources. A priori error
    estimates for the finite element approximation are obtained for the regularized
    Poisson-Boltzmann equation based on certain quasi-uniform grids in two and
    three dimensions.

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