Modeling and Simulation in Python / Jason M. Kinser  

Public ISBD Titre : Modeling and Simulation in Python Type de document : document électronique Auteurs : Jason M. Kinser Editeur : Boca Raton : CRC Press Année de publication : 2021 Importance : 1 vol (314 p.) ISBN/ISSN/EAN : 978-1-00-059108-8 Langues : Français (fre) Catégories : Bibliothèque numérique:Informatique Mots-clés : Python (Computer program language) Computer simulation Index. décimale : 004 Informatique Résumé : 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 Note de contenu : TABLE OF CONTENTS Preface Software 1. Introduction 2. Random Values 3. Application of Random Values 4. The Monte Carlo Method 5. Modeling Self-Organization 6. Hidden Markov Models 7. Identification of Start Codons 8. HMM Application in Baseball 9. Hidden Shakespeare Model 10. Connected Data 11. Gene Expression Arrays 12. Simultaneous Equations 13. Simulations of Motion 14. Oscillations 15. Coupled Differential Equations 16. Extraordinary Number of Solutions 17. Agent Based Modeling - Virus Spread 18. Chess Bibliography Index Côte titre : E-Fs/0049 En ligne : https://sciences-courses.univ-setif.dz/login/index.php Modeling and Simulation in Python [document électronique] / Jason M. Kinser . - Boca Raton : CRC Press, 2021 . - 1 vol (314 p.). ISBN : 978-1-00-059108-8 Langues : Français (fre) Catégories : Bibliothèque numérique:Informatique Mots-clés : Python (Computer program language) Computer simulation Index. décimale : 004 Informatique Résumé : 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 Note de contenu : TABLE OF CONTENTS Preface Software 1. Introduction 2. Random Values 3. Application of Random Values 4. The Monte Carlo Method 5. Modeling Self-Organization 6. Hidden Markov Models 7. Identification of Start Codons 8. HMM Application in Baseball 9. Hidden Shakespeare Model 10. Connected Data 11. Gene Expression Arrays 12. Simultaneous Equations 13. Simulations of Motion 14. Oscillations 15. Coupled Differential Equations 16. Extraordinary Number of Solutions 17. Agent Based Modeling - Virus Spread 18. Chess Bibliography Index Côte titre : E-Fs/0049 En ligne : https://sciences-courses.univ-setif.dz/login/index.php

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