Matrices and Vector Spaces (Pure and Applied Mathematics) | 
 enlarge | Author: William Brown
Publisher: CRC
Category: Book
List Price: $84.95
Buy New: $45.50
You Save: $39.45 (46%)
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Rating:  1 reviews
Sales Rank: 1511412
Media: Hardcover
Edition: 1
Pages: 328
Number Of Items: 1
Shipping Weight (lbs): 1.1
Dimensions (in): 9.1 x 6.1 x 0.8
ISBN: 0824784197
Dewey Decimal Number: 512.5
EAN: 9780824784195
Publication Date: March 1, 1991
Availability: Usually ships in 1-2 business days
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Product Description
A textbook for a one-semester course in linear algebra for graduate or upper-level undergraduate students of mathematics and engineering. Employs a matrix perspective, and emphasizes training in definitions, theorems, and proofs. Annotation copyright Book News, Inc. Portland, Or.
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| Customer Reviews:
Excellent Text For Those Wanting A Deeper View May 20, 2008
Zachary J. Flores
1 out of 1 found this review helpful
As the author implies this book is intended for a graduate course in linear algebra or for an honors course--which is exactly what it is intended for. I'm surprised I didn't hear of this book until the author happened to be my professor for linear algebra. Though we did not use his book for the class (We used Leon, sadly), I did an "honors option" and worked out of his book. I found it far more illuminating than Leon, who does not even develop the theory of determinants using permutations and instead adopts the typical (and far less interesting) Laplace expansion for determinants.
The way this book is written, the reader should definitely be acquainted with basic function theory (injective, surjective, etc.), have a decent background in set theory, and be familiar with some terms from algebra (homomorphisms, isomorphisms, etc.). The problems range from simply computational to challenging proofs, with suggestions and answers in the back for a good majority. Overall, if you're looking for a pretty good preparation for graduate linear algebra or a senior-level linear algebra, this is a good text, because it really skips over all the applications in engineering and science that seem to clutter today's linear algebra textbooks.
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