An introduction to numerical methods in C++
Author(s)
Bibliographic Information
An introduction to numerical methods in C++
Oxford University Press, 2000
Rev. ed.
- : pbk
Available at 8 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical reference and index
Description and Table of Contents
Description
Designed for the many applied mathematicians and engineers who wish to explore computerized numerical methods, this text communicates an enthusiasm for the power of C++, an object-oriented language, as a tool for this kind of work. This revision of the successful first edition includes for the first time information on programming in Windows-based environments. In addition this revision includes new topics and methods throughout the text that clarify and enhance the
treatment of the subject. From reviews of the first edition: 'If you are interested in numerical methods or are looking for a course text this book is worth your attention.'' Journal of the Association of C and C++ Users
Table of Contents
- 1. Preliminaries
- 2. Expressions, statements and functions
- 3. Errors, theorems and speed
- 4. Roots of non-linear equations
- 5. Classes
- 6. Derived classes and streams
- 7. Integer arithmetic
- 8. Tests of randomness
- 9. Vectors and matrices
- 10. Direct solution of linear equations
- 11. Errors in matrix manipulation
- 12. Iterative solutions of systems of equations
- 13. Matrix eigenvalue problems
- 14. Interpolation and data fitting
- 15. Graphics
- 16. Differentiation and integration
- 17. Orthogonal polynomials
- 18. Differential equations
- 19. More about differential equations
- 20. Recursive data types - lists
- 21. Elements of Fourier analysis
by "Nielsen BookData"