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eBook Linear Algebra with Applications, Student Solutions Manual download
Author: Otto Bretscher
ISBN: 0130328561
Subcategory: Mathematics
Pages 167 pages
Publisher Pearson; 2nd edition (August 16, 2001)
Language English
Category: Science
Rating: 4.9
Votes: 709
ePUB size: 1274 kb
FB2 size: 1609 kb
DJVU size: 1947 kb
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eBook Linear Algebra with Applications, Student Solutions Manual download

by Otto Bretscher

Only 18 left in stock (more on the way). 2 people found this helpful.

Student Solutions Manual for Linear Algebra with k. With that being said, the book itself, international of not, is terrible for trying to learn linear algebra. What the chapters cover, and then what's asked in the homework sections don't mesh well enough. The chapters cover the basic concepts, but the corresponding questions are often very difficult to answer using what information is in the corresponding sections.

Linear Algebra with Applications. Student solutions manual. Elementary Linear Algebra with Applications. Linear Algebra and Its Applications. 66 MB·45,269 Downloads. The Gifts of Imperfection: Embrace Who You Are.

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Start by marking Linear Algebra with Applications as Want to Read: Want to Read savin. ant to Read. this book isn't the best, but it really helped me get through a class. Shelves: reference-only, linear-algebra, mathematics, own. For me, the best part of this book is the exercises since many are very applied.

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ISBN: 9780321796967, Publisher: Pearson, Authors: Otto Bretscher. Find your textbook below for step-by-step solutions to every problem. Linear Algebra with Applications, 5th. Linear Algebra with Applications. Linear Algebra with Applications, 4th. Student Solutions Manual for Linear. Linear Algebra with Applications, with. Don't see your textbook? See all linear algebra textbooks.

Categories: Mathematics. Instructor's Solutions Manual for Linear Algebra with Applications. Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them. Otto Bretscher, Kyle Burke.

Page 1. INSTRUCTOR’S SOLUTIONS MANUAL KYLE BURKE Boston University with art by. George welch. Otto Bretscher Colby College. Bretscher 600928X ISM TTL.

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With the most geometric presentation now available, this reference emphasizes linear transformations as a unifying theme, and enables users to â?doâ? both computational and abstract math in each chapter. A second theme is introduced half way through the textâ?when eigenvectors are reachedâ?on dynamical systems. It also includes a wider range of problem sets than found in any other book in this market. Chapter topics include systems of linear equations; linear transformations; subspaces of Rn and their dimension; linear spaces; orthogonality and least squares; determinants; eigenvalues and eigenvectors; symmetric matrices and quadratic forms; and linear differential equations. For anyone seeking an introduction to linear algebra.

I'm not in any way math averse, and this textbook was a factor in making Linear Algebra my least favorite class this semester.

Let me summarize all of the problems I have with it in three simple words: it's too thin.

Explain more. Please. This stuff is mostly new to me. Be redundant so I can skim and skip; don't be brief so that I flounder and fail.

When I confronted my professor about the textbook, he said they were all like that, and that there was no "easy" way to teach linear algebra.

That might be true. But I'm certain there's a "hard" way to teach it, and I'm also sure that this book gets pretty close to that.

Two stars since I was able to rent it at a decent price.
This textbook is unusual. The pacing is strange: there are long historical/ cultural digressions and stories, along with the usual dense mathematics. I appreciate what the authors were going for, and I found the anecdotes interesting, but the text as a whole felt schizoid.

But: my main problem isn't the stories. It's the problem sets. Like other commenters have mentioned, this book presents problems that, to solve, require knowledge and techniques presented later in the book. This is the "fun" kind of frustrating for a while, but it gets irritating and counterproductive when you really need to figure out how to do this, or risk your grade.

In addition, there are some terms and necessary algorithms/ formulas that are introduced (ie, buried) within the problem sets themselves. They are then used, without comment, in later examples and problems. It is very easy to miss this important information, especially if your lecturer is in the habit of only assigning specific problems, or you're only bothering to attempt to solve the ones for which you have a solution (the odd-numbered problems).

Overall, this is not the worst linear algebra text I've read. But its approach has some frustrating quirks.
When I first read this book as a sophomore in college it was totally impenetrable. To those unfamiliar with the standard language used in mathematics (e.g. knowing what things like what "closed under addition" means), you'll likely have a similar experience. I believe this book's wealth of bad reviews is a result of its assuming a fairly math-lingo conversant audience, despite its intention as an introductory text.

3 years later, now that I've become fairly accustomed to reading and writing proofs, this book is actually surprisingly useful, and I find myself returning to it often as a reference when I need to brush up on a LA concept quickly.

If you really want a good to understand linear algebra and what makes it so powerful, I strongly recommend reading "Linear Algebra Done Right" by Axler and/or "Vector Calculus, Linear Algebra, and Differential Forms A Unified Approach" by Hubbard. These are somewhat more advanced texts though.
I go to a small competitive liberal arts school with a lot of serious math students, where this book is renowned for being horrendous. No one's quite sure why all the professors still use it - maybe one of them is friends with the author - but I've never heard a student defend or compliment it.

The text focuses on phrasing ideas as pedantically and densely as possible, without discussing the significance or logic behind them. Occasionally, an example use or higher-level rationalization is given, but typically the chapters are just a jungle of definitions and proofs by algebraic simplification or induction.

I'm no stranger to theoretical math or mathematical notation, and neither are many of my peers. However, this book makes absolutely no attempt to tell you *why* anything it contains is profound, let alone worthwhile. It spends a long time, for example, proving and discussing very specific and painfully boring shortcuts to computing determinants. While that may become useful when implementing some high-performance matrix processing library, I can't imagine it's a valuable use of time in an introductory undergraduate course. Meanwhile, far more interesting and significant, and sufficiently pure topics like PageRank are only briefly glossed over in "optional" pages at the end of some sections. Maybe I'm just not brilliant enough to tap inspiration from the plodding definitions and parlor-trick equations the book methodically and painstakingly feeds you, but I suspect otherwise.

It seems that this book, like most calculus textbooks, has confused "interesting" with "pedestrian" and "useful" with "applied". In doing so, it attempts to make things hard simply by drowning you in technical language, vagueness, and memorization of rather arbitrary techniques, like those for finding determinants or certain forms of eigenvectors. Unlike a harder and more notation-focused discrete math course I took, I came out of the linear algebra course that used this textbook feeling that I learned nothing interesting about how the world works, and nothing that I might use in any future intellectual pursuit. It was, aside from Chapter 1 (which I had already learned in discrete math), a waste of time.
I had a very old linear algebra textbook before this one. The old book was difficult to read and understand. This book was fantastic at explaining and the problems in the book fit well. It's odd that it has determinants as chapter 6, where in most books it's chapter 1.