LEADER 03879nam 22006375 450 001 9910503008303321 005 20251113194727.0 010 $a3-030-79949-2 024 7 $a10.1007/978-3-030-79949-6 035 $a(CKB)4100000012037354 035 $a(MiAaPQ)EBC6735880 035 $a(Au-PeEL)EBL6735880 035 $a(OCoLC)1273001044 035 $a(PPN)258052570 035 $a(DE-He213)978-3-030-79949-6 035 $a(EXLCZ)994100000012037354 100 $a20210927d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistical Physics of Complex Systems $eA Concise Introduction /$fby Eric Bertin 205 $a3rd ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (303 pages) 225 1 $aSpringer Series in Synergetics,$x2198-333X 311 08$a3-030-79948-4 327 $aChapter 1. Equilibrium Statistical Physics -- Chapter 2. Non-equilibrium Dynamics and Stochastic Formalism -- Chapter 3. Models of particles driven out of equilibrium -- Chapter 4. Simple models of socials agents -- Chapter 5. Evolutionary dynamics -- Chapter 6. Complex networks -- Chapter 7. Statistical description of chaotic deterministic systems -- Chapter 8. A probabilistic viewpoint on fluctuations and rare events. 330 $aThis third edition of Statistical Physics of Complex Systems has been expanded to provide more examples of applications of concepts and methods from statistical physics to the modeling of complex systems. These include avalanche dynamics in materials, models of social agents like road traffic or wealth repartition, the real space aspects of biological evolution dynamics, propagation phenomena on complex networks, formal neural networks and their connection to constraint satisfaction problems. This course-tested textbook provides graduate students and non-specialists with a basic understanding of the concepts and methods of statistical physics and demonstrates their wide range of applications to interdisciplinary topics in the field of complex system sciences, including selected aspects of theoretical modeling in biology and the social sciences. It covers topics such as non-conserved particles, evolutionary population dynamics, networks, properties of both individual and coupled simple dynamical systems, and convergence theorems, as well as short appendices that offer helpful hints on how to perform simple stochastic simulations in practice. The original spirit of the book is to remain accessible to a broad, non-specialized readership. The format is a set of concise, modular, and self-contained topical chapters, avoiding technicalities and jargon as much as possible, and complemented by a wealth of worked-out examples, so as to make this work useful as a self-study text or as textbook for short courses. 410 0$aSpringer Series in Synergetics,$x2198-333X 606 $aSystem theory 606 $aDynamics 606 $aNonlinear theories 606 $aMathematical physics 606 $aComplex Systems 606 $aApplied Dynamical Systems 606 $aComplex Systems 606 $aTheoretical, Mathematical and Computational Physics 615 0$aSystem theory. 615 0$aDynamics. 615 0$aNonlinear theories. 615 0$aMathematical physics. 615 14$aComplex Systems. 615 24$aApplied Dynamical Systems. 615 24$aComplex Systems. 615 24$aTheoretical, Mathematical and Computational Physics. 676 $a530.13 700 $aBertin$b Eric$0814107 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910503008303321 996 $aStatistical Physics of Complex Systems$92543285 997 $aUNINA