Modeling and Simulation in Python by Jason M. Kinser Hardcover Book

Description: Modeling and Simulation in Python by Jason M. Kinser Modeling and Simulation in Python introduces fundamental computational modeling techniques that are used in a variety of science and engineering disciplines. It emphasizes algorithmic thinking skills using different computational environments, and includes a number of interesting examples, including Shakespeare, movie databases, and virus spread. FORMAT Hardcover CONDITION Brand New Publisher Description The use of Python as a powerful computational tool is expanding with great strides. Python is a language which is easy to use, and the libraries of tools provides it with efficient versatility. As the tools continue to expand, users can create insightful models and simulations. While the tools offer an easy method to create a pipeline, such constructions are not guaranteed to provide correct results. A lot of things can go wrong when building a simulation - deviously so. Users need to understand more than just how to build a process pipeline.Modeling and Simulation in Python introduces fundamental computational modeling techniques that are used in a variety of science and engineering disciplines. It emphasizes algorithmic thinking skills using different computational environments, and includes a number of interesting examples, including Shakespeare, movie databases, virus spread, and Chess.Key Features:Several theories and applications are provided, each with working Python scripts.All Python functions written for this book are archived on GitHub.Readers do not have to be Python experts, but a working knowledge of the language is required. Students who want to know more about the foundations of modeling and simulation will find this an educational and foundational resource. Author Biography Jason M. Kinser is Chair of the Department of Computational and Data Sciences at George Mason University. Dr. Kinser has taught more than 30 different courses at Mason in several departments including Computational & Data Sciences, Physics, Bioinformatics, Forensics, and even Biology. His research interests include analysis of images, fusion of image content non-image data, and education. Table of Contents PrefaceSoftware1. Introduction2. Random Values3. Application of Random Values 4. The Monte Carlo Method5. Modeling Self-Organization 6. Hidden Markov Models7. Identification of Start Codons8. HMM Application in Baseball9. Hidden Shakespeare Model10. Connected Data11. Gene Expression Arrays12. Simultaneous Equations13. Simulations of Motion14. Oscillations15. Coupled Differential Equations16. Extraordinary Number of Solutions17. Agent Based Modeling - Virus Spread18. ChessBibliographyIndex Details ISBN103211648X Author Jason M. Kinser Publisher Taylor & Francis Ltd Year 2022 ISBN-10 103211648X ISBN-13 9781032116488 Format Hardcover Place of Publication London Country of Publication United Kingdom AU Release Date 2022-05-24 NZ Release Date 2022-05-24 Publication Date 2022-05-24 UK Release Date 2022-05-24 Illustrations 4 Tables, black and white; 170 Line drawings, black and white; 170 Illustrations, black and white DEWEY 003.3 Imprint Chapman & Hall/CRC Pages 314 Alternative 9781032793412 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:139825195;

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