This leading textbook for first courses in linear algebra comes from the hugely experienced MIT lecturer and author Gilbert Strang The book s tried and tested approach is direct, offering practical explanations and examples, while showing the beauty and variety of the subject Unlike most other linear algebra textbooks, the approach is not a repetitive drill Instead it inspires an understanding of real mathematics The book moves gradually and naturally from numbers to vectors to the four fundamental subspaces This new edition includes challenge problems at the end of each section Preview five complete sections at math.mit.edu linearalgebra Readers can also view freely available online videos of Gilbert Strang s 18.06 linear algebra course at MIT, via OpenCourseWare ocw.mit.edu , that have been watched by over a million viewers Also on the web , readers will find years of MIT exam questions, MATLAB help files and problem sets to practise what they have learned....
Title  :  Introduction to Linear Algebra 
Author  :  
Rating  :  
ISBN  :  9780980232714 
ISBN13  :  9780980232714 
Format Type  :  EPub 
Language  :  Englisch 
Publisher  :  Wellesley Cambridge Press Auflage 4 10 Februar 2009 
Number of Pages  :  577 Pages 
File Size  :  796 KB 
Status  :  Available For Download 
Last checked  :  21 Minutes ago! 
Introduction to Linear Algebra Reviews

This is one of the best books I have started reading for Linear Algebra.Cause I am starting an M.Sc. in AI study I have searched for a comprehensive and clear introduction to Linear Algebra. Starting looking plenty of Mr. Gilbert Strangs video lessons 18.06 finally I found the best source to remember and improve the understanding of this very important field. In addition, I bought this new version of his LA books and I didn't regret it. One thing I have to mention for all of the people who are interesting to buy this book, too, is to see some of his lessons if you like the teaching style he is using, cause the book uses the same style and sometimes some things are not so clear when you read them first. But if you like it, I believe that this is the best source for Linear Algebra some can get.Conclusion:If you see all the lectures at 18.06 and read this book, you don't need any other sources to get a comprehensive understanding in Linear Algebra.

I've read many linear algebra books, and this was the best until now. It doesn't contain detailed proofs for all theorems (you can find hundreds of books which do that), but shows the roots of linear algebra, and leads the reader to a deep understanding, through lots of examples, and solved exercises. After one got a full picture, he/she can proceed to the detailed proofs of the theorems.In addition you can watch all linear algebra lectures of prof. Strang freely on Youtube, just search for "MIT Openopencourseware" or for "Gilbert Strang".

Read many books on math and computer science but this one stands out. Great, logical set up, clear language, good additional material. Simply the best book on introductory LA on the market.

Hier merkt man wer Mathe im Blut hat! Gemeinsam mit den Videos zu 1806 lernt es sich glaube ich fast von alleine :) So berichten meine Studenten jedenfalls ...

Excellent book to follow the MIT OCW classes. It's a pity only contains odd problem number solution, but if you write to the author, he will send you back the solutions for event problem numbers.

very good book , clear and good written , i advice every one to read it, i think strang is brilliant

I think this is an excellent book for selfstudy for a nonmathematician. This book may be considered as not rigorous enough by mathematicians and mathmajors. Most proofs are not given in formal language and format. I don't think this is a weakness of this book because the target readers are not mathmajors.I want to comment on the organization of the 10 chapters. Although the back cover says Chapters 710 are for a second course on linear algebra, I don't agree with it. These four chapters are standalone so can't really form a "course". Chapters 8, 9 are mainly about applications. Almost all materials are shallow and at most provide a preview to how linear algebra is used in real world  they are not sufficient to prepare you to really solve any real world problems. The author often refers to his other textbooks (Computational Science and Engineering, and Intro to Applied Maths) in many places throughout the book. These are the places that this book mentions issues without really explaining them.I think that the applications in Chapter 89 are better used to supplement earlier chapters to provide motivations for learning linear algebra. This may also explain why quite a few reviewers say this book lack motivations  because they are separately presented. The reader would understand form these examples that if they learn linear algebra AND THEN take some additional course(s) on advanced topics, they will eventually be able to see how maths is useful.I consider Chapter 7 as a summary of what has presented so far, and provides a slightly more theoretical view to the materials, so I think it should be included in the first course. Chapter 10 is about complex matrix. It could be optional to some students so it is ok to put it to the back.Some people comment that this book is not a good *introduction*. I read this because I have already seen a lot of applications of linear algebra and decided I need to learn from the basics, and so I don't really need motivations to learn. For those who need to take this course without knowing why, you may first scan through the subheadings in Chapter 8 to decide if this book would motivate you enough.

Aeltere Ausgabe des noch immer erscheinenden Klassikers, begleitend zum MIT online Kurs. Folgt daher den Vorlesungen angenehm nahe. Die Aufgaben sind auch im Selbststudium loesbar, machen oft Spass, und kommen z.T. mit Loesungen (fuer ausgewaehlte Aufgaben, d.h. etwas weniger als die Haelfte). Die gewaehlte Lehrmethode ist interessant, und im guten Sinne eigenwillig genug, dass sich das Buch auch lohnt, wenn man steckengeblieben ist, und mal neu nachdenken will. Der Autor hat offensichtlich Freude an der Sache, und das Fach lange unterrichtet.