9780521813723-0521813727-Mathematical Methods for Physics and Engineering: A Comprehensive Guide

Mathematical Methods for Physics and Engineering: A Comprehensive Guide

ISBN-13: 9780521813723
ISBN-10: 0521813727
Edition: 2
Author: K.F. Riley, S.J. Bence, M. P. Hobson
Publication date: 2002
Publisher: Cambridge University Press
Format: Hardcover 1256 pages
FREE US shipping

Book details

ISBN-13: 9780521813723
ISBN-10: 0521813727
Edition: 2
Author: K.F. Riley, S.J. Bence, M. P. Hobson
Publication date: 2002
Publisher: Cambridge University Press
Format: Hardcover 1256 pages

Summary

Mathematical Methods for Physics and Engineering: A Comprehensive Guide (ISBN-13: 9780521813723 and ISBN-10: 0521813727), written by authors K.F. Riley, S.J. Bence, M. P. Hobson, was published by Cambridge University Press in 2002. With an overall rating of 4.4 stars, it's a notable title among other books. You can easily purchase or rent Mathematical Methods for Physics and Engineering: A Comprehensive Guide (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.43.

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.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book