Highly efficient exponential scalar auxiliary variable approaches with relaxation (RE-SAV) for gradient flows
Abstract
For the past few years, scalar auxiliary variable (SAV) and SAV-type approaches became very hot and efficient methods to simulate various gradient flows. Inspired by the new SAV approach in \cite{huang2020highly}, we propose a novel technique to construct a new exponential scalar auxiliary variable (E-SAV) approach to construct high-order numerical energy stable schemes for gradient flows. To improve its accuracy and consistency noticeably, we propose an E-SAV approach with relaxation, which we named the relaxed E-SAV (RE-SAV) method for gradient flows. The RE-SAV approach preserves all the advantages of the traditional SAV approach. In addition, we do not need any the bounded-from-below assumptions for the free energy potential or nonlinear term. Besides, the first-order, second-order and higher-order unconditionally energy stable time-stepping schemes are easy to construct. Several numerical examples are provided to demonstrate the improved efficiency and accuracy of the proposed method.
Cite
@article{arxiv.2204.06258,
title = {Highly efficient exponential scalar auxiliary variable approaches with relaxation (RE-SAV) for gradient flows},
author = {Zhengguang Liu and Xiaoli Li},
journal= {arXiv preprint arXiv:2204.06258},
year = {2022}
}
Comments
arXiv admin note: substantial text overlap with arXiv:2010.11728, arXiv:2001.00812