Preprint 2018-37
Antonio Baeza, Raimund Bürger, Pep Mulet, David Zorío:
On the efficient computation of smoothness indicators for a class of WENO reconstructions
Abstract:
Common smoothness indicators used in Weighted Essentially Non-Oscillatory (WENO) reconstructions [Jiang, G.S., Shu, C.W.: Efficient implementation of Weighted ENO schemes, J. Comput. Phys. 126, 202–228 (1996)] have quadratic cost with respect to the order. A set of novel smoothness indicators with linear cost of computation with respect to the order is presented. These smoothness indicators can be used in the context of schemes of the type introduced by Yamaleev and Carpenter [Yamaleev, N.K., Carpenter, M.H.: A systematic methodology to for constructing high-order energy stable WENO schemes. J. Comput. Phys. 228(11), 4248–4272 (2009)]. The accuracy properties of the resulting nonlinear weights are the same as those arising from using the traditional Jiang-Shu smoothness indicators in Yamaleev-Carpenter-type reconstructions. The increase of the efficiency and ease of implementation are shown.
This preprint gave rise to the following definitive publication(s):
Antonio BAEZA, Raimund BüRGER, Pep MULET, David ZORíO: On the efficient computation of smoothness indicators for a class of WENO reconstructions. Journal of Scientific Computing, vol. 80, 2, pp. 1240-1263, (2019).