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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