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Mathematical Methods of Physics and Engineering
 
 
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Mathematical Methods of Physics and Engineering (Paperback)

~ (Author), M. P. Hobson (Author), S. J. Bence (Author) "This opening chapter reviews the basic algebra of which a working knowledge is presumed in the rest of the book..." (more)
Key Phrases: circular drumskin, identity irrep, central confidence interval, Monte Carlo, Dirichlet Green, Use Laplace (more...)
4.2 out of 5 stars  See all reviews (9 customer reviews)


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  Paperback, August 15, 2002 -- $70.34 $38.30
There is a newer edition of this item:
Mathematical Methods for Physics and Engineering: A Comprehensive Guide Mathematical Methods for Physics and Engineering: A Comprehensive Guide 4.2 out of 5 stars (9)
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Editorial Reviews

Review

"...the book provides scientists who need to use the tool of mathematics for practical purposes with a single, comprehensive book." Optik

"This textbook is a well-written, modern, comprehensive, and complete collection of topics in mathematical methods ranging from a review of differential and integral calculus to group and representation theory, probability, the calculus of variations, and tensors." Science Books and Films

"The second edition of Mathematical Methods for Physics and Engineering by Riley et al is a great scientific textbook." European Journal of Physics


Product Description

The new edition of this highly acclaimed textbook contains several major additions, including more than four hundred new exercises (with hints and answers). To match the mathematical preparation of current senior college and university entrants, the authors have included a preliminary chapter covering areas such as polynomial equations, trigonometric identities, coordinate geometry, partial fractions, binomial expansions, induction, and the proof of necessary and sufficient conditions. Elsewhere, matrix decompositions, nearly-singular matrices and non-square sets of linear equations are treated in detail. The presentation of probability has been reorganized and greatly extended, and includes all physically important distributions. New topics covered in a separate statistics chapter include estimator efficiency, distributions of samples, t- and F- tests for comparing means and variances, applications of the chi-squared distribution, and maximum likelihood and least-squares fitting. In other chapters the following topics have been added: linear recurrence relations, curvature, envelopes, curve-sketching, and more refined numerical methods.

Product Details

  • Paperback: 1256 pages
  • Publisher: Cambridge University Press; 2 edition (August 15, 2002)
  • Language: English
  • ISBN-10: 0521890675
  • ISBN-13: 978-0521890670
  • Product Dimensions: 9.8 x 6.8 x 2.1 inches
  • Shipping Weight: 4.2 pounds
  • Average Customer Review: 4.2 out of 5 stars  See all reviews (9 customer reviews)
  • Amazon.com Sales Rank: #489,784 in Books (See Bestsellers in Books)

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K. F. Riley
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Customer Reviews

9 Reviews
5 star:
 (5)
4 star:
 (3)
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Average Customer Review
4.2 out of 5 stars (9 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

 
11 of 11 people found the following review helpful:
5.0 out of 5 stars Just one comment, this is a great book., May 29, 2007
This is one of the best mathematical methods book, very readable.
It has very clear explainations, in each topic it's developing from basic intuitions until it reaches the genralized equations, several detailed examples help a reader checks his understanding and follows the authors.

The contents are very well-organized and self-contained, one can looks directly at the topic he wants to know. It's lucid and normally answer and teach a reader what he wants to do. All definitions make sense and a reader can accepts easily it's a smart thing to do math that way.

It also serves as a one-stop, if you feel confused when you're reading because your background knowledge is not strong enough, just search for the previous related topics, all brilliant explainations are waiting for you to grasp them, make you ready for what you need.

Any undergrads and beginning grad students in Physics will find this book is great. This is an excellent example how to write an approachable math methods book. Eventhough it has a thick over than 1,300 pages, but it never turns a reader away becuase of its thickness at all. Once one starts reading it, he'll enjoy and come back looking for another explaination.

One more great point is, this book contains a lot of real physical examples besides the math formulations, make a reader understands the topic deeply and sees a practical use.

Besides the book, I totally don't agree with a previous comment from a chemical physicist who gave this book just one star.

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8 of 8 people found the following review helpful:
5.0 out of 5 stars comprehensive AND comprehensible, October 15, 2007
By Harvey S. Picker (Hartford, CT United States) - See all my reviews
(REAL NAME)   
I've been teaching an upper-level course in math methods of physics on and off for thirty-five years or so. This is as good a text as I've found. In fact, I've been using this book since it began life as a much smaller volume by Riley alone. It has always provided a down-to-earth exposition of applicable mathematics. Now it provides more than ever, include two nice chapters on group theory, with more problems than the previous editions.

Despite its broad coverage, it is not an encyclopedia. Individual sections are thorough, well illustrated by examples, and comprehensible. Yes, I might have organized some of the material somewhat differently. But that is largely a matter of taste.

The reviewer who alleges that one must have mastered a lot of math to benefit from this book clearly has not read the first chapter. The book by Boas with which he compares it is a) less comprehensive, b) at a lower level overall, c) and a lot more expensive.

At $63, this volume is a real bargain.
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5 of 5 people found the following review helpful:
5.0 out of 5 stars clear exposition of practical material, October 17, 2007
Beautifuly organized compendium of mathematical tools which are daily bread and butter of every theoretical physicst. Excellent for first year graduate students wanting to pursue career in any branch of theoretical physics.
The main advantages which distinguishes this classic from others is clear and conscise pedagogical style and excellent selection of topics which are being discussed fully and without sacrifising mathematical rigour.
However for advanced students this text may sometimes bore with overdetailed explanations and minor details.
Summing up everything, if you wanna learn mathphys and want to start you are in the right place.
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Most Recent Customer Reviews

4.0 out of 5 stars Great resource and good for self study
I bought this book because I felt that in my undergraduate Chemistry education, I didn't receive enough mathematical training. Read more
Published 1 month ago by got2ske

4.0 out of 5 stars Comprehensive AND NOT Comprehensible for beginners
I am a graduate student in Biochemistry with a bachelors in applied math and I wanted to go back and review a lot of math techniques before I totally forgot them. Read more
Published 7 months ago by Muddler

5.0 out of 5 stars Wonderful general math text for quick reference
I bought this book a few years ago when I was studying physics in University, I've now switched to engineering and I still use this book regularly. Read more
Published 13 months ago by Adam Redwine

4.0 out of 5 stars Mathematical Methods book
Very good book. Wide range of contents and written in British style, which may seem strange to some.
Published 22 months ago by Sotirios Mamalis

5.0 out of 5 stars Reviewing Mathematical Methods for Physics and Engineering: A Comprehensive Guide
The book was in excellent conditions and its content have been very useful. This is the book with a high level but at the same time easier to follow and understand. Read more
Published 24 months ago by Jose De Jesus Bueno

1.0 out of 5 stars There are much better options.
This book is only good for someone who is very experienced in these areas of mathematics it discusses. Read more
Published on April 23, 2007 by Robert W. Molt Jr.

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