The section on matrix multiplication is a little clunky. The lack of detail in showing the steps in later sections saves space in the text, but can cause confusion for students. I have found this topic can take some students weeks, even months to master. After one section, the author assumes the reader is an expert on the topic. There is a quick rush through Reduced Row Echelon Form. At points the author makes effort to say that the ideas in this book are useful in real life, but the examples are artificial. The examples are benign enough not to become outdated. Linear algebra and matrix algebra doesn't really go out of date. I did not check solutions to all the examples and problems, but the ones I did check were correct. This might need supplemented with non-square examples for students to refer to when attempting the homework.Ĭontent-wise, the book seems to be error free. The section on matrix multiplication has heavy emphasis on square matrices in the examples though the homework uses non-square matrices. Keeping in mind that this book focuses on computation rather than theory, it covers the main computational aspects of matrix algebra. Avoiding theory but using the term "theorem" might require some discussion in class that is avoided in the textbook. It avoids much of the theory associated with linear algebra although, the author does touch on theorems as necessary. The author makes clear in the foreword that this text is not a linear algebra text. Reviewed by Tim Brauch, Associate Professor, Manchester University on 6/15/19 Journalism, Media Studies & Communications +.
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