Prof. Saff publishes Matrix Fundamentals
Prof. Ed Saff and Arthur Snider (University of South Florida) have published a linear algebra textbook called Matrix Fundamentals: From Equation Processing to Signal Processing. This is an introductory text, suitable for STEM majors. The book is published by Springer, and its official page is here:
https://link.springer.com/book/10.1007/978-3-031-97222-5
From the web site:
Matrix Fundamentals introduces tools for working with matrices, their applications, and their significance in the broader context of linear algebra. Assuming no previous exposure to matrices, the first four chapters provide a foundation accessible to students with a basic knowledge of calculus, covering essential matrix methods used in various quantitative fields. The book formulates algorithms and discusses their practical implementation. Later chapters introduce more advanced topics, such as singular value decomposition, along with some modern applications. Emphasizing visualization and experimentation, this text is designed for undergraduate courses for students in STEM, as well as business, economics and social sciences.
Congratulations, Ed!