Junping Wang
University of Wyoming
7 Papers
36 Citations
Junping Wang is an academic researcher from University of Wyoming. The author has contributed to research in topics: Finite element method & Mixed finite element method. The author has an hindex of 6, co-authored 7 publications.
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Papers
On the simulation of multicomponent gas flow in porous media
TL;DR: In this paper, the mixed finite element method over quadrilaterals was used as a solver to the non-Darcy flow equation, and a conservative Godunov-type scheme for the mass balance equations.
25
An Interior Estimate of Superconvergence for Finite Element Solutions for Second-Order Elliptic Problems on Quasi-uniform Meshes by Local Projections
Hongsen Chen,Junping Wang +1 more
TL;DR: Some local superconvergence estimates in the L2 and $L^\infty$ norms are derived for the local projections of the Galerkin finite element solution and can be employed to provide useful a posteriori error estimators in practical computing.
16
A New Superconvergence for Mixed Finite Element Approximations
TL;DR: A new superconvergence result is established for numerical solutions of elliptic problems obtained from the mixed finite element method of Raviart--Thomas over rectangular partitions with improved accuracy of order ${\cal O}(h^{k+3})$ and an appropriately defined local projection of the flux variable when k>0.
13
•Book
Point-distributed algorithms on locally refined grids for second order elliptic equations
Richard E. Ewing,Jian Shen,Junping Wang +2 more
- 01 Jan 2001
TL;DR: In this article, a discretization scheme for second-order elliptic equations on rectangular domains with locally refined composite grids was proposed, which relates the mixed finite element method with cell-centered finite difference and finite volume element methods.
2
Superconvergence for the Gradient of Finite Element Approximations by L 2 Projections
TL;DR: It is proved that the recovered gradient has a high order of superconvergence for appropriately chosen surface fitting spaces and is robust, efficient, and applicable to a wide class of problems such as the Stokes and elasticity equations.