TECHNICAL NOTE

Efficient Sparse-Grid Implementation of a Fifth-Order Multi-resolution WENO Scheme for Hyperbolic Equations

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  • Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN 46556, USA

Received date: 2021-10-31

  Revised date: 2022-06-03

  Online published: 2023-12-16

Supported by

Research was partially supported by NSF Grant DMS-1620108.

Abstract

High-order accurate weighted essentially non-oscillatory (WENO) schemes are a class of broadly applied numerical methods for solving hyperbolic partial differential equations (PDEs). Due to highly nonlinear property of the WENO algorithm, large amount of computational costs are required for solving multidimensional problems. In our previous work (Lu et al. in Pure Appl Math Q 14: 57–86, 2018; Zhu and Zhang in J Sci Comput 87: 44, 2021), sparse-grid techniques were applied to the classical finite difference WENO schemes in solving multidimensional hyperbolic equations, and it was shown that significant CPU times were saved, while both accuracy and stability of the classical WENO schemes were maintained for computations on sparse grids. In this technical note, we apply the approach to recently developed finite difference multi-resolution WENO scheme specifically the fifth-order scheme, which has very interesting properties such as its simplicity in linear weights’ construction over a classical WENO scheme. Numerical experiments on solving high dimensional hyperbolic equations including Vlasov based kinetic problems are performed to demonstrate that the sparse-grid computations achieve large savings of CPU times, and at the same time preserve comparable accuracy and resolution with those on corresponding regular single grids.

Cite this article

Ernie Tsybulnik, Xiaozhi Zhu, Yong-Tao Zhang . Efficient Sparse-Grid Implementation of a Fifth-Order Multi-resolution WENO Scheme for Hyperbolic Equations[J]. Communications on Applied Mathematics and Computation, 2023 , 5(4) : 1339 -1364 . DOI: 10.1007/s42967-022-00202-4

