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Titre : | Modeling and simulation in Python |
Auteurs : | Jason M. Kinser |
Type de document : | texte imprimé |
Mention d'édition : | First edition. |
Editeur : | New york [U.S.A.] : CRC press, 2022 |
ISBN/ISSN/EAN : | 978-1-03-211648-8 |
Format : | 314p. / couv. ill. en coul.; ill. / 24cm |
Langues: | Anglais |
Langues originales: | Anglais |
Index. décimale : | 005.133 (Langages de programmation particuliers: ASP.NET, C, C#, C++, Java, JavaScript, MicroSoft Visual BASIC, PHP, Python, SQL, XSLT.) |
Catégories : | |
Mots-clés: | Simulation Python ; Modeling Python |
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. 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 : |
Contents:
Chapter 1:Introduction Chapter 2: Random Values Chapter 3: Application of Random Values Chapter 4: The Monte Carlo Method Chapter 5: Modeling Self-Organization Chapter 6: Hidden Markov Models Chapter 7: Identification of Start Codons Chapter 8: HMM Application in Baseball Chapter 9: Hidden Shakespeare Model Chapter10: Connected Data Chapter 11: Gene Expression Arrays Chapter 12: Simultaneous Equations Chapter 13: Simulations of Motion Chapter 14: Oscillations Chapter 15: Coupled Differential Equations Chapter 16: Extraordinary Number of Solutions Chapter 17: Agent Based Modeling − Virus Spread Chapter 18: Chess |
Exemplaires (1)
Cote | Support | Localisation | Section | Disponibilité |
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F8/12714 | Livre | Bibliothèque de la Faculté de Technologie | Section documentaire | Disponible |