Third order WENO scheme on sparse grids for hyperbolic equations
Dong Lu, Shanqin Chen, Yong-Tao Zhang

TL;DR
This paper introduces a third order WENO scheme combined with sparse-grid techniques to efficiently solve high-dimensional hyperbolic PDEs, achieving high accuracy and stability with reduced computational cost.
Contribution
It develops a novel WENO method on sparse grids using a new interpolation approach, enabling efficient high-order accurate solutions for high-dimensional hyperbolic equations.
Findings
Significant reduction in computational time for high-dimensional problems.
Maintains high order accuracy and stability on sparse grids.
Effective handling of discontinuities with WENO interpolation.
Abstract
The weighted essentially non-oscillatory (WENO) schemes are a popular class of high order accurate numerical methods for solving hyperbolic partial differential equations (PDEs). The computational cost of such schemes increases significantly when the spatial dimensions of the PDEs are high, due to large number of spatial grid points and nonlinearity of high order accuracy WENO schemes. How to achieve fast computations by WENO methods for high spatial dimension PDEs is a challenging and important question. Recently, sparse-grid has become a major approximation tool for high dimensional problems. The open question is how to design WENO computations on sparse grids such that comparable high order accuracy of WENO schemes in smooth regions and essentially non-oscillatory stability in non-smooth regions of the solutions can still be achieved as that for computations on regular single grids?…
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
TopicsComputational Fluid Dynamics and Aerodynamics · Advanced Numerical Methods in Computational Mathematics · Numerical methods for differential equations
