Simulation of Complex Systems (eBook, ePUB)
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Back Cover CopyThis 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 t...
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.
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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