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001 9780750338431
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020 _a9780750338431
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020 _a9780750338424
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020 _z9780750338448
_qmyPrint
024 7 _a10.1088/978-0-7503-3843-1
_2doi
035 _a(CaBNVSL)thg00083133
035 _a(OCoLC)1290483007
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aQA76.9.C65
_bA747 2021eb
072 7 _aPHS
_2bicssc
072 7 _aSCI040000
_2bisacsh
082 0 4 _a003.3
_223
100 1 _aArgun, Aykut,
_eauthor.
_970607
245 1 0 _aSimulation of complex systems /
_cAykut Argun, Agnese Callegari and Giovanni Volpe.
264 1 _aBristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :
_bIOP Publishing,
_c[2021]
300 _a1 online resource (various pagings) :
_billustrations (some color).
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _a[IOP release $release]
490 1 _aIOP ebooks. [2021 collection]
500 _a"Version: 202112"--Title page verso.
504 _aIncludes bibliographical references.
505 0 _a1. 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
505 8 _a2. 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
505 8 _a3. Forest fires -- 3.1. Forest growth and fire ignition -- 3.2. Power-law behavior -- 3.3. Further reading -- 3.4. Problems -- 3.5. Challenges
505 8 _a4. 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
505 8 _a5. 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
505 8 _a6. 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
505 8 _a7. 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
505 8 _a8. 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
505 8 _a9. 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
505 8 _a10. 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
505 8 _a11. 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
505 8 _a12. Network models -- 12.1. The adjacency matrix -- 12.2. Path length, diameter, and clustering coefficient -- 12.3. Erd�ios-R�enyi random graphs -- 12.4. Watts-Strogatz small-world graphs -- 12.5. Albert-Barab�asi preferential-growth graphs -- 12.6. Further reading -- 12.7. Problems -- 12.8. Challenges
505 8 _a13. 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
505 8 _a14. 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
505 8 _a15. 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
505 8 _a16. The Sugarscape -- 16.1. Models of segregation -- 16.2. The Sugarscape -- 16.3. Further reading -- 16.4. Problems -- 16.5. Challenges.
520 3 _aThis 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.
521 _aUndergraduate and graduate students.
530 _aAlso available in print.
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
545 _aAykut 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.
588 0 _aTitle from PDF title page (viewed on January 18, 2022).
650 0 _aComputer simulation.
_95106
650 0 _aComputational complexity.
_93729
650 7 _aStatistical physics.
_2bicssc
_93234
650 7 _aMathematics and computation.
_2bisacsh
_970439
700 1 _aCallegari, Agnese,
_eauthor.
_970608
700 1 _aVolpe, Giovanni
_c(Physicist),
_eauthor.
_970609
710 2 _aInstitute of Physics (Great Britain),
_epublisher.
_911622
776 0 8 _iPrint version:
_z9780750338417
_z9780750338448
830 0 _aIOP (Series).
_pRelease 21.
_970610
830 0 _aIOP ebooks.
_p2021 collection.
_970611
856 4 0 _uhttps://iopscience.iop.org/book/978-0-7503-3843-1
942 _cEBK
999 _c82871
_d82871