## Abstract

This study proposes modified essentially nonoscillatory (ENO) schemes that can improve the performance of the classical ENO schemes. The key ideas of our approach consist of the following two approaches. First, the interpolation method is implemented by using exponential polynomials with shape (or tension) parameters such that they can be tuned to the characteristics of given data, yielding better approximation than the classical ENO schemes at the same computational cost. Second, we present a new smoothness measurement that can evaluate the local smoothness of a function inside a stencil such that it enables the identification of the smoothest one, while avoiding the inclusion of discontinuous points in the stencil. Some numerical experiments are provided to demonstrate the performance of the proposed schemes.

Original language | English |
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Pages (from-to) | 864-893 |

Number of pages | 30 |

Journal | SIAM Journal on Numerical Analysis |

Volume | 51 |

Issue number | 2 |

DOIs | |

State | Published - 2013 |

## Keywords

- Approximation order
- ENO scheme
- Exponential polynomials
- Flux function
- Hyperbolic conservation laws
- Interpolation