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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Li, Rongpeng (Author)
Other Authors: Nakano, Aiichiro
Format: Electronic eBook
Language:Inglés
Published: [Berkeley, CA] : Apress L.P., [2022]
Subjects:
Python (Computer program language)
Computer simulation.
Simulation methods.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • 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 Richer
  • Chapter 9: Misinformation Spreading: Simulation on a Graph (Centrality, Networkx)
  • Chapter 10: Simulated Annealing and Genetic Algorithm.

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