Energy-norm and balanced-norm supercloseness error analysis of a finite volume method on Shishkin meshes for singularly perturbed reaction–diffusion problems
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Algebra and Number Theory
Link
https://link.springer.com/content/pdf/10.1007/s10092-023-00535-3.pdf
Reference21 articles.
1. Cao, W., Zhang, Z., Zou, Q.: Finite volume superconvergence approximation for one-dimensional singularly perturbed problems. J. Comput. Math. 31(5), 488–508 (2013). https://doi.org/10.4208/jcm.1304-m4280
2. Eymard, R., Gallouët, T., Herbin, R.: Finite volume methods. In: Ciarlet, P.G., Lions, J.L. (eds.) Handbook of numerical analysis, Handb. Numer. Anal., vol. VII, pp 713–1020. North-Holland, Amsterdam (2000). https://doi.org/10.1016/S1570-8659(00)07005-8
3. Farrell, P.A., Hegarty, A.F., Miller, J.J.H., O’Riordan, E., Shishkin, G.I.: Robust Computational Techniques for Boundary Layers, Applied Mathematics (Boca Raton), vol. 16. Chapman & Hall/CRC, Boca Raton (2000)
4. Heuer, N., Karkulik, M.: A robust DPG method for singularly perturbed reaction–diffusion problems. SIAM J. Numer. Anal. 55(3), 1218–1242 (2017). https://doi.org/10.1137/15M1041304
5. Li, R., Chen, Z., Wu, W.: Generalized Difference Methods for Differential Equations, Monographs and Textbooks in Pure and Applied Mathematics, vol. 226. Marcel Dekker Inc, New York (2000). (Numerical analysis of finite volume methods)
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1. Optimal Balanced-Norm Error Estimate of the LDG Method for Reaction–Diffusion Problems I: The One-Dimensional Case;Journal of Scientific Computing;2024-07-02
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