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A Meshless Local Petrov-Galerkin Shepard and Least-Squares Method Based on Duo Nodal Supports

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  • Xiaoying Zhuang
  • Yongchang Cai

Abstract

The meshless Shepard and least-squares (MSLS) interpolation is a newly developed partition of unity- (PU-) based method which removes the difficulties with many other meshless methods such as the lack of the Kronecker delta property. The MSLS interpolation is efficient to compute and retain compatibility for any basis function used. In this paper, we extend the MSLS interpolation to the local Petrov-Galerkin weak form and adopt the duo nodal support domain. In the new formulation, there is no need for employing singular weight functions as is required in the original MSLS and also no need for background mesh for integration. Numerical examples demonstrate the effectiveness and robustness of the present method.

Suggested Citation

  • Xiaoying Zhuang & Yongchang Cai, 2014. "A Meshless Local Petrov-Galerkin Shepard and Least-Squares Method Based on Duo Nodal Supports," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-11, January.
    • Handle: RePEc:hin:jnlmpe:806142
    DOI: 10.1155/2014/806142
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