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Books on the topic 'Dynamical transition'

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Author: Grafiati

Published: 14 March 2023

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1

Reithmeier, Eduard. Periodic solutions of nonlinear dynamical systems: Numerical computation, stability, bifurcation, and transition to chaos. Berlin: Springer-Verlag, 1991.

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2

Phase transition dynamics. Cambridge: Cambridge University Press, 2002.

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3

Ma, Tian, and Shouhong Wang. Phase Transition Dynamics. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29260-7.

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4

Ma, Tian, and Shouhong Wang. Phase Transition Dynamics. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-8963-4.

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5

Park, Kyung-Ae, and Dalchoong Kim, eds. Korean Security Dynamics in Transition. New York: Palgrave Macmillan US, 2001. http://dx.doi.org/10.1057/9780230107465.

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6

Karafili, Elona. Cluster Dynamics in Transition Economies. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69842-3.

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7

1955-, Park Kyung-Ae, and Kim Tal-chung, eds. Korean security dynamics in transition. New York: Palgrave, 2001.

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8

Hölscher, Jens. Social cohesion and transition dynamics. Berlin-Dahlem: Institut für Wirtschaftspolitik und Wirtschaftsgeschichte, 1996.

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9

Lippert, E., and J. D. Macomber, eds. Dynamics During Spectroscopic Transitions. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79407-0.

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10

Yousuff, Hussaini M., Voigt Robert G, Institute for Computer Applications in Science and Engineering., and Langley Research Center, eds. Instability and transition. New York: Springer-Verlag, 1990.

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11

Yousuff, Hussaini M., Gatski T. B, Jackson Thomas L. 1957-, and Workshop on Transition, Turbulence and Combustion (1993), eds. Transition, turbulence and combustion. Dordrecht: Kluwer Academic Publishers, 1994.

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12

Dynamics of transition metals and alloys. Commack, N.Y: Nova Science Publishers, 1998.

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13

Latell, Brian. The Cuban military and transition dynamics. Coral Gables, Florida: Institute for Cuban and Cuban-American Studies, University of Miami, 2003.

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14

Stewart, Mark B. Low pay dynamics and transition probabilities. Coventry: University of Warwick, Department of Economics, 1997.

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15

Hussaini, M. Y. Instability, Transition, and Turbulence. New York, NY: Springer New York, 1992.

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16

Youssef, Nadia Haggag. Changing population dynamics on Staten Island: The transition from homogeneity to racial and ethnic diversity. New York: Center for Migration Studies, 1991.

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17

Dynamics of mass communication: Media in transition. New York: McGraw-Hill Higher Education, 2010.

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18

Ernst, Lippert, and Macomber James D. 1939-, eds. Dynamics during spectroscopic transitions: Basic concepts. Berlin: Springer Verlag, 1995.

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19

Kerr, Don. Population dynamics in Canada. Ottawa: Statistics Canada, 1994.

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20

Richard, Leete, ed. Dynamics of values in fertility change. Oxford [England]: Oxford University Press, 1999.

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21

Harald, Hagemann, and Scazzieri Roberto, eds. Capital, time, and transitional dynamics. New York: Routledge, 2008.

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22

Workshop, on Instability and Transition (1989 Hampton Virginia). Instability and transition: Materials of the workshop held May 15-June 9, 1989 in Hampton, Virginia. New York: Springer-Verlag, 1990.

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23

Donaldson, Loraine. Fertility transition: The social dynamics of population change. Cambridge, Mass., USA: B. Blackwell, 1991.

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24

Cheng, Sin-I. Rarified-continuum gas dynamics transition for SUMS project. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.

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25

The dynamics of mass communication: Media in transition. New York: McGraw-Hill, 2012.

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26

Cheng, Sin-I. Rarified-continuum gas dynamics transition for SUMS project. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.

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27

Completing the fertility transition. New York, N.Y: United Nations, 2009.

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28

Yousuff, Hussaini M., Kumar Ajay, and Streett Craig L, eds. Instability, transition, and turbulence. New York: Springer-Verlag, 1992.

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29

Musu, Ignazio. Transitional dynamics to optimal sustainable growth. London: Centre for Economic Policy Research, 1996.

