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Books on the topic 'Dynamic chaos'

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Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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1

Zaslavskiĭ, G. M. Chaos in dynamic systems. Chur: Harwood Academic, 1985.

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2

Chaos in dynamic systems. Chur: Harwood Academic Publishers, 1985.

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3

Faghih, Nezameddin. Chaos and Fractals in Dynamic Systems. Tehran: University of Technology, 2003.

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4

T. V. S. M. olde Scheper. Chaos and information in dynamic neural networks. Oxford: Oxford Brookes University, 2002.

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5

G, Malliaris A., ed. Differential equations, stability, and chaos in dynamic economics. Amsterdam: North-Holland, 1989.

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6

Geert, Paul van. Dynamic systems of development: Change between complexity and chaos. New York: Harvester Wheatsheaf, 1994.

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7

The dynamic nature of ecosystems: Chaos and order entwined. Chichester: Wiley, 1995.

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8

The art of modeling dynamic systems: Forecasting for chaos, randomness, and determinism. New York: Wiley, 1991.

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9

Friedman, Lisa. The dynamic enterprise: Tools for turning chaos into strategy and strategy into action. San Francisco, Calif: Jossey-Bass, 1998.

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10

1943-, Jodl H. J., ed. Chaos: A program collection for the PC. 2nd ed. Berlin: Springer, 1999.

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11

1943-, Jodl H. J., ed. Chaos: A program collection for the PC. Berlin: Springer-Verlag, 1994.

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12

Robinson, Clark. Dynamical systems: Stability, symbolic dynamics, and chaos. Boca Raton, Fla: CRC Press, 1995.

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13

Robinson, Clark. Dynamical systems: Stability, symbolic dynamics, and chaos. 2nd ed. Boca Raton, Fla: CRC Press, 1999.

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14

Dynamical systems: Stability, symbolic dynamics, and chaos. 2nd ed. Boca Raton, Fla: CRC Press, 1999.

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15

Dynamical systems: Stability, symbolic dynamics, and chaos. Boca Raton: CRC Press, 1995.

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16

North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Nonlinear dynamics and chaos. Neuilly-sur-Seine, France: AGARD, 1993.

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17

Instabilities, chaos and turbulence. 2nd ed. London: Imperial College Press, 2010.

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18

B, Stewart H., ed. Nonlinear dynamics and chaos. 2nd ed. New York: Wiley, 2002.

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19

Metzler, Wolfgang. Nichtlineare Dynamik und Chaos. Wiesbaden: Vieweg+Teubner Verlag, 1998. http://dx.doi.org/10.1007/978-3-322-80098-5.

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20

Nonlinear dynamics and chaos: Advances and perspectives. Heidelberg: Springer, 2010.

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21

Santhidevi, V. DYNAMICS SIMULATION AND CHAOS: Exploration of Dynamics. Saarbrucken,Germany: LAP LAMBERT Academic Publishing, 2010.

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22

Michael, Sonis, ed. Chaos and socio-spatial dynamics. New York: Springer-Verlag, 1990.

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23

Sakata, F. Nuclear collective dynamics and chaos. Tanashi, Tokyo, Japan: Institute for Nuclear Study, University of Tokyo, 1992.

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24

Akhmet, Marat, Mehmet Onur Fen, and Ejaily Milad Alejaily. Dynamics with Chaos and Fractals. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35854-9.

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25

Volchenkov, Dimitri, ed. Nonlinear Dynamics, Chaos, and Complexity. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9034-4.

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26

Wimberger, Sandro. Nonlinear Dynamics and Quantum Chaos. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06343-0.

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27

Dendrinos, Dimitrios S., and Michael Sonis. Chaos and Socio-Spatial Dynamics. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-0991-1.

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28

McCauley, Joseph L. Chaos, dynamics and fractals: An algorithmic approach todeterministic chaos. Cambridge: Cambridge University Press, 1993.

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29

Chaos in dynamical systems. 2nd ed. Cambridge, U.K: Cambridge University Press, 2002.

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30

Anishchenko, V. S. Dynamical chaos: Basic concepts. Leipzig: Teubner Verlagsgellschaft, 1987.

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31

Ott, Edward. Chaos in dynamical systems. Cambridge [England]: Cambridge University Press, 1993.

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32

Floris, Takens, ed. Dynamical systems and chaos. New York: Springer, 2011.

