Simulation of complex systems / Giovanni Volpe, Agnese Callegari, and Aykut Argun.

Format:

Book

Author/Creator:

Volpe, Giovanni, author.

Callegari, Agnese, author.

Argun, Aykut, author.

Contributor:

Institute of Physics (Great Britain), publisher.

Series:

IOP ebooks. 2021 collection.

IOP ebooks. [2021 collection]

Language:

English

Subjects (All):

Computer simulation.

Physical Description:

1 online resource (various pagings) : illustrations (some color).

Edition:

First edition.

Place of Publication:

Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2021]

System Details:

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.

Biography/History:

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. 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. Giovanni Volpe is a Professor at the Physics Department of the University of Gothenburg University, where he leads the Active Matter Group. His research interests include soft matter, optical trapping and manipulation, statistical mechanics, brain connectivity, and machine learning.

Summary:

This book deals with 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.

Contents:

1. Molecular dynamics

1.1. Single particle

1.2. Time reversibility

1.3. Multiple particles

1.4. Randomness

1.5. Further reading

1.6. Problems

1.7. Challenges

2. Ising model

2.1. Monte Carlo method

2.2. Ising model

2.3. Critical temperature

2.4. Critical mixtures

2.5. Further reading

2.6. Problems

2.7. Challenges

3. Forest fires

3.1. Forest growth and fire ignition

3.2. Power-law behavior

3.3. Further reading

3.4. Problems

3.5. Challenges

4. The game of life

4.1. One-dimensional cellular automata

4.2. Conway's game of life

4.3. Majority rule

4.4. Further reading

4.5. Problems

4.6. Challenges

5. Brownian dynamics

5.1. Random walks and universality

5.2. Discrete white noise

5.3. Brownian motion

5.4. Optical tweezers

5.5. Further reading

5.6. Problems

5.7. Challenges

6. Anomalous diffusion

6.1. Anomalous diffusion exponent

6.2. Regularization and normalization

6.3. Models of anomalous diffusion

6.4. Anomalous diffusion in a non-homogeneous force field

6.5. Further reading

6.6. Problems

6.7. Challenges

7. Multiplicative noise

7.1. A minimal discrete-time model

7.2. Position-dependent noise

7.3. Stochastic integrals

7.4. The spurious drift

7.5. Drift and diffusion measurement

7.6. Particles close to an interface

7.7. Further reading

7.8. Problems

7.9. Challenges

8. The Vicsek model

8.1. The standard Vicsek model

8.2. The effect of delay

8.3. Non-metric and non-reciprocal interactions

8.4. Further reading

8.5. Problems

8.6. Challenges

9. Living crystals

9.1. Active Brownian motion

9.2. Mean square displacement

9.3. Living crystals

9.4. Aligning interactions

9.5. Further reading

9.6. Problems

9.7. Challenges

10. Sensory delay

10.1. A light-sensitive robot

10.2. Single robot with a sensory delay

10.3. Multiple robots with sensory delay

10.4. Further reading

10.5. Problems

10.6. Challenges

11. Disease spreading

11.1. The agent-based SIR model

11.2. Disease transmission as a function of the infection rate

11.3. Extended SIR models

11.4. Lockdown strategies

11.5. Further reading

11.6. Problems

11.7. Challenges

12. Network models

12.1. The adjacency matrix

12.2. Path length, diameter, and clustering coefficient

12.3. Erdîos-Rényi random graphs

12.4. Watts-Strogatz small-world graphs

12.5. Albert-Barabási preferential-growth graphs

12.6. Further reading

12.7. Problems

12.8. Challenges

13. Evolutionary games

13.1. The prisoner's dilemma

13.2. Evolutionary games on a lattice

13.3. Multiple strategies

13.4. Further readings

13.5. Problems

13.6. Challenges

14. Ecosystems

14.1. Lotka-Volterra model

14.2. The logistic growth model

14.3. Mutualism

14.4. Competition

14.5. Further reading

14.6. Problems

14.7. Challenges

15. Ant-colony optimization

15.1. The minimum path length problem

15.2. Ants at work

15.3. Interruptions, accidents, and randomness

15.4. Further reading

15.5. Problems

15.6. Challenges

16. The Sugarscape

16.1. Models of segregation

16.2. The Sugarscape

16.3. Further reading

16.4. Problems

16.5. Challenges.

Notes:

"Version: 202112"--Title page verso.

Includes bibliographical references.

Title from PDF title page (viewed on January 18, 2022).

Description based on print version record.

ISBN:

9780750338424

0750338423

9780750338431

0750338431

OCLC:

1290483007