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A second-generation wavelet-based finite element method for the solution of partial differential equations
Authors:Youming Wang  Xuefeng Chen  Zhengjia He
Affiliation:1. School of Automation, Xi’an University of Posts and Telecommunications, Xi’an 710121, People’s Republic of China;2. State Key Laboratory for Manufacturing System Engineering, Xi’an Jiaotong University, Xi’an 710049, People’s Republic of China
Abstract:A new second-generation wavelet (SGW)-based finite element method is proposed for solving partial differential equations (PDEs). An important property of SGWs is that they can be custom designed by selecting appropriate lifting coefficients depending on the application. As a typical problem of SGW algorithm, the calculation of the connection coefficients is described, based on the equivalent filters of SGWs. The formulation of SGW-based finite element equations is derived and a multiscale lifting algorithm for the SGW-based finite element method is developed. Numerical examples demonstrate that the proposed method is an accurate and effective tool for the solution of PDEs, especially ones with singularities.
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