Modeling and Simulation in Science, Technology and Engineering

A model is a representation of a system made of concepts, mathematical formulas and calculations to predict and understand the data. A model can be physical or conceptual. Simulation is the implementation of model to study the behavior and performance of a system. It allows systems to optimize and predict. Modeling and simulation have broad spectrum of applications in other areas. Some of these are system engineering, training and education support, and analysis support. Scientific models are used to explain and predict behavior of real objects, for instance, predicting model for weather forecasting, drug design, urban planning, describing dual nature of wave, Bohr atomic model, DNA double helix model, projecting health outcomes of diseases, etc. Simulation is majorly used in analyzing and experimentation such as in performance tuning or optimizing, safety engineering, testing, training, education and video games. This book elucidates new techniques and their applications in a multidisciplinary manner. It studies, analyzes and upholds the pillars of modeling and simulation and its utmost significance in modern times. The extensive content of this book provides the readers with a thorough understanding of the subject.