分数时空扩散方程与分数边界条件的反向问题.
Rafał Brociek1,2, Agata Wajda3, Christian Napoli4,5
1Department of Artificial Intelligence Modelling, Faculty of Applied Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland.
Entropy (Basel, Switzerland)
|January 28, 2026
概括
本研究介绍了小数微分方程的新算法,有效地解决直接和反向问题. 它通过在分数边界条件下识别未知函数来建模异常扩散.
科学领域:
- 应用数学 应用数学 应用数学
- 计算科学 计算科学
- 物理 物理学 物理
背景情况:
- 分数微分方程模型复杂的现象,如异常扩散.
- 解决涉及这些方程的反向问题是具有挑战性的.
研究的目的:
- 开发和介绍一个算法来解决分数微分方程的直接和反向问题.
- 使用微积分计算建模异常扩散,并在边界条件下识别未知参数.
主要方法:
- 使用卡普托导数用于时间和里曼-利乌维尔导数用于空间分数导数.
- 对直接问题实施了差异化方案.
- 在反向问题上使用集体教学优化算法 (GTOA).
主要成果:
- 成功地解决了分数模型的直接和反向问题.
- 在分数边界条件内确定了一个未知函数.
- 数字示例验证了拟议方法的有效性.
结论:
- 拟议的算法是模拟异常扩散的有效工具.
- 该方法为解决分数微分方程及其反面问题提供了一个强大的方法.
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