References

1. Alves, M.A., Cruz, P., Mendes, A., Magalhães, F.D., Pinho, F.T., Oliveira, P.J.: Adaptive multiresolution approach for solution of hyperbolic PDEs. Comput. Methods Appl. Mech. Eng. 191, 3909-3928 (2002)
2. Bungartz, H.-J., Griebel, M.: Sparse grids. Acta Numerica 13, 147-269 (2004)
3. Capdeville, G.: A central WENO scheme for solving hyperbolic conservation laws on non-uniform meshes. J. Comput. Phys. 227, 2977-3014 (2008)
4. Carrillo, J.A., Gamba, I.M., Majorana, A., Shu, C.-W.: A WENO-solver for the transients of Boltzmann-Poisson system for semiconductor devices: performance and comparisons with Monte Carlo methods. J. Comput. Phys. 184, 498-525 (2003)
5. Castro, M., Costa, B., Don, W.S.: High order weighted essentially non-oscillatory WENO-Z schemes for hyperbolic conservation laws. J. Comput. Phys. 230, 1766-1792 (2011)
6. Don, W.-S., Borges, R.: Accuracy of the weighted essentially non-oscillatory conservative finite difference schemes. J. Comput. Phys. 250, 347-372 (2013)
7. Dumbser, M., Käser, M., Titarev, V.A., Toro, E.F.: Quadrature-free non-oscillatory finite volume schemes on unstructured meshes for nonlinear hyperbolic systems. J. Comput. Phys. 226, 204-243 (2007)
8. Gottlieb, S., Shu, C.-W., Tadmor, E.: Strong stability-preserving high-order time discretization methods. SIAM Rev. 43, 89-112 (2001)
9. Griebel, M., Schneider, M., Zenger, C.: A combination technique for the solution of sparse grid problems. In: Beauwens, R., de Groen, P. (eds) Iterative Methods in Linear Algebra, pp. 263-281. NorthHolland, Amsterdam (1992)
10. Guo, W., Cheng, Y.: A sparse grid discontinuous Galerkin method for high-dimensional transport equations and its application to kinetic simulations. SIAM J. Sci. Comput. 38, A3381-A3409 (2016)
11. Guo, W., Cheng, Y.: An adaptive multiresolution discontinuous Galerkin method for time-dependent transport equations in multidimensions. SIAM J. Sci. Comput. 39, A2962-A2992 (2017)
12. Henrick, A., Aslam, T., Powers, J.: Mapped weighted essentially non-oscillatory schemes: achieving optimal order near critical points. J. Comput. Phys. 207, 542-567 (2005)
13. Jiang, G.-S., Shu, C.-W.: Efficient implementation of weighted ENO schemes. J. Comput. Phys. 126, 202-228 (1996)
14. Kolb, O.: A third order hierarchical basis WENO interpolation for sparse grids with application to conservation laws with uncertain data. J. Sci. Comput. 74, 1480-1503 (2018)
15. Lastdrager, B., Koren, B., Verwer, J.: Solution of time-dependent advection-diffusion problems with the sparse-grid combination technique and a rosenbrock solver. Comput. Methods Appl. Math. 1, 86-99 (2001)
16. Lastdrager, B., Koren, B., Verwer, J.: The sparse-grid combination technique applied to time-dependent advection problems. Appl. Numer. Math. 38, 377-401 (2001)
17. Levy, D., Puppo, G., Russo, G.: Central WENO schemes for hyperbolic systems of conservation laws. Math. Model. Numer. Anal. 33, 547-571 (1999)
18. Li, L., Zhu, J., Zhang, Y.-T.: Absolutely convergent fixed-point fast sweeping WENO methods for steady state of hyperbolic conservation laws. J. Comput. Phys. 443, 110516 (2021)
19. Liu, X.-D., Osher, S., Chan, T.: Weighted essentially non-oscillatory schemes. J. Comput. Phys. 115, 200-212 (1994)
20. Liu, Y., Cheng, Y., Shu, C.-W.: A simple bound-preserving sweeping technique for conservative numerical approximations. J. Sci. Comput. 73, 1028-1071 (2017)
21. Liu, Y., Zhang, Y.-T.: A robust reconstruction for unstructured WENO schemes. J. Sci. Comput. 54, 603-621 (2013)
22. Lu, D., Chen, S., Zhang, Y.-T.: Third order WENO scheme on sparse grids for hyperbolic equations. Pure Appl. Math. Q. 14, 57-86 (2018)
23. Lu, D., Zhang, Y.-T.: Krylov integration factor method on sparse grids for high spatial dimension convection-diffusion equations. J. Sci. Comput. 69, 736-763 (2016)
24. Qiu, J.-M., Christlieb, A.: A conservative high order semi-Lagrangian WENO method for the Vlasov equation. J. Comput. Phys. 229, 1130-1149 (2010)
25. Shu, C.-W.: Essentially non-oscillatory and weighted essentially non-oscillatory schemes for hyperbolic conservation laws. In: Cockburn, B., Johnson, C., Shu, C.-W., Tadmor, E.(eds) Advanced Numerical Approximation of Nonlinear Hyperbolic Equations. Lecture Notes in Mathematics, Volume 1697. Springer (1998)
26. Tao, Z., Guo, W., Cheng, Y.: Sparse grid discontinuous Galerkin methods for the Vlasov-Maxwell system. J. Comput. Phys. X 3, 100022 (2019)
27. Yamaleev, N., Carpenter, M.: A systematic methodology for constructing high-order energy stable WENO schemes. J. Comput. Phys. 228, 4248-4272 (2009)
28. Zenger, C.: Sparse grids. In: Hackbusch, W. (ed) Notes on Numerical Fluid Mechanics, vol. 31, pp. 241-251. Vieweg, Braunschweig (1991)
29. Zhang, S., Jiang, S., Zhang, Y.-T., Shu, C.-W.: The mechanism of sound generation in the interaction between a shock wave and two counter rotating vortices. Phys. Fluids 21, 076101 (2009)
30. Zhang, Y.-T., Shu, C.-W.: High order WENO schemes for Hamilton-Jacobi equations on triangular meshes. SIAM J. Sci. Comput. 24, 1005-1030 (2003)
31. Zhang, Y.-T., Shu, C.-W.: Third order WENO scheme on three dimensional tetrahedral meshes. Commun. Comput. Phys. 5, 836-848 (2009)
32. Zhang, Y.-T., Shu, C.-W., Zhou, Y.: Effects of shock waves on Rayleigh-Taylor instability. Phys. Plasmas 13, 062705 (2006)
33. Zhu, J., Qiu, J.: A new fifth order finite difference WENO scheme for solving hyperbolic conservation laws. J. Comput. Phys. 318, 110-121 (2016)
34. Zhu, J., Shu, C.-W.: A new type of multi-resolution WENO schemes with increasingly higher order of accuracy. J. Comput. Phys. 375, 659-683 (2018)
35. Zhu, J., Shu, C.-W.: A new type of third-order finite volume multi-resolution WENO schemes on tetrahedral meshes. J. Comput. Phys. 406, 109212 (2020)
36. Zhu, J., Shu, C.-W.: Convergence to steady-state solutions of the new type of high-order multi-resolution WENO schemes: a numerical study. Commun. Appl. Math. Comput. 2, 429-460 (2020)
37. Zhu, X., Zhang, Y.-T.: Fast sparse grid simulations of fifth order WENO scheme for high dimensional hyperbolic PDEs. J. Sci. Comput. 87, 44 (2021)
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