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Li, Rongpeng VerfasserIn aut, Simulation with Python develop simulation and modeling in natural sciences, engineering, and social sciences Rongpeng Li, Aiichiro Nakano, New York, NY Apress [2022], © 2022, 1 Online-Ressource (xv, 166 Seiten) Illustrationen, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Springer eBook Collection, 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 ., Python (Computer program language)., Artificial intelligence—Data processing., Programming languages (Electronic computers)., Nakano, Aiichiro VerfasserIn aut, 9781484281840, 9781484281864, Erscheint auch als Druck-Ausgabe Li, Rongpeng Simulation with Python New York : Apress, 2022 xv, 166 Seiten (DE-627)1815896914 9781484281840, Erscheint auch als Druck-Ausgabe 9781484281864, https://doi.org/10.1007/978-1-4842-8185-7 X:SPRINGER Resolving-System lizenzpflichtig |
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Li, Rongpeng, Nakano, Aiichiro, Simulation with Python: develop simulation and modeling in natural sciences, engineering, and social sciences, 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 ., Python (Computer program language)., Artificial intelligence—Data processing., Programming languages (Electronic computers). |
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Simulation with Python: develop simulation and modeling in natural sciences, engineering, and social sciences |
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Simulation with Python develop simulation and modeling in natural sciences, engineering, and social sciences |
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Simulation with Python develop simulation and modeling in natural sciences, engineering, and social sciences Rongpeng Li, Aiichiro Nakano |
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Simulation with Python develop simulation and modeling in natural sciences, engineering, and social sciences Rongpeng Li, Aiichiro Nakano |
| title_full_unstemmed |
Simulation with Python develop simulation and modeling in natural sciences, engineering, and social sciences Rongpeng Li, Aiichiro Nakano |
| title_short |
Simulation with Python |
| title_sort |
simulation with python develop simulation and modeling in natural sciences, engineering, and social sciences |
| title_sub |
develop simulation and modeling in natural sciences, engineering, and social sciences |
| title_unstemmed |
Simulation with Python: develop simulation and modeling in natural sciences, engineering, and social sciences |
| topic |
Python (Computer program language)., Artificial intelligence—Data processing., Programming languages (Electronic computers). |
| topic_facet |
Python (Computer program language)., Artificial intelligence—Data processing., Programming languages (Electronic computers). |
| url |
https://doi.org/10.1007/978-1-4842-8185-7 |
| work_keys_str_mv |
AT lirongpeng simulationwithpythondevelopsimulationandmodelinginnaturalsciencesengineeringandsocialsciences, AT nakanoaiichiro simulationwithpythondevelopsimulationandmodelinginnaturalsciencesengineeringandsocialsciences |