Matrix Analysis and Applied Linear Algebra Book and Solutions Manual

Customer Reviews

Excelent book!

2008-08-30
This is probably the best book to learn linear algebra from. The exposition is very clear and it has many insightful exercises. In my opinion, it contains everything that should be covered in an introductory course.

Un Buen Libro

2008-03-20
El libro es uno de los mejores que he leido, es muy didactico , recomiendo este libro para todo aquel que quiera aprender algebra lineal.

Progresses Well - Used for Self Study

2007-07-18
I self studied this book to improve my applied math skills. The book progresses well, with examples clear and easy to follow, even for a non mathematician such as myself. My background is only through the Calculus level. The book begins with linear equations then moves to matrix algebra, a logical approach. The author balances nicely what he refers to as "scaffolding" and the inherent efficiency of the topic.

With the exercises, I focused on the steps required to reach an accurate result and how I may apply this to the business I'm in and used Mathematica for many of the interim computations. This approach worked well for me and allowed me to better understand the topic as a whole, though it's doubtful I could have gotten away with this approach had I been in a formal classroom.

Matrix Analysis and Applied Linear Algebra

2006-11-10
The book is ok. But It has A lot oF math proof and Word problems

A Model of Authorship

2006-11-10
This book contains a comprehensive treatment on the topic of matrix analysis and applied linear algebra. The concepts are clearly introduced and developed. It is rich with detailed proofs that are easy to follow. Results are summarized and clearly grouped and marked for reference. As a researcher and a practitioner, I found this book quite useful in explaining mathematical concepts without the need for a classroom instructor.

Besides, this book comes with a CD that contains a PDF version which makes it quite useful to port as a reference. It is very rich with problem sets that add insight, both theoretically and practically. It is accompanied by a solutions manual which strengthens comprehension.

I highly recommend this book. I think it deserves to be a model to follow for authorship in the digital age.

Beautiful Scaffolding

2006-08-09
This book avoids the traditional definition-theorem-proof format; instead a fresh approach introduces a variety of problems and examples all in a clear and informal style. The in-depth focus on applications separates this book from others, and helps students to see how linear algebra can be applied to real-life situations. Some of the more contemporary topics of applied linear algebra are included here which are not normally found in undergraduate textbooks. Theoretical developments are always accompanied with detailed examples, and each section ends with a number of exercises from which students can gain further insight. Moreover, the inclusion of historical information provides personal insights into the mathematicians who developed this subject. The textbook contains numerous examples and exercises, historical notes, and comments on numerical performance and the possible pitfalls of algorithms. Solutions to all of the exercises are provided, as well as a CD-ROM containing a searchable copy of the textbook.

One of the best introductory (modern) books I know.

2006-04-27
If you need to learn Linear Algebra and Matrix Theory, your best starting point is this book.

Very well written, many examples, and many "modern" results, that are not found in classics as Gantmacher (also an excellent book).

Buy it and see for yourself.

a must buy...

2006-01-24
Although titled as Matrix Analysis and Applied Linear Algebra, this book is one of the clearest treatments of pure linear algebra in general. Most of the theorems are proved and the proofs are very well motivated. There are no hand-waving arguments yet it is very easy to follow all the material contained. I also noticed that this book provides a smooth transition to introductory functional analysis for those who already possess the adequate real analysis background.

There is an immense collection of well chosen examples throughout the book, and all the solutions are included in the
solution manual which comes as a seperate volume. The whole package(printed version of the book + CD-ROM + solution manual) is bundled, so once you order it, you will have all of them at once).

The organization of the book is also excellent and it manages to maintain a perfect coherence between sections while each chapter can be read alone as well. This is a rare trait indeed. However, this is not a numerical linear algebra book like Demmel`s and Trefethen`s texts, which mostly dwell on algorithmic implementation side, although it is the perfect complement to those two works.

Whole text(in color), including the solution manual, is available online for people who want to take a quick look at it.
The CD-ROM, which comes with the hard copy of the text also contains the electronic version of the book for readers convenience.

Obviously there is no panacea for learning or teaching matrix analysis while resorting to a single text, but this book comes closest to accomplishing this with a rather nice package.

Good book for grad cs student

2005-08-19
This is a good book for bridging between an introductory, single semester course on linear algebra and graduate matrix analysis.
Although it isn't in the traditional lemma-theorem-proof format of more traditional maths books, I found the explanations and proofs very clear. There is an electronic version of the book that you can read online but not save or print.

Really the best for learning algebra from start with rigor

2004-08-24
This book is really a treasure. Meyer introduces the field of linear algebra progressively, with many historical references. The book have rigor, but stills easy to read. The book is very comprehensive too, covering from gaussian elimination to Perron-Frobenius theory and teachs thoroughly the eigenvector/eigenvalue theory. Its a must have.