A weak Galerkin finite element method for second-order elliptic problems

By Junping Wang, Xiu Ye. Journal of Computational and Applied Mathematics, 2011

683 citations recorded by the source corpus.

This paper introduces a finite element method by using a weakly defined gradient operator over generalized functions. The use of weak gradients and their approximations results in a new concept called discrete weak gradients which is expected to play an important role in numerical methods for partial differential equations. This article intends to provide a general framework for managing differential operators on generalized functions. As a demonstrative example, the discrete weak gradient operator is employed as a building block in the design of numerical schemes for a second order elliptic problem, in which the classical gradient operator is replaced by the discrete weak gradient. The resulting numerical scheme is called a weak Galerkin (WG) finite element method. It can be seen that the weak Galerkin method allows the use of totally discontinuous functions in the finite element procedure. For the second order elliptic problem, an optimal order error estimate in both a discrete H^1 and L^2 norms are established for the corresponding weak Galerkin finite element solutions. A superconvergence is also observed for the weak Galerkin approximation.

Subfields: Computational Mechanics, Electrical and Electronic Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/ea4f1702d28c86b8af171a0cd90f8b7ca810b1b6

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In Computational Mechanics

  1. Xiaoping Xie
  2. Minfu Feng
  3. Gang Chen
  4. Junping Wang
  5. Xiu Ye
  6. Lin Mu
  7. Yanqi Wang
  8. Fang Wang

In Electrical and Electronic Engineering

  1. Xiu Ye
  2. Junping Wang
  3. Lin Mu
  4. Yanqi Wang
  5. Fang Wang
  6. Wenbin Chen
  7. Xiaoping Xie
  8. Minfu Feng

In Mechanics of Materials

  1. Junping Wang
  2. Xiu Ye
  3. Lin Mu
  4. Yanqi Wang
  5. Fang Wang
  6. Wenbin Chen
  7. Xiaoping Xie
  8. Minfu Feng

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