Communications on Applied Mathematics and Computation ›› 2023, Vol. 5 ›› Issue (2): 776-852.doi: 10.1007/s42967-021-00147-0

Previous Articles     Next Articles

AENO: a Novel Reconstruction Method in Conjunction with ADER Schemes for Hyperbolic Equations

Eleuterio F. Toro1, Andrea Santacá2, Gino I. Montecinos3, Morena Celant2, Lucas O. Müller2   

  1. 1 Laboratory of Applied Mathematics, DICAM, University of Trento, Trento, Italy;
    2 Department of Mathematics, University of Trento, Trento, Italy;
    3 Department of Natural Sciences and Technology, Universidad de Aysén, Obispo Vielmo 62, Coyhaique, Chile
  • Received:2020-11-30 Revised:2021-05-31 Online:2023-06-20 Published:2023-05-26
  • Contact: Lucas O. Müller, lucas.muller@unitn.it;Eleuterio F. Toro, eleuterio.toro@unitn.it E-mail:lucas.muller@unitn.it;eleuterio.toro@unitn.it

Abstract: In this paper, we present a novel spatial reconstruction scheme, called AENO, that results from a special averaging of the ENO polynomial and its closest neighbour, while retaining the stencil direction decided by the ENO choice. A variant of the scheme, called m-AENO, results from averaging the modified ENO (m-ENO) polynomial and its closest neighbour. The concept is thoroughly assessed for the one-dimensional linear advection equation and for a one-dimensional non-linear hyperbolic system, in conjunction with the fully discrete, high-order ADER approach implemented up to fifth order of accuracy in both space and time. The results, as compared to the conventional ENO, m-ENO and WENO schemes, are very encouraging. Surprisingly, our results show that the L1-errors of the novel AENO approach are the smallest for most cases considered. Crucially, for a chosen error size, AENO turns out to be the most efficient method of all five methods tested.

Key words: Hyperbolic equations, High-order ADER, ENO/m-ENO/WENO, Novel reconstruction technique AENO/m-AENO

CLC Number: