Simulation of Complex Systems - Rilegato

Volpe, Giovanni,; Callegari, Agnese; Argun, Aykut

Rilegato

ISBN 10: 0750338415 ISBN 13: 9780750338417

Casa editrice: Inst of Physics Pub Inc, 2021

Riassunto

Ultra-Brief

This book provides the most fundamental and essential techniques to simulate complex systems, from the dynamics of molecules to the spreading of diseases, from optimization using ant colonies to the simulation of the Game of Life.

Su questo libro

Informazioni sugli autori

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.

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.

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).

Dettagli dell'edizione

• Editore: Inst of Physics Pub Inc
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 0750338415
• ISBN 13: 9780750338417
• Rilegatura: Copertina rigida
• Numero di pagine: 120
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile