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Linear Algebra with Applications (7th Edition) | 
 enlarge | Author: Steven J. Leon
Publisher: Prentice Hall
Category: Book
List Price: $137.33
Buy Used: $89.99
You Save: $47.34 (34%)
New (16) Used (26) from $89.99
Rating:  19 reviews
Sales Rank: 14030
Media: Hardcover
Edition: 7
Pages: 544
Number Of Items: 1
Shipping Weight (lbs): 2
Dimensions (in): 9.2 x 7 x 1
ISBN: 0131857851
Dewey Decimal Number: 512.5
EAN: 9780131857858
Publication Date: June 16, 2005
Availability: Usually ships in 1-2 business days
Shipping: Expedited shipping available
Condition: Quality textbook. May contain highlighting/writing. c. We recommend expedited shipping for quicker delivery.
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Product Description
This thorough and accessible book from one of the leading figures in the field of linear algebra provides readers with both a challenging and broad understanding of linear algebra. The author infuses key concepts with their modern practical applications to offer readers examples of how mathematics is used in the real world. Topics such as linear systems theory, matrix theory, and vector space theory are integrated with real world applications to give a clear understanding of the material and the application of the concepts to solve real world problems. Each chapter contains integrated worked examples and chapter tests. The book stresses the important role geometry and visualization play in understanding linear algebra. For anyone interested in the application of linear algebra theories to solve real world problems.
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| Customer Reviews: Read 14 more reviews...
 Great for "fixing holes"! July 24, 1999
1 out of 3 found this review helpful
I found this book great in order to "fix holes' in my mathematical weaponry or to get a quick review of things I needed; but I think that the way in which the theoretical stuff is developed is sometimes not very clear to those folks who have to tackle with the subject for the very first time. The applications are a remarkable feature of this book, introducing the reader to some very interesting applications of linear algebra in a variety of fields.
 Good Book for the Most Part August 5, 2003
Michael Sean Geary (Pensacola, FL USA)
3 out of 6 found this review helpful
Overall, I thought was well laid out. I would probably like to see more practical application of linear algebra to real world problems.
A Good Book on Linear Algebra September 10, 2000
H.- K. Chai (West Lafayette, Indiana USA)
2 out of 2 found this review helpful
First of all, I would like to say this book is not for beginers. If you have no idea what a matrix is, don't use this book. However if you have taken an introductory course in linear algebra or you already have a reasonably well foundation in this subject, then you should have no problem in understanding following the text. Although the explaination in this book is not particularly outstanding, it does treat some advanced topics like eigenvalues, numerical linear algebra elegantly. I would like to recommend this book to persons who would like to seek a more advanced linear algebra book for reference or self studying.Finally, regarding to other reviews on this book, I would like to point out: 1. Linear algebra courses usually won't teach you how to prove. Go and take analysis courses if you like proving theorems. 2. If you are an absolute beginner, take some introductory courses on linear algebra FIRST before you take courses that use this book. I don't think any college will use this book in the first course in linear algebra.
perfect background for any linear alg. courses August 29, 1999
dreadnaught45@hotmail.com (chicago, illinois)
0 out of 2 found this review helpful
this provides a rather solid background for those in higher mathematics. id say it is suited for the advanced student due to the simplistic nature of explanations.
good introduction February 23, 2005
Miguel Canals (Rincon, PR)
0 out of 7 found this review helpful
A very good introduction to linear algebra. Explanations are very clear. A very good exposition on vector spaces. Overall a good buy for starting in this most interesting subject.
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