Giovanni Volpe, Agnese Callegari, Aykut Argun

Simulation of Complex Systems (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Back Cover Copy

This book deals with the simulation of complex systems.

Complex systems are made of many components interacting with each other. Several natural systems found in physics, biology and engineering can be considered complex systems, because their behaviour is not easily predictable being the result of complex interactions among their constituents. Examples of complex systems are a cell with its organelles, an organ, the human brain, social networks, transportation and communication systems, the stock market, ecosystems, systems with prey and predators, a swarm of bees.

In this book the authors explain the most used and effective numerical simulation techniques to approach a variety of complex systems that are of fundamental importance in physics, biology, engineering, social sciences, and economics. The format of the book, organised in self-contained chapters, with exercises and references, is ideal for the student who wants to gain knowledge on a specific topic by learning how to simulate it. The book's hands-on approach (at Undergraduate and Graduate level) will provide insight and experience to the reader engaging actively with the proposed numerical exercises. Complemented by supplementary example codes and video tutorials, the book is also appropriate for self-study. The "bottom-up" approach is innovative and allows the reader to conduct numerical experiments to explore the system's behaviour.

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Produktdetails

• Verlag: Institute of Physics Publishing
• Seitenzahl: 150
• Erscheinungstermin: 29. Dezember 2021
• Englisch
• ISBN-13: 9780750338431
• Artikelnr.: 63266893

Autorenporträt

Author Bios

Giovanni Volpe

Giovanni Volpe is a Professor at the Physics Department of the University of Gothenburg University, where he leads the Soft Matter Lab. His research interests include soft matter, active matter, optical trapping and manipulation, statistical mechanics, brain connectivity, and machine learning. He has authored more than 100 articles and reviews on soft matter, statistical physics, optics, physics of complex systems, brain network analysis, and machine learning. He co-authored the book "Optical Tweezers: Principles and Applications" (Cambridge University Press, 2015). He has developed several software packages (Optical Tweezers Software, Braph - Brain Analysis Using Graph Theory, DeepTrack, DeepCalib).

Agnese Callegari

Agnese Callegari is a researcher at the Physics Department of Gothenburg University. Her research interests are optical trapping and manipulation, statistical physics, soft matter, active matter. She has authored 14 publications, and she has extensive experience in numerical simulations. She has been teaching basic physics courses for scientists and engineers.

Aykut Argun

Aykut Argun is a PhD student in Physics at Gothenburg University. His research interests are optical trapping and manipulation, statistical physics, soft matter, active matter, machine learning technique applied to experimental data Analysis. He has authored 8 publications, and he has served several years as a teaching assistant in courses like "Simulation of complex systems", "Optical trapping", "Statistical physics." He has a solid experience in teaching and explaining physics to high school, undergraduate and graduate students.