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Springer Foundations and Methods of Stochastic Simulation 316

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Description

Master the mathematical and statistical foundations of stochastic computer simulation with this graduate-level textbook from Springer. Part of the International Series in Operations Research & Management Science, this book provides a rigorous yet accessible approach to modeling, programming, and analyzing simulation experiments. Readers will gain a deep understanding of why simulation works through complete background material. The text features object-oriented programming illustrations in Python, while maintaining a programming language independent approach for the majority of the content. This resource is designed to prepare students and professionals to use simulation effectively in various applications, making it a foundational text for those studying applied mathematics and operations research.

Key Features

Covers the mathematical and statistical foundations of stochastic computer simulation experiments.

Includes object-oriented programming illustrations using the Python language.

Provides a rigorous and complete guide that remains concise and accessible for graduate-level study.

Offers programming language independent content for the majority of the textbook.

Part of the International Series in Operations Research & Management Science, volume 316 by Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
12 November 2022
Listed Since
17 October 2022

Barcode

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