首页|具Robin条件的高维扩散方程反问题正则化算法

具Robin条件的高维扩散方程反问题正则化算法

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初始热场和热源同时识别问题是一类热传导方程反问题。通过两个固定时刻的温度测量数据同时反演初始温度和热源项,提出了改进的正则化方法,获得了稳定化算法,给出了正则化参数的选取策略及正则化解的误差估计,对带噪声干扰的测量数据进行预处理以提高数据精度。数值算例验证了算法的有效性。
Regularization Algorithms for Inverse Problems of High-dimensional Diffusion Equations with Robin Boundary Conditions
The simultaneous identification of the initial heat field and the heat source is a class of inverse prob-lems in heat conduction equations.By utilizing temperature measurements at two fixed moments,an improved regularization method is proposed to stably determine both the initial temperature and heat source terms.A sta-bilization algorithm is thus obtained.Strategies for selecting regularization parameters and error estimates for the regularization solutions are provided.Additionally,pre-processing is performed on the measurement data with noise interference to improve accuracy.Numerical experiments verify the effectiveness of the algorithm.

high-dimensional heat conduction equationsRobin boundary conditionsimproved regularization methodsdata pre-processingerror estimation

郭琴、徐定华

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浙江理工大学 理学院,浙江 杭州 310018

高维热传导方程 Robin边界条件 改进正则化方法 数据预处理 误差估计

国家自然科学基金资助项目国家自然科学基金资助项目

1237142811871435

2024

宁夏大学学报(自然科学版)
宁夏大学

宁夏大学学报(自然科学版)

CSTPCD
影响因子:0.377
ISSN:0253-2328
年,卷(期):2024.45(2)