Simulation with Python develop simulation and modeling in natural sciences, engineering, and social sciences
Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and rich visualizations and tabulations. The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms us...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Apress
[2022]
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009676326906719 |
Tabla de Contenidos:
- Chapter 1: Calculating Pi and Beyond: Searching Order in Disorder with Simulation Chapter 2: Markov Chain: A Peek into the Future. Chapter 3: Multi-Armed Bandits: Probability Simulation and Bayesian Statistics Chapter 4: Balls in 2D Box: A Simplest Physics Engine Chapter 5: Percolation: Threshold and Phase Change Chapter 6: Queuing System: How Stock Trades are Made Chapter 7: Rock, Scissor and Paper: Multi-Agent Simulation Chapter 8: Matthew Effect and Tax Policy: Why the Rich Keeps Getting RicherChapter 9: Misinformation Spreading: Simulation on a Graph (Centrality, Networkx) Chapter 10: Simulated Annealing and Genetic Algorithm
