Simulation with Python : develop simulation and modeling in natural sciences, engineering, and social sciences

Bibliographische Detailangaben

Titel
Simulation with Python develop simulation and modeling in natural sciences, engineering, and social sciences
verantwortlich
Li, Rongpeng (VerfasserIn); Nakano, Aiichiro (VerfasserIn)
veröffentlicht
New York, NY: Apress, [2022]
© 2022
Erscheinungsjahr
2022
Teil von
Springer eBook Collection
Erscheint auch als
Li, Rongpeng, Simulation with Python, New York : Apress, 2022, xv, 166 Seiten
Andere Ausgaben
Simulation with Python: develop simulation and modeling in natural sciences, engineering, and social sciences
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Zusammenfassung
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.
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 used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated. After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python. You will: Use Python and numerical computation to demonstrate the power of simulation Choose a paradigm to run a simulation Draw statistical insights from numerical experiments Know how simulation is used to solve real-world problems .
Umfang
1 Online-Ressource (xv, 166 Seiten); Illustrationen
Sprache
Englisch
Schlagworte
Python (Computer program language).
Artificial intelligence—Data processing.
Programming languages (Electronic computers).
RVK-Notation
  • Informatik
    • Monografien
      • Software und -entwicklung
        • Programmiersprachen
          • Einzelne Programmiersprachen (A-Z)
BK-Notation
54.53 Programmiersprachen
ISBN
9781484281857
DOI
10.1007/978-1-4842-8185-7