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Volume 20, Issue 1
Chebyshev Spectral-Finite Element Method for Two-Dimensional Unsteady Navier-Stokes Equation

Ben-Yu Guo, Song-Nian He & He-Ping Ma

J. Comp. Math., 20 (2002), pp. 65-78.

Published online: 2002-02

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  • Abstract

A mixed Chebyshev spectral-finite element method is proposed for solving two-dimensional unsteady Navier-Stokes equation. The generalized stability and convergence are proved. The numerical results show the advantages of this method.

  • Keywords

Navier-Stokes equation, Chebyshev spectral-finite element method.

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COPYRIGHT: © Global Science Press

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@Article{JCM-20-65, author = {Guo , Ben-YuHe , Song-Nian and Ma , He-Ping}, title = {Chebyshev Spectral-Finite Element Method for Two-Dimensional Unsteady Navier-Stokes Equation}, journal = {Journal of Computational Mathematics}, year = {2002}, volume = {20}, number = {1}, pages = {65--78}, abstract = {

A mixed Chebyshev spectral-finite element method is proposed for solving two-dimensional unsteady Navier-Stokes equation. The generalized stability and convergence are proved. The numerical results show the advantages of this method.

}, issn = {1991-7139}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jcm/8899.html} }
TY - JOUR T1 - Chebyshev Spectral-Finite Element Method for Two-Dimensional Unsteady Navier-Stokes Equation AU - Guo , Ben-Yu AU - He , Song-Nian AU - Ma , He-Ping JO - Journal of Computational Mathematics VL - 1 SP - 65 EP - 78 PY - 2002 DA - 2002/02 SN - 20 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jcm/8899.html KW - Navier-Stokes equation, Chebyshev spectral-finite element method. AB -

A mixed Chebyshev spectral-finite element method is proposed for solving two-dimensional unsteady Navier-Stokes equation. The generalized stability and convergence are proved. The numerical results show the advantages of this method.

Guo , Ben-YuHe , Song-Nian and Ma , He-Ping. (2002). Chebyshev Spectral-Finite Element Method for Two-Dimensional Unsteady Navier-Stokes Equation. Journal of Computational Mathematics. 20 (1). 65-78. doi:
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