Mathematical Methods for the Physical Sciences: An Informal Treatment for Students of Physics and Engineering

Mathematical Methods for the Physical Sciences: An Informal Treatment for Students of Physics and Engineering

by K. F. Riley
     
 

Many students of physical and applied science and of engineering find difficulty in copying with the mathematics necessary for the quantitative manipulation of the physical concepts they are atudying in their main course. This book is designed to help first and second year under-graduates at universities and polytechnics, as well as technical college students, to find… See more details below

Overview

Many students of physical and applied science and of engineering find difficulty in copying with the mathematics necessary for the quantitative manipulation of the physical concepts they are atudying in their main course. This book is designed to help first and second year under-graduates at universities and polytechnics, as well as technical college students, to find their feet in the important mathematical methods they will need. Throughout the text the physical relevance of the mathematics is constantly stressed and, where it is helpful, use has been made of pictorial mathematics and qualitative verbal descriptions instead of over-compact mathematical symbolism. Topics are presented in three stages: a qualitative introduction, a more formal presentation and an explicit check or worked example. There are many exercises included in the text which are aimed at testing a student's understanding and building his confidence progressively throughout each piece of work.

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Product Details

ISBN-13:
9780521098397
Publisher:
Cambridge University Press
Publication date:
02/28/2004
Edition description:
New Edition
Pages:
552
Product dimensions:
5.83(w) x 8.98(h) x 1.22(d)

Table of Contents

Preface; 1. Preliminary calculus; 2. Vector algebra; 3. Calculus of vectors; 4. Vector operators; 5. Ordinary differential equations; 6. Series solutions of differential equations; 7. Superposition methods; 8. Fourier methods; 9. Partial differential equations; 10. Separation of variables; 11. Numerical methods; 12. Calculus of variations; 13. General eigenvalue problem; 14. Matrices; 15. Cartesian tensors; 16. Complex variables; Solutions and hints for exercises and examples; Index.

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