11 Papers
25 Citations
Fei Teng is an academic researcher from North China Electric Power University. The author has contributed to research in topics: Finite element method & Sobolev space. The author has an hindex of 6, co-authored 8 publications.
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Papers
A reduced-order extrapolated Crank–Nicolson finite spectral element method based on POD for the 2D non-stationary Boussinesq equations
Zhendong Luo,Fei Teng,Hong Xia +2 more
TL;DR: In this paper, the authors mainly utilize proper orthogonal decomposition (POD) to reduce the order for the coefficient vector of the classical Crank-Nicolson finite spectral element (CCNFSE) method of the two-dimensional (2D) non-stationary Boussinesq equations about vorticity-stream functions.
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A reduced-order extrapolation algorithm based on CNLSMFE formulation and POD technique for two-dimensional Sobolev equations
Qun Liu,Fei Teng,Zhendong Luo +2 more
TL;DR: In this article, a reduced-order extrapolation algorithm based on Crank-Nicolson least-squares mixed finite element (CNLSMFE) formulation and proper orthogonal decomposition (POD) technique for two-dimensional (2D) Sobolev equations is established.
18
An optimized SPDMFE extrapolation approach based on the POD technique for 2D viscoelastic wave equation
Zhendong Luo,Fei Teng +1 more
TL;DR: An optimized splitting positive definite mixed finite element (SPDMFE) extrapolation approach based on proper orthogonal decomposition (POD) technique is developed for the two-dimensional viscoelastic wave equation (2DVWE).
A reduced-order extrapolated natural boundary element method based on POD for the parabolic equation in the 2D unbounded domain
Fei Teng,Zhen Dong Luo,Jing Yang +2 more
TL;DR: In this paper, order reduction of natural boundary element (NBE) based on proper orthogonal decomposition (POD) for the parabolic equation in the two-dimensional (2D) unbounded domain is studied.
12
A POD-based reduced-order FD extrapolating algorithm for traffic flow
Zhendong Luo,Di Xie,Fei Teng +2 more
TL;DR: In this article, a traffic flow Lighthill, Whitham, and Richards (LWR) model is studied by means of a proper orthogonal decomposition (POD) technique.