在非线性分数二次方程微分方程中使用扰乱序列技术进行趋同分析的比较框架
1Mathematics Department, Faculty of Computer Science and Mathematics, University of Thi-Qar, Thi-Qar, Iraq.
PloS one
|December 29, 2025
概括
本研究介绍了一种同位素方法,用于准确的非线性分数微分方程的近似解决方案. 调整收参数可以提高精度,特别是在长内存模型中.
科学领域:
- 应用数学 应用数学 应用数学
- 数字分析 数字分析
- 分数微积分的计算.
背景情况:
- 非线性微分方程 (NFDE) 在建模复杂系统中至关重要,但往往缺乏精确的分析解决方案.
- 现有的数值方法可能会在NFDE的准确性和趋同方面扎,特别是那些具有长期记忆特征的NFDE.
研究的目的:
- 开发一个统一的扰动框架,以获得NFDE的高度准确的近似解决方案.
- 调查收控制参数对拟议方法的精度的影响.
- 为了证明该方法对具有长期记忆行为的分数顺序模型的有效性.
主要方法:
- 一个统一的扰动框架是基于同位素拓理论提出的.
- 同位体法允许通过调整度控制参数的数量来进行多种配方.
- 使用这些参数的动态调整来提高解决方案的准确性.
主要成果:
- 同位体法证明了显著提高准确性,并增加了收参数的数量.
- 由图表和表格支持的数值结果验证了增强的精度.
- 该方法对表现出长期记忆行为的分数顺序模型表现出特别高的有效性.
结论:
- 拟议的同位体方法为解决NFDE提供了一种灵活,强大和可靠的方法.
- 能够动态调整收参数的能力为控制解决方案准确性提供了一个强大的工具.
- 这个框架推进了复杂的分数微分方程的数值处理.
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