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33

Broer, Henk, and Floris Takens. Dynamical Systems and Chaos. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6870-8.

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34

Anishchenko, V. S. Dynamical chaos, basic concepts. Leipzig: Teubner, 1987.

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35

service), SpringerLink (Online, ed. Hyperbolic Chaos: A Physicist’s View. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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36

McCauley, Joseph L. Chaos, dynamics, and fractals: An algorithmic approach to deterministic chaos. Cambridge: Cambridge University Press, 1993.

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37

Bhattacharjee, J. K. Convection and chaos in fluids. Singapore: World Science, 1987.

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38

1935-, Sinaĭ I͡A︡kov Grigorʹevich, and Baladi Viviane, eds. Classical nonintegrability, quantum chaos. Basel: Birkhäuser Verlag, 1997.

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39

Lakshmanan, M. Nonlinear Dynamics: Integrability, Chaos and Patterns. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003.

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40

1963-, Rajasekar S., ed. Nonlinear dynamics: Integrability, chaos, and patterns. Berlin: Springer, 2003.

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41

Szemplinska-Stupnicka, W., and H. Troger, eds. Engineering Applications of Dynamics of Chaos. Vienna: Springer Vienna, 1991. http://dx.doi.org/10.1007/978-3-7091-2610-3.

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42

Dynamic Fuzzy Systems and Chaos Applications. CRC, 2004.

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43

Miller, Richard K., and Terri C. Walker. Chaos fractals & non-linear dynamic systems. Future Technology Surveys, 1989.

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44

Devaney, Robert, and Jonathan Choate. Chaos (The Tool Kit of Dynamic Activities). Key Curriculum, 2000.

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45

Schuldberg, David, Ruth Richards, and Shan Guisinger, eds. Chaos and Nonlinear Psychology. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780190465025.001.0001.

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This book, for psychologists, clinicians, social scientists, and the general reader, reveals how chaos and nonlinear dynamics can bring new understanding to everyday topics in social sciences. Contributors are leaders in the intersection of psychology and chaos and complexity theories. Written first for the curious and the nonspecialist, while adding areas for those with a more extensive background, this book offers openness and creative wonder. It is conceptual and user-friendly, built around six themes—which are the main learnings for readers. These are (1) seeing nonlinearity, (2) appreciating emergence, (3) finding patterns, (4) using simple models, (5) intervening nonlinearly, and (6) considering new worldviews. It takes no specialized study—although there is more sophisticated material and optional math for those wishing it; the techie will, in addition, find concepts and diagrams to ponder. The volume intends to engage, at times may startle—whether about the weather, internet, organizations, family dynamics, health, evolution, or falling in love. It reveals how many social, personal, clinical, research, and life phenomena become understandable and can be modeled in the light of nonlinear dynamical systems theory. It even offers a broadening worldview, happening already in other sciences, toward a more dynamic, interconnected, and evolving picture, including process-oriented appreciation of one’s own experience. Readers meet the themes in different guises while learning to read subtle signs and patterns, and intervene like an aikido master in the flow of our dynamic world. The themes, are woven throughout diverse applications and extended in the integrative conclusions.

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46

Managing Chaos: Dynamic Business Strategies in an Unpredictable World. Kogan Page, 1992.

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47

The Art of Modeling Dynamic Systems: Forecasting for Chaos, Randomness, and Determinism. Dover Publications, 2008.

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48

Murray, Tobak, and Ames Research Center, eds. An algebraic criterion for the onset of chaos in nonlinear dynamic systems. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1987.

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49

Murray, Tobak, and Ames Research Center, eds. An algebraic criterion for the onset of chaos in nonlinear dynamic systems. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1987.

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50

Huffaker, Ray, Marco Bittelli, and Rodolfo Rosa. The Features of Chaos. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782933.003.0004.

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In this chapter we introduce the features of Chaotic systems. We describe “sensitivity to initial conditions” and its quantitative measure, the Lyapunov exponent, which reflect the average rate of divergence (if any) between two neighboring trajectories. We describe the dynamic “strangeness” of the system. Which has its counterpart in the “strangeness” of the attractor's geometry and concerns with the texture woven by the system in phase space. Fractal dimensions are measures of such strange geometries and they are here described. The concept of recurrence is introduced and the recurrence plot is described, and code provided to generate it. The correlation dimension is addressed and the R code to compute is listed and detailed. Poincare map is introduced and applied to the study of the damped, driven pendulum.

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