Principles of Modeling and Simulation: A Multidisciplinary Approach

John A. Sokolowski (Editor), Catherine M. Banks (Editor)

ISBN: 978-0-470-28943-3

Hardcover

280 pages

February 2009

List Price:	US $133.00
Government Price:	US $87.64
Enter Quantity: Buy

Principles of Modeling and Simulation: A Multidisciplinary Approach (0470289430) cover image

This is a Print-on-Demand title. It will be printed specifically to fill your order. Please allow an additional 15-20 days delivery time. The book is not returnable.

< >

Ideal as a fundamental overview of modeling and simulation for professionals and non-technical undergraduates who need to apply modeling and simulation techniques to their specific area of expertise
Emphasizes a multidisciplinary approach by featuring chapters written by well-known experts and key researchers in the various fields related to modeling and simulation
Designed to introduce readers who do not have a technical background to better represent and research qualitative analyses
Fulfills a market need for an introductory level text that is applicable to many fields of study where modeling and simulation is viewed as a valuable training and analysis tool

Related Titles

More By These Authors

Modeling and Simulation in the Medical and Health Sciences

Modeling and Simulation Fundamentals: Theoretical Underpinnings and Practical Domains

Modeling and Simulation for Analyzing Global Events

Computational & Graphical Statistics

Smoothing of Multivariate Data: Density Estimation and Visualization

by Jussi Sakari Klemel�

SPSS For Dummies, 2nd Edition

by Arthur Griffith

Large-Scale Inverse Problems and Quantification of Uncertainty

by Lorenz Biegler (Editor), George Biros (Co-Editor), Omar Ghattas (Co-Editor), Matthias Heinkenschloss (Co-Editor), David Keyes (Co-Editor), Bani Mallick (Co-Editor), Luis Tenorio (Co-Editor), Bart van Bloemen Waanders (Co-Editor), Karen Willcox (Co-Editor), Youssef Marzouk (Co-Editor)

Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties

by Michael Sherman

Graphical Models: Representations for Learning, Reasoning and Data Mining, 2nd Edition

by Christian Borgelt, Matthias Steinbrecher, Rudolf R. Kruse