
Programming Projects in C
For Students of Engineering, Science, and Mathematics
$185.50
- Paperback
408 pages
- Release Date
30 September 2014
Summary
Like a pianist who practices from a book of études, readers of Programming Projects in C for Students of Engineering, Science, and Mathematics will learn by doing.
Written as a tutorial on how to think about, organize, 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 implementing the algorithm in C and compiling and testing the results. It is not necessary to carry out the projects in sequential order. The projects contain suggested algorithms and partially completed programs for implementing them to enable the reader to exercise and develop skills in scientific computing; require only a working knowledge of undergraduate multivariable calculus, differential equations, and linear algebra; and are written in platform-independent standard C. The Unix command-line is used to illustrate compilation and execution.
Book Details
| ISBN-13: | 9781611973495 |
|---|---|
| ISBN-10: | 161197349X |
| Author: | Rouben Rostamian |
| Publisher: | Society for Industrial & Applied Mathematics,U.S. |
| Imprint: | Society for Industrial & Applied Mathematics,U.S. |
| Format: | Paperback |
| Number of Pages: | 408 |
| Release Date: | 30 September 2014 |
| Weight: | 768g |
| Dimensions: | 152mm x 229mm |
| Series: | Computational Science & Engineering |

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Rouben Rostamian
Rouben Rostamian is a Professor of Mathematics at University of Maryland, Baltimore County (UMBC), where he has been since 1985. Over the years he has served as Department Chair at UMBC and as Program Director of the Applied Mathematics Program at the National Science Foundation. He has published numerous articles on the analysis of linear and nonlinear partial differential equations with applications to homogenization, flow in porous media, elasticity, and computational mathematics.
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