拟逆正则化方法结合离散随机扰动反演初值问题
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  • 英文篇名:Inversion of initial-value problem by means of quasi-reversibility regularization method combined with discrete random noise
  • 作者:杨帆 ; 张燕 ; 李晓晓
  • 英文作者:YANG Fan;ZHANG Yan;LI Xiao-xiao;School of Science,Lanzhou Univ.of Tech.;
  • 关键词:时间分数阶扩散方程 ; 反演初值 ; 拟逆正则化 ; 离散随机扰动
  • 英文关键词:Time-fractional diffusion equation;;initial-value inversion;;quasi-reverse regularization;;discrete random noise
  • 中文刊名:GSGY
  • 英文刊名:Journal of Lanzhou University of Technology
  • 机构:兰州理工大学理学院;
  • 出版日期:2019-06-15
  • 出版单位:兰州理工大学学报
  • 年:2019
  • 期:v.45;No.197
  • 基金:国家自然科学基金(11561045)
  • 语种:中文;
  • 页:GSGY201903027
  • 页数:6
  • CN:03
  • ISSN:62-1180/N
  • 分类号:159-164
摘要
利用离散随机扰动探讨时间分数阶扩散方程的反演初值问题,这类问题是不适定的,即问题的解(如果存在)不连续依赖于测量数据.利用拟逆正则化方法,得到问题的一个正则近似解,并且给出在先验正则化参数选取规则下的收敛性估计.数值结果表明拟逆正则化方法解决此类问题是有效和稳定的.
        The inversion of initial value problem of fractional diffusion equation is explored with discrete random noise. This problem is ill-posed, i.e., the solution(if it exists) does not depend continuously on the measured data. The quasi-reversibility regularization method is used to obtain a regularized approximate solution and the convergence estimate is given under a priori parameter choice rule. Numerical results show that this method will be effective and stable.
引文
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