Principles of Modeling and Simulation
a multidisciplinary approach
$227.07
- Hardcover
280 pages
- Release Date
25 January 2009
Summary
Unlock Insights: A Multidisciplinary Guide to Modeling and Simulation
Explores wide-ranging applications of modeling and simulation techniques that allow readers to conduct research and ask “What if?”
Principles of Modeling and Simulation: A Multidisciplinary Approach is the first book to provide an introduction to modeling and simulation techniques across diverse areas of study. Numerous researchers from the fields of social science, engineering, c…
Book Details
| ISBN-13: | 9780470289433 |
|---|---|
| ISBN-10: | 0470289430 |
| Author: | John A. Sokolowski, Catherine M. Banks |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | John Wiley & Sons Inc |
| Format: | Hardcover |
| Number of Pages: | 280 |
| Edition: | 1st |
| Release Date: | 25 January 2009 |
| Weight: | 531g |
| Dimensions: | 241mm x 165mm x 18mm |
What They're Saying
Critics Review
“This work could supplement a graduate course on modeling and simulation (selected chapters could supplement an undergraduate course) and would be of interest to graduate students and professionals wishing to learn some of the basics of modeling and simulation.” (CHOICE, December 2009)
About The Author
John A. Sokolowski
John A. Sokolowski, PhD, is Research Professor and Director of Research at the Virginia Modeling, Analysis, and Simulation Center (VMASC) at Old Dominion University. He has authored numerous journal articles on the use of modeling and simulation techniques in the fields of engineering, computer science, and human behavior representation.
Catherine M. Banks, PhD, is Research Assistant Professor at the Virginia Modeling, Analysis, and Simulation Center (VMASC) at Old Dominion University. The author of many published articles on modeling and simulation, Dr. Banks currently focuses her research on modeling states and their varied histories of revolution and insurgency, political economy and state volatility, and global warming and population dynamics.
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