1st Edition
by John A. Sokolowski (Author), Catherine M. Banks (Author)
An insightful presentation of the key concepts, paradigms, and applications of modeling and simulation
Modeling
and simulation has become an integral part of research and development
across many fields of study, having evolved from a tool to a discipline
in less than two decades. Modeling and Simulation Fundamentals
offers a comprehensive and authoritative treatment of the topic and
includes definitions, paradigms, and applications to equip readers with
the skills needed to work successfully as developers and users of
modeling and simulation.
Featuring contributions written by
leading experts in the field, the book's fluid presentation builds from
topic to topic and provides the foundation and theoretical underpinnings
of modeling and simulation. First, an introduction to the topic is
presented, including related terminology, examples of model development,
and various domains of modeling and simulation. Subsequent chapters
develop the necessary mathematical background needed to understand
modeling and simulation topics, model types, and the importance of
visualization. In addition, Monte Carlo simulation, continuous
simulation, and discrete event simulation are thoroughly discussed, all
of which are significant to a complete understanding of modeling and
simulation. The book also features chapters that outline sophisticated
methodologies, verification and validation, and the importance of
interoperability. A related FTP site features color representations of
the book's numerous figures.
Modeling and Simulation Fundamentals
encompasses a comprehensive study of the discipline and is an excellent
book for modeling and simulation courses at the upper-undergraduate and
graduate levels. It is also a valuable reference for researchers and
practitioners in the fields of computational statistics, engineering,
and computer science who use statistical modeling techniques.
