Foundations and Methods of Stochastic Simulation: A First Course

This textbook covers modelling, programming, and analysis of stochastic computer simulation experiments, with object-oriented programming illustrated in Python and a solutions manual for end-of-chapter exercises. It is rigorous, complete, and concise, providing all necessary background material and preparing readers to use simulation in their research.

Format: Paperback / softback
Length: 313 pages
Publication date: 11 November 2022
Publisher: Springer Nature Switzerland AG

This comprehensive textbook, designed for advanced students, delves into the realm of modelling, programming, and analysis of stochastic computer simulation experiments. It encompasses the mathematical and statistical foundations of simulation, explaining its principles and mechanisms. While the book maintains a rigorous and thorough approach, it is also concise and accessible, ensuring that all necessary background material is provided.

Object-oriented programming of simulations is demonstrated using the Python programming language, although the majority of the content is programming language independent. In addition to covering the fundamentals of simulation and simulation programming for various applications, the text equips readers with the skills to utilize simulation in their research endeavors. An accompanying solutions manual for end-of-chapter exercises is available for instructors.

By exploring the complexities of modelling, programming, and analysing stochastic computer simulation experiments, this textbook offers a valuable resource for advanced students and researchers in the fields of computer science, engineering, and applied sciences.

Weight: 510g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030861964
Edition number: 2nd ed. 2021