Relevant bibliographies by topics / Chaos theory

Academic literature on the topic 'Chaos theory'

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Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "Chaos theory"

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Bates, Jane. "Chaos theory." Nursing Standard 28, no. 41 (June 11, 2014): 26–27. http://dx.doi.org/10.7748/ns.28.41.26.s30.

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Sereno, Prartho. "Chaos Theory." Radical Teacher 122 (April 28, 2022): 105–6. http://dx.doi.org/10.5195/rt.2022.997.

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This poem is part of a series using scientific concepts for messy (& glorious) human experiences; it is part of a recently completed manuscript STARFALL IN THE TEMPLE OF SAD GOODBYES. Prartho's bio: Prartho Sereno served as fourth Poet Laureate of Marin County, 2015—17. She has taught poem-making to children as a Poet in the Schools since 1999 and for over 12 years to adults at the College of Marin. Her four prizewinning poetry collections include Indian Rope Trick, Elephant Raga, Call from Paris, and her illustrated collection, Causing a Stir: The Secret Lives and Loves of Kitchen Utensils.
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GOLDENSOHN, BARRY. "CHAOS THEORY." Yale Review 107, no. 2 (2019): 86. http://dx.doi.org/10.1353/tyr.2019.0065.

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Moore, Alison. "Chaos theory." Nursing Standard 15, no. 31 (April 18, 2001): 14–16. http://dx.doi.org/10.7748/ns.15.31.14.s27.

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Manning-Morton, Julia. "Chaos theory." Nursery World 2015, no. 9 (May 4, 2015): 26–27. http://dx.doi.org/10.12968/nuwa.2015.9.26.

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Lafollette, Hugh, and Niall Shanks. "Chaos Theory." Idealistic Studies 24, no. 3 (1994): 241–54. http://dx.doi.org/10.5840/idstudies199424317.

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Devaney, R. L. "Chaos Theory." Science 260, no. 5111 (May 21, 1993): 1173. http://dx.doi.org/10.1126/science.260.5111.1173.

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Bates, Jane. "Chaos theory." Nursing Standard 28, no. 28 (March 12, 2014): 26–27. http://dx.doi.org/10.7748/ns2014.03.28.28.26.s31.

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McGuire, Elaine. "Chaos Theory." JONA: The Journal of Nursing Administration 29, no. 2 (February 1999): 8–9. http://dx.doi.org/10.1097/00005110-199902000-00004.

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Diggs, Walter W. "Chaos Theory." JONA: The Journal of Nursing Administration 29, no. 7/8 (July 1999): 8. http://dx.doi.org/10.1097/00005110-199907000-00005.

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Dissertations / Theses on the topic "Chaos theory"

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何振林 and Albert Ho. "Chaos theory and security analysis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1991. http://hub.hku.hk/bib/B31264931.

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Ho, Albert. "Chaos theory and security analysis /." [Hong Kong] : University of Hong Kong, 1991. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13055227.

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Kennedy, R. Scott. "Synthesis of chaos theory & design." Thesis, Virginia Tech, 1994. http://hdl.handle.net/10919/42000.

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The design implications of chaos theory are explored. What does this theory mean, if anything, to landscape architecture or architecture?

In order to investigate these questions, the research was divided into four components relevant to design. First, philosophical- chaos offers a nonlinear understanding about place and nature. Second, aesthetical- fractals describe a deep beauty and order in nature. Thirdly, modeling-it is a qualitative method of modeling natural processes. Lastly, managing- concepts of chaos theory can be exploited to mimic processes found in nature. These components draw from applications and selected literature of chaos theory.

From these research components, design implications were organized and concluded. Philosophical implications, offer a different, nonlinear realization about nature for designers. Aesthetic conclusions, argue that fractal geometry can articulate an innate beauty (a scaling phenomenon) in nature. Modeling, discusses ways of using chaos theory to visualize the design process, a process which may be most resilient when it is nonlinear. The last research chapter, managing, applications of chaos theory are used to illustrate how complex form, like that in nature, can be created by designers.


Master of Landscape Architecture
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Koperski, Jeffrey David. "Defending chaos: An examination and defense of the models used in chaos theory /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487945015616055.

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Thweatt-Bates, Jennifer Jeanine. "Chaos theory and the problem of evil." Online full text .pdf document, available to Fuller patrons only, 2002. http://www.tren.com.

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Ghosh, Archisman. "TIME-DEPENDENT SYSTEMS AND CHAOS IN STRING THEORY." UKnowledge, 2012. http://uknowledge.uky.edu/physastron_etds/9.

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One of the phenomenal results emerging from string theory is the AdS/CFT correspondence or gauge-gravity duality: In certain cases a theory of gravity is equivalent to a "dual" gauge theory, very similar to the one describing non-gravitational interactions of fundamental subatomic particles. A difficult problem on one side can be mapped to a simpler and solvable problem on the other side using this correspondence. Thus one of the theories can be understood better using the other. The mapping between theories of gravity and gauge theories has led to new approaches to building models of particle physics from string theory. One of the important features to model is the phenomenon of confinement present in strong interaction of particle physics. This feature is not present in the gauge theory arising in the simplest of the examples of the duality. However this N = 4 supersymmetric Yang-Mills gauge theory enjoys the property of being integrable, i.e. it can be exactly solved in terms of conserved charges. It is expected that if a more realistic theory turns out to be integrable, solvability of the theory would lead to simple analytical expressions for quantities like masses of the hadrons in the theory. In this thesis we show that the existing models of confinement are all nonintegrable--such simple analytic expressions cannot be obtained. We moreover show that these nonintegrable systems also exhibit features of chaotic dynamical systems, namely, sensitivity to initial conditions and a typical route of transition to chaos. We proceed to study the quantum mechanics of these systems and check whether their properties match those of chaotic quantum systems