Simulation for Applied Graph Theory Using Visual C++

1. Auflage 2016
ISBN: 978-1-4987-2101-1
Verlag: Taylor & Francis Inc

Buch, Englisch, 354 Seiten, Format (B × H): 262 mm x 186 mm, Gewicht: 830 g

The tool for visualization is Microsoft Visual C++. This popular software has the standard C++ combined with the Microsoft Foundation Classes (MFC) libraries for Windows visualization. This book explains how to create a graph interactively, solve problems in graph theory with minimum number of C++ codes, and provide friendly interfaces that makes learning the topics an interesting one. Each topic in the book comes with working Visual C++ codes which can easily be adapted as solutions to various problems in science and engineering.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Salleh, Shaharuddin

Abas, Zuraida Abal

Fachgebiete

• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Mathematik | Informatik Mathematik Mathematik Allgemein
• Mathematik | Informatik EDV | Informatik Betriebssysteme

Inhaltsverzeichnis

Graph Theory. Visualization with MFC. Graph Coloring. Computing the Shortest Path. Computing the Minimum Spanning Tree. Computing the Maximum Clique. Triangulation Application. Scheduling Application. Target Detection Application. Network Routing Application.

Über Autor(innen)

Shaharuddin Salleh is currently a professor of computational mathematics at the Center for Industrial and Applied Mathematics, and the Department of Mathematical Sciences, Universiti Teknologi Malaysia. He obtained his PhD at the same university, his MS at Portland State University, and BS at California State University Chico. Prof. Salleh is the author of six books, including two for Wiley-Interscience, Hoboken, New Jersey, in 2005 and 2008; and one for Kluwer Academic Publishers (now Springer) in 1999. His research interests are numerical computing, parallel computing, applied graph theory, and wireless sensor networks. Prof. Salleh has published over 150 technical papers in journals and conferences.

Zuraida Abal Abas is currently a senior lecturer at the Department of Industrial Computing, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka. She obtained her PhD in mathematics at Universiti Teknologi Malaysia; her MSc in operational research at London School of Economics, United Kingdom; and her BSc in industrial mathematics at Universiti Teknologi Malaysia. Her research interests are operational research, applied graph theory, modeling, and simulation.