Programming Projects in C for Students of Engineering, Science, and Mathematics

Rouben Rostamian

ISBN 10: 161197349X / ISBN 13: 9781611973495

Published by SIAM-Society for Industrial and Applied Mathematics, 2014

About this Item

A collection of projects to help graduate students in mathematics and the sciences develop and hone their scientific computing skills. Num Pages: 400 pages. BIC Classification: UMX. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 252 x 173 x 21. Weight in Grams: 760. . 2014. Paperback. . . . . Seller Inventory # V9781611973495

Bibliographic Details

Title: Programming Projects in C for Students of ...

Publisher: SIAM-Society for Industrial and Applied Mathematics

Publication Date: 2014

Binding: Soft cover

Condition: New

About this title

Synopsis:

Written 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.

Book Description:

Written as a tutorial on how to think about, organise and implement programs in scientific computing using the C programming language, this book achieves its goal through a wide-ranging collection of projects. Ideal for graduate students in mathematics and the sciences who wish to develop their scientific computing skills.