الفيزياء الرياضية الكتاب الشهير Mathematical Methods for Physics and Engineering: A Comprehensive Guide

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Mathematical Methods for Physics and Engineering: A Comprehensive Guide​
By K. F. Riley,M. P. Hobson,S. J. Bence,​
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* Publisher: Cambridge University Press​
* Number Of Pages: 1362​
* Publication Date: 2006-03-13​
* Sales Rank: 359363​
* ISBN / ASIN: 0521679710​
* EAN: 9780521679718​
* Manufacturer: Cambridge University Press​
* Studio: Cambridge University Press​
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Book Description:​
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The third edition of this highly acclaimed undergraduate textbook is suitable for teaching all the mathematics for an undergraduate course in any of the physical sciences. As well as lucid descriptions of all the topics and many worked examples, it contains over 800 exercises. New stand-alone chapters give a systematic account of the 'special functions' of physical science, cover an extended range of practical applications of complex variables, and give an introduction to quantum operators. Further tabulations, of relevance in statistics and numerical integration, have been added. In this edition, half of the exercises are provided with hints and answers and, in a separate manual available to both students and their teachers, complete worked solutions. The remaining exercises have no hints, answers or worked solutions and can be used for unaided homework;​
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تحياتي​
 
كتاب Mathematical Methods for Physics and Engineering

A Comprehensive Guide​
(2nd Edition) ​
by: K. F. Riley M. P. Hobson S. J. Bence ​
ISBN-13: 9780521890670 | ISBN-10: 0521890675​
Published August 2002 ​
Ebook|2nd Edition| 1256 pages | 247 x 174 mm ​
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 reorganised 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.​
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