Exponential approximation space reconstruction WENO scheme for dispersive PDEs
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arXiv
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866917662356930560 |
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| author | Salian, Lavanya V Rathan, Samala |
| author_facet | Salian, Lavanya V Rathan, Samala |
| contents | In this work, we construct a fifth-order weighted essentially non-oscillatory (WENO) scheme with exponential approximation space for solving dispersive equations. A conservative third-order derivative formulation is developed directly using WENO spatial reconstruction procedure and third-order TVD Runge- Kutta scheme is used for the evaluation of time derivative. This exponential approximation space consists a tension parameter that may be optimized to fit the specific feature of the charecteristic data, yielding better results without spurious oscillations compared to the polynomial approximation space. A detailed formulation is presented for the the construction of conservative flux approximation, smoothness indicators, nonlinear weights and verified that the proposed scheme provides the required fifth convergence order. One and two-dimensional numerical examples are presented to support the theoretical claims. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2309_09926 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Exponential approximation space reconstruction WENO scheme for dispersive PDEs Salian, Lavanya V Rathan, Samala Numerical Analysis 41A10, 65M06 In this work, we construct a fifth-order weighted essentially non-oscillatory (WENO) scheme with exponential approximation space for solving dispersive equations. A conservative third-order derivative formulation is developed directly using WENO spatial reconstruction procedure and third-order TVD Runge- Kutta scheme is used for the evaluation of time derivative. This exponential approximation space consists a tension parameter that may be optimized to fit the specific feature of the charecteristic data, yielding better results without spurious oscillations compared to the polynomial approximation space. A detailed formulation is presented for the the construction of conservative flux approximation, smoothness indicators, nonlinear weights and verified that the proposed scheme provides the required fifth convergence order. One and two-dimensional numerical examples are presented to support the theoretical claims. |
| title | Exponential approximation space reconstruction WENO scheme for dispersive PDEs |
| topic | Numerical Analysis 41A10, 65M06 |
| url | https://arxiv.org/abs/2309.09926 |