Reviews for Matrix Algebra Using MINimal MATlab

The average rating for Matrix Algebra Using MINimal MATlab based on 2 reviews is 4 stars.

Review # 1 was written on 2020-10-12 00:00:00 Kevin Adkins This book is excellent if you want to have an insight into Wu-Ritt Characteristic Set Method. The examples, discussed through the book, are very helpful to understand how the theories of Zero decomposition and Pseudo-division can be applied to prove geometrical problems. Furthermore, Characteristic Set Method seems to be powerful to detect the subsidiary conditions. However, I didn't read/study the proof all the geometrical problems at the end of the book. I chose to spend time to understand the most relevant ones (at least to me), for instance, Morley's Theorem. I wished to have more information about the optimization of Characteristic Set Method. As I implemented a basic version of the algorithm, the computing time can be so long and optimization is so crucial.

Review # 2 was written on 2013-12-09 00:00:00 Chris Feliciano If you read this book as first time in order to understand Computational Complexity, then you're probably not going to like it. You need to read Sipser's textbook before you read this book and make sure that you have a strong background in discrete mathematics (if not, then see Rosen's textbook in Discrete Mathematics). This book is recommended by best people in complexity and algorithms such as Scott Aaronson, Sipser, etc. You need to solve as many exercises as you go. The book has five parts: Part I: Algorithms Part II: Logic Part III: P and NP Part IV: Inside P Part V: Beyond NP The most important parts are in Part I, III.