Programming Projects in C for Students of Engineering, Science, and Mathematics
Programming Projects in C for Students of Engineering, Science, and Mathematics
AUD$122.73
exc GSTWritten as a tutorial on how to think about, organise and implement programs in scientific computing, this book achieves its goal through an eclectic and wide-ranging collection of projects. Each project presents a problem and an algorithm for solving it, and the reader is guided through the process of implementing the algorithm in C, and compiling and testing the results. The projects contain suggested algorithms and partially completed programs for implementing them, written in platform-independent standard C, to enable the reader to develop and exercise skills in scientific computing. Requiring only a working knowledge of undergraduate multivariable calculus, differential equations, linear algebra and the C programming language, this book is written for graduate students in mathematics, engineering and the sciences. It will also be of interest to advanced undergraduates and working professionals who wish to hone their skills in scientific computing in C.
- The projects guide the reader in such a way that enables them to develop and exercise their skills
- Requires only undergraduate calculus, differential equations and algebra making it accessible to a wide range of readers
- The projects do not need to be completed in sequential order
Product details
October 2014Paperback
9781611973495
400 pages
252 × 176 × 21 mm
0.76kg
This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Table of Contents
- Chapter interdependencies
- Preface
- Part I. A Common Background:
- 1. Introduction
- 2. File organization
- 3. Streams and the Unix shell
- 4. Pointers and arrays
- 5. From strings to numbers
- 6. Make
- Part II. Projects:
- 7. Allocating memory: xmalloc()
- 8. Dynamic memory allocation for vectors and matrices: array.h
- 9. Reading lines: fetch_lines()
- 10. Generating random numbers
- 11. Storing sparse matrices
- 12. Sparse systems: the UMFPACK library
- 13. Haar wavelets
- 14. Image I/O
- 15. Image analysis
- 16. Linked lists
- 17. The evolution of species
- 18. The Nelder–Mead downhill simplex
- 19. Trusses
- 20. Finite difference schemes for the heat equation in one dimension
- 21. The porous medium equation
- 22. Gaussian quadrature
- 23. Triangulation with the Triangle library
- 24. Integration on triangles
- 25. Finite elements
- 26. Finite elements: nonzero boundary data
- A. Barycentric coordinates
- Bibliography
- Index.
