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）实践中不同程度被误用的归一化方法。阐明了正确使用常微分方程求解器及恰当动力学图示的重要性。定义了"外部归一化"与"内部归一化"这两个新术语并加以阐释。涉及了矩阵可约性问题。以实例引述了基于归一化方法的不当推广/发展。明确了信号贡献函数极值点的位置。研究还创建了基于Matlab Live Editor的可执行笔记本，用于算法的解释与图示。