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Numerical Simulations and Case Studies Using Visual C++.Net

ISBN: 978-0-471-69461-8

June 2005

376 pages

Description
Learn how Visual C++ can solve numerical simulation problems

Readers learn how to master the numerical simulation process required to design, test, and support mobile and parallel computing systems. By presenting a series of straightforward program examples as a foundation, the authors show how problems in numerical methods and simulations are skillfully solved with the aid of Visual C++. The publication promotes quick learning by meeting three key objectives:

  • Filling the gap in the literature by concurrently examining problems in numerical methods and simulations alongside their solutions using Visual C++
  • Presenting solutions in a visual, reader-friendly style
  • Focusing on the problem and minimizing the coding by using the non-wizard approach in Microsoft Foundation Class (MFC), making the solutions easier to understand

Chapters cover all the topics needed to master Visual C++:

  • Developing applications using Visual C++ .Net
  • Interfaces for numerical problems
  • Matrix operations using wizard
  • Differential equation problems
  • Drawing curves
  • Working with images
  • Visualizing a graph
  • Graph applications
  • Multiprocessor scheduling problem
  • Discrete-event simulation
  • Modeling wireless networks

Each chapter contains at least one case study, enabling readers to learn by example. These studies represent today's hot research topics, including linear equations, graph construction and optimization problems, edge detection in images, multi-counter discrete-event simulations, and channel assignments for wireless cellular networks.

An accompanying ftp site contains all the Visual C++–based programs discussed in the text to help readers create their own programs. With its focus on problems and solutions, this is an excellent text for upper-level undergraduate and graduate students, and a must-have reference for researchers and professionals in the field of simulations.

About the Author
SHAHARUDDIN SALLEH, PhD, is Associate Professor, Computational Mathematics Department, Universiti Teknologi Malaysia. He has widely published research articles and books in parallel computing algorithms, mobile computing, intelligent systems, and numerical/combinatorial optimization problems.

ALBERT Y. ZOMAYA, PhD, is CISCO Systems Chair Professor of Internetworking, School of Information Technologies, The University of Sydney. His research interests include high-performance computing, parallel algorithms, mobile computing, networking, and bioinformatics. He is a Fellow of the IEEE.

STEPHAN OLARIU, PhD, is Professor, Computer Science, Old Dominion University. His research focuses on image processing and machine vision, parallel architectures, design and analysis of parallel algorithms, computational graph theory, computational geometry, and mobile computing.

BAHROM SANUGI, PhD, is Professor, Numerical Analysis and Computing, Universiti Teknologi Malaysia. His research interests include neural networks and numerical algorithms.