Mathematical Models and Computer Simulation: Essentials

A Handbook of Mathematical Models with Python by Ranja Sarkar Master the art of mathematical modeling through practical examples, use cases, and machine learning techniques. This book is ideal for emerging data scientists looking to enhance their analytical skills, as well as seasoned professionals seeking to refine their expertise in mathematical modeling and machine learning integration.

Introduction to Modeling and Simulation by Mark W. Spong This new introductory-level textbook provides thirteen self-contained chapters, each covering an important topic in engineering systems modeling and simulation. The importance of such a topic cannot be overstated; modeling and simulation will only increase in importance in the future as computational resources improve and become more powerful and accessible, and as systems become more complex. This resource is a wonderful mix of practical examples, theoretical concepts, and experimental sessions that ensure a well-rounded education on the topic.

Simulation and Wargaming by Charles Turnitsa (Editor); Curtis Blais (Editor); Andreas Tolk (Editor) Based on the insights of experts in both domains, Simulation and Wargaming comprehensively explores the intersection between computer simulation and wargaming. This book shows how the practice of wargaming can be augmented and provide more detail-oriented insights using computer simulation, particularly as the complexity of military operations and the need for computational decision aids increases.