Mathematical methods for physics and engineering : a comprehensive guide
Author(s)
Bibliographic Information
Mathematical methods for physics and engineering : a comprehensive guide
Cambridge University Press, 2002
2nd ed
- : hbk
- : pbk
Available at 24 libraries
Note
Includes bibliographical references
Description and Table of Contents
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.
Table of Contents
- 1. Preliminary algebra
- 2. Preliminary calculus
- 3. Complex numbers and hyperbolic functions
- 4. Series and limits
- 5. Partial differentiation
- 6. Multiple integrals
- 7. Vector algebra
- 8. Matrices and vector spaces
- 9. Normal modes 10. Vector calculus
- 11. Line, surface and volume integrals
- 12. Fourier series
- 13. Integral transforms
- 14. First-order ordinary differential equations
- 15. Higher ordinary differential equations
- 16. Series solutions of ordinary differential equations
- 17. Eigenfunction methods for differential equations
- 18. Partial differential equations: general and particular
- 19. Partial differential equations: separation of variables and other methods
- 20. Complex variables
- 21. Tensors
- 22. Calculus of variations
- 23. Integral equations
- 24. Group theory
- 25. Representation theory
- 26. Probability
- 27. Statistics
- 28. Numerical methods
- Appendix
- Index.
by "Nielsen BookData"