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一种迭代正则化方法求解一类同时带有两个扰动数据的反向问题

袁小雨 冯晓莉 张云

袁小雨, 冯晓莉, 张云. 一种迭代正则化方法求解一类同时带有两个扰动数据的反向问题[J]. 应用数学和力学, 2023, 44(10): 1260-1271. doi: 10.21656/1000-0887.440066
引用本文: 袁小雨, 冯晓莉, 张云. 一种迭代正则化方法求解一类同时带有两个扰动数据的反向问题[J]. 应用数学和力学, 2023, 44(10): 1260-1271. doi: 10.21656/1000-0887.440066
YUAN Xiaoyu, FENG Xiaoli, ZHANG Yun. An Iterative Regularization Method for Solving Backward Problems With 2 Perturbation Data[J]. Applied Mathematics and Mechanics, 2023, 44(10): 1260-1271. doi: 10.21656/1000-0887.440066
Citation: YUAN Xiaoyu, FENG Xiaoli, ZHANG Yun. An Iterative Regularization Method for Solving Backward Problems With 2 Perturbation Data[J]. Applied Mathematics and Mechanics, 2023, 44(10): 1260-1271. doi: 10.21656/1000-0887.440066

一种迭代正则化方法求解一类同时带有两个扰动数据的反向问题

doi: 10.21656/1000-0887.440066
基金项目: 

国家自然科学基金项目 61877046

陕西省自然科学基础研究计划项目 2023-JC-YB-054

中央高校基本科研业务费 XJS220702

详细信息
    作者简介:

    袁小雨(1998—), 女, 硕士(E-mail: xiaoyuyuan@stu.xidian.edu.cn)

    张云(1991—), 男, 博士(E-mail: zhangyun@xidian.edu.cn)

    通讯作者:

    冯晓莉(1981—), 女, 博士(通讯作者. E-mail: xiaolifeng@xidian.edu.cn)

  • 中图分类号: O175.26

An Iterative Regularization Method for Solving Backward Problems With 2 Perturbation Data

  • 摘要: 该文考虑了一类带有扰动扩散系数和扰动终值数据的空间分数阶扩散方程反向问题,从终值时刻的测量数据来反演初始时刻数据. 该问题是严重不适定的,因此该文提出了一种迭代正则化方法来处理该反向问题,并利用先验正则化参数选取规则得到了正则化解和精确解之间的误差估计,最后进行了一些数值模拟,验证了方法的有效性.
  • 图  1  精确解和在不同误差水平下的正则化解

    Figure  1.  Exact solutions and regularized solutions with different noise levels

    图  2  不同时刻下的精确解和正则化解

    Figure  2.  Comparison of exact solutions and regularized solutions at different moments

    表  1  不同误差水平下u(x, t)的相对误差和绝对误差(α=0.6)

    Table  1.   Relative and absolute errors corresponding to different noise levels(α=0.6)

    t ε1=10-1 ε2=0 ε1=0 ε2=10-1 ε1=10-1 ε2=10-1
    ea(t) er(t) ea(t) er(t) ea(t) er(t)
    0.9 0.017 0 0.032 5 0.023 8 0.045 4 0.024 8 0.047 4
    0.5 0.076 9 0.062 8 0.074 3 0.068 8 0.093 5 0.076 4
    0.3 0.114 0 0.087 3 0.109 8 0.084 6 0.137 3 0.096 0
    t ε1=10-2 ε2=0 ε1=0 ε2=10-2 ε1=10-2 ε2=10-2
    ea(t) er(t) ea(t) er(t) ea(t) er(t)
    0.9 0.007 5 0.014 3 0.007 3 0.014 0 0.007 8 0.015 0
    0.5 0.041 6 0.034 0 0.035 5 0.029 0 0.044 8 0.036 6
    0.3 0.078 9 0.051 4 0.068 7 0.044 7 0.083 1 0.054 2
    下载: 导出CSV

    表  2  t=0.9时刻下β, ε与迭代步数k之间的关系

    Table  2.   Relationships between β, ε and iterative step number k at time t=0.9

    β=0.1 β=0.5 β=1
    k(ε=10-1) 68 15 7
    k(ε=10-2) 418 126 18
    k(ε=10-3) 549 193 56
    下载: 导出CSV

    表  3  Tikhonov正则化方法(TRM)和迭代正则化方法(IRM)下u(x, t)的相对误差和绝对误差(α=0.6)

    Table  3.   Relative and absolute errors of u(x, t) under the TRM and IRM(α=0.6)

    t=0.8 t=0.5 t=0.3
    ε2=10-1 ε1=10-2 ε2=10-1 ε1=10-2 ε2=10-1 ε1=10-2
    TRM ea(t) 0.079 6 0.018 5 0.097 2 0.028 8 0.260 9 0.048 0
    er(t) 0.108 4 0.025 1 0.115 8 0.027 3 0.168 9 0.031 0
    IRM ea(t) 0.033 0 0.003 4 0.060 9 0.011 6 0.137 3 0.060 4
    er(t) 0.045 3 0.004 6 0.049 7 0.009 1 0.096 0 0.035 7
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-03-14
  • 修回日期:  2023-05-05
  • 刊出日期:  2023-10-31

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