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30

He, Rong. An analysis of transition to chaos and chaotic synchronization. 1994.

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31

Wagner, S., Markus Kloker, and Ulrich Rist. Recent results in laminar-turbulent transition: Selected numerical and experimental contributions from the DFG Priority Programme 'Transition' in Germany. Edited by DFG-Verbundschwerpunktprogramm. 2004.

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32

Sengupta, Tapan K. Transition to Turbulence: A Dynamical System Approach to Receptivity. Cambridge University Press, 2021.

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33

Sengupta, Tapan Kumar. Transition to Turbulence: A Dynamical System Approach to Receptivity. University of Cambridge ESOL Examinations, 2021.

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34

Reichl, Linda. Transition to Chaos: Conservative Classical and Quantum Systems. Springer International Publishing AG, 2022.

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35

Reichl, Linda. Transition to Chaos: Conservative Classical and Quantum Systems. Springer International Publishing AG, 2021.

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36

Invariant Probabilities of Transition Functions. Springer, 2014.

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37

Reichl, Linda. Transition to Chaos: Conservative Classical Systems and Quantum Manifestations. Springer New York, 2013.

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38

Reithmeier, Eduard. Periodic Solutions of Nonlinear Dynamical Systems: Numerical Computation, Stability, Bifurcation and Transition to Chaos. Springer London, Limited, 2006.

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39

Borsboom, Denny. Mental disorders, network models, and dynamical systems. Edited by Kenneth S. Kendler and Josef Parnas. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198796022.003.0011.

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Abstract:

Network approaches have been proposed as an alternative way of thinking about relations between symptoms of mental disorders. Unlike traditional psychometric approaches, network models view these associations as the result of direct interactions between symptoms. Disorders are defined as alternative stable states of a network due to increased connectivity between symptoms. This increased connectivity creates a pattern of reinforcement, so the system can get stuck in a state of prolonged activation. Mental health is defined as the stable state of a weakly connected network. Although symptomatology may be temporarily increased in a healthy network (e.g., due to adverse life events), as the influence of a shock wanes the network will spontaneously return to its healthy state. Strongly connected networks, however, may transition into disordered states upon similar external shocks, and may not naturally recover. Thus, the proposed definitions yield plausible conceptualizations of resilience and vulnerability.

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40

Henriksen, Niels Engholm, and Flemming Yssing Hansen. Dynamic Solvent Effects: Kramers Theory and Beyond. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805014.003.0011.

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This chapter discusses dynamical solvent effects on the rate constants for chemical reactions in solution. The effect is described by stochastic dynamics, where the influence of the solvent on the reaction dynamics is included by describing the motion along the reaction coordinate as Brownian motion. Two theoretical approaches are discussed: Kramers theory with a constant time-independent solvent friction coefficient and Grote–Hynes theory, a generalization of Kramers theory, based on the generalized Langevin equation with a time-dependent solvent friction coefficient. The expressions for the rate constants have the same form as in transition-state theory, but are multiplied by transmission coefficients that incorporate the dynamical solvent effect. In the limit of fast motion along the reaction coordinate, the solvent molecules can be considered as “frozen,” and the predictions of the Grote–Hynes theory can differ from the Kramers theory by several orders of magnitude.

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41

Onuki, Akira. Phase Transition Dynamics. Cambridge University Press, 2005.

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42

Wang, Shouhong, and Tian Ma. Phase Transition Dynamics. Springer, 2019.

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43

O¯nuki, Akira. Phase Transition Dynamics. Cambridge University Press, 2002.

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44

Wang, Shouhong, and Tian Ma. Phase Transition Dynamics. Springer, 2013.

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45

Onuki, Akira. Phase Transition Dynamics. Cambridge University Press, 2007.

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46

Wang, Shouhong, and Tian Ma. Phase Transition Dynamics. Springer, 2013.

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47

Onuki, Akira. Phase Transition Dynamics. Cambridge University Press, 2002.

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48

Onuki, Akira. Phase Transition Dynamics. Cambridge University Press, 2002.

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49

Wang, Shouhong, and Tian Ma. Phase Transition Dynamics. Springer New York, 2016.

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50

Onuki, Akira. Phase Transition Dynamics. Cambridge University Press, 2009.

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