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Volume 35, Issue 1
Hermite WENO Schemes with Strong Stability Preserving Multi-Step Temporal Discretization Methods for Conservation Laws

Xiaofeng Cai, Jun Zhu & Jianxian Qiu

J. Comp. Math., 35 (2017), pp. 52-73.

Published online: 2017-02

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  • Abstract

Based on the work of Shu [SIAM J. Sci. Stat. Comput, 9 (1988), pp.1073-1084], we construct a class of high order multi-step temporal discretization procedure for finite volume Hermite weighted essential non-oscillatory (HWENO) methods to solve hyperbolic conservation laws. The key feature of the multi-step temporal discretization procedure is to use variable time step with strong stability preserving (SSP). The multi-step temporal discretization methods can make full use of computed information with HWENO spatial discretization by holding the former computational values. Extensive numerical experiments are presented to demonstrate that the finite volume HWENO schemes with multi-step discretization can achieve high order accuracy and maintain non-oscillatory properties near discontinuous region of the solution.

  • AMS Subject Headings

65M06.

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address

xfcai89@126.com (Xiaofeng Cai)

zhujun@nuaa.edu.cn (Jun Zhu)

jxqiu@xmu.edu.cn (Jianxian Qiu)

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@Article{JCM-35-52, author = {Cai , XiaofengZhu , Jun and Qiu , Jianxian}, title = {Hermite WENO Schemes with Strong Stability Preserving Multi-Step Temporal Discretization Methods for Conservation Laws}, journal = {Journal of Computational Mathematics}, year = {2017}, volume = {35}, number = {1}, pages = {52--73}, abstract = {

Based on the work of Shu [SIAM J. Sci. Stat. Comput, 9 (1988), pp.1073-1084], we construct a class of high order multi-step temporal discretization procedure for finite volume Hermite weighted essential non-oscillatory (HWENO) methods to solve hyperbolic conservation laws. The key feature of the multi-step temporal discretization procedure is to use variable time step with strong stability preserving (SSP). The multi-step temporal discretization methods can make full use of computed information with HWENO spatial discretization by holding the former computational values. Extensive numerical experiments are presented to demonstrate that the finite volume HWENO schemes with multi-step discretization can achieve high order accuracy and maintain non-oscillatory properties near discontinuous region of the solution.

}, issn = {1991-7139}, doi = {https://doi.org/10.4208/jcm.1609-m2014-0069}, url = {http://global-sci.org/intro/article_detail/jcm/9763.html} }
TY - JOUR T1 - Hermite WENO Schemes with Strong Stability Preserving Multi-Step Temporal Discretization Methods for Conservation Laws AU - Cai , Xiaofeng AU - Zhu , Jun AU - Qiu , Jianxian JO - Journal of Computational Mathematics VL - 1 SP - 52 EP - 73 PY - 2017 DA - 2017/02 SN - 35 DO - http://doi.org/10.4208/jcm.1609-m2014-0069 UR - https://global-sci.org/intro/article_detail/jcm/9763.html KW - Multi-step temporal discretization, Hermite weighted essentially non-oscillatory scheme, Uniformly high order accuracy, Strong stability preserving, Finite volume scheme. AB -

Based on the work of Shu [SIAM J. Sci. Stat. Comput, 9 (1988), pp.1073-1084], we construct a class of high order multi-step temporal discretization procedure for finite volume Hermite weighted essential non-oscillatory (HWENO) methods to solve hyperbolic conservation laws. The key feature of the multi-step temporal discretization procedure is to use variable time step with strong stability preserving (SSP). The multi-step temporal discretization methods can make full use of computed information with HWENO spatial discretization by holding the former computational values. Extensive numerical experiments are presented to demonstrate that the finite volume HWENO schemes with multi-step discretization can achieve high order accuracy and maintain non-oscillatory properties near discontinuous region of the solution.

Xiaofeng Cai, Jun Zhu & Jianxian Qiu. (2020). Hermite WENO Schemes with Strong Stability Preserving Multi-Step Temporal Discretization Methods for Conservation Laws. Journal of Computational Mathematics. 35 (1). 52-73. doi:10.4208/jcm.1609-m2014-0069
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