通过仔细阅读文章，我发现时间分数阶导数的处理是利用通常的L格式，空间离

通过仔细阅读文章，我发现时间分数阶导数的处理是利用通常的L格式，空间离散也引用常见的办法，况且有以下几个问题：<br>1.针对时间分数阶微分方程，对已有的算法分析和描述不够全面；<br>2.没有对提出的数值算法进行收敛性分析，从而看不出差分格式的精度；<br>3.数值例子中，没有将本文的算法与已有的算法进行比较，从而没有凸显差分格式的优势。<br>基于以上原因，我认为文章创新性不强，达不到本期刊的标准。

Through careful reading of the article, I found that the processing of time fractional derivatives uses the usual L-format, and spatial discretization also uses common methods. In addition, there are several issues as follows:<br>1. The analysis and description of existing algorithms for time fractional differential equations are not comprehensive enough;<br>2. The convergence analysis of the proposed numerical algorithm was not conducted to assess the accuracy of the differential scheme;<br>In the numerical examples, the algorithm proposed in this paper was not compared with existing algorithms, thus not highlighting the advantages of the difference scheme.<br>Based on the above reasons, I believe that the article lacks innovation and does not meet the standards of this journal.

Through careful reading of the article, I found that the time fractional derivative is handled by using the usual L format, and the spatial dispersion also refers to the common methods. Moreover, there are the following problems:<br> 1. For time fractional differential equations, the analysis and description of existing algorithms are not comprehensive enough;<br> 2. The convergence of the proposed numerical algorithm is not analyzed, so the accuracy of the differential scheme can not be seen;<br> 3. In the numerical example, the algorithm in this paper is not compared with the existing algorithms, so the advantages of the difference scheme are not highlighted.<br> Based on the above reasons, I think the article is not innovative enough to meet the standards of this journal.