时间分数反应-平流-扩散问题的非标准格式

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
Angelamaria Cardone, Gianluca Frasca-Caccia, Beatrice Paternoster
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引用次数: 0

摘要

本文研究了时间分数阶反应-平流-扩散问题的数值解。在实际应用中,一个重要的问题是保持解析解的定性性质,如正性,这是标准方法只能在小步长下实现的。本文引入了新的显式和隐式非标准有限差分方法,通过对不同时间水平上的近似中的不同项进行处理,使解在任何时候都不为负。对所提出的方案的稳定性和收敛性进行了严格的分析,提供了稳健的理论结果,说明了它们在产生精确逼近解的同时保持正性的有效性。最后,通过数值实验验证了该方法在不同基准问题上的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-standard schemes for time-fractional reaction–advection–diffusion problems
The present paper concerns the numerical solution of time-fractional reaction–advection–diffusion problems. In real applications, an important issue is the preservation of qualitative properties of the analytical solution, such as positivity, which standard methods achieve only for small stepsizes. Here, novel explicit and implicit non-standard finite difference methods are introduced, by treating different terms in the approximations on different time levels, in a way to keep the solution non-negative at all times. A rigorous analysis of the stability and convergence of the proposed schemes is provided, offering robust theoretical results that illustrate their effectiveness in preserving positivity while generating accurate approximations of the solution. Finally, some numerical experiments demonstrate the efficacy of the proposed methods on different benchmark problems.
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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