This book is divided into six chapters, including determinants, matrices, linear equations, similarity matrices and quadratic forms, linear spaces and linear transformations, and the application of Matlab in linear algebra. Each section is equipped with a rich variety of examples and exercises. The exercises are strictly arranged in a gradient according to the difficulty of the knowledge points, covering both basic knowledge and improved knowledge. There is a "pre-class introduction" and "learning requirements" before each section; at the end of each chapter there is a "network diagram of knowledge points in this chapter" and "summary and analysis of question types in this chapter". These content settings enable students to quickly grasp the logical structure, key contents, and main methods of this chapter and this section.
Reader comments
The content of this book is very systematic, and the examples and exercises are also very rich, which is very helpful for learning linear algebra. I think of a friend of mine who studies computer science. He said that linear algebra has many applications in their major. Moreover, this book also has application cases, which allowed me to understand the practical use of linear algebra more intuitively. I think it's not only suitable for students, but also for people like me who want to learn about linear algebra.
Suitable for entry, the introduction is useful for beginners
The content of this book is very systematic, and the examples and exercises are also very rich, which is very helpful for learning linear algebra. I think of a friend of mine who studies computer science. He said that linear algebra has many applications in their major. Moreover, this book also has application cases, which allowed me to understand the practical use of linear algebra more intuitively. I think it's not only suitable for students, but also for people like me who want to learn about linear algebra.
Suitable for entry, the introduction is useful for beginners