High-order exponential time differencing multi-resolution alternative finite difference WENO methods for nonlinear degenerate parabolic equations
Ziyao Xu, Yong-Tao Zhang

TL;DR
This paper introduces a high-order multi-resolution A-WENO spatial discretization combined with exponential time differencing Runge-Kutta methods to efficiently solve nonlinear degenerate parabolic equations with sharp fronts, overcoming traditional CFL restrictions.
Contribution
It proposes a novel approach to approximate the Jacobian in exponential integrators by using a linear scheme's Jacobian, simplifying computations for high-order WENO discretizations.
Findings
Effective resolution of stiffness in nonlinear PDEs.
Large time-step computations achieved.
High accuracy demonstrated through numerical experiments.
Abstract
In this paper, we focus on the finite difference approximation of nonlinear degenerate parabolic equations, a special class of parabolic equations where the viscous term vanishes in certain regions. This vanishing gives rise to additional challenges in capturing sharp fronts, beyond the restrictive CFL conditions commonly encountered with explicit time discretization in parabolic equations. To resolve the sharp front, we adopt the high-order multi-resolution alternative finite difference WENO (A-WENO) methods for the spatial discretization. To alleviate the time step restriction from the nonlinear stiff diffusion terms, we employ the exponential time differencing Runge-Kutta (ETD-RK) methods, a class of efficient and accurate exponential integrators, for the time discretization. However, for highly nonlinear spatial discretizations such as high-order WENO schemes, it is a challenging…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDifferential Equations and Numerical Methods
