The paper is briefly dealing with greater or lesser misused normalization in self-modeling/multivariate curve resolution (S/MCR) practice. The importance of the correct use of the ode solvers and apt kinetic illustrations are elucidated. The new terms, external and internal normalizations are defined and interpreted. The problem of reducibility of a matrix is touched. Improper generalization/development of normalization-based methods are cited as examples. The position of the extreme values of the signal contribution function is clarified. An Executable Notebook with Matlab Live Editor was created for algorithmic explanations and depictions.

翻译：本文简要探讨了自建模/多元曲线分辨（S/MCR）实践中被不同程度误用的归一化问题。阐明了正确使用常微分方程求解器以及恰当的动力学图示的重要性。定义并解释了新术语——外部归一化与内部归一化。涉及矩阵可约性问题，并列举了基于归一化的方法被不当推广/发展的实例。明确了信号贡献函数极值点的位置。为算法说明与图示创建了一个包含Matlab实时编辑器的可执行笔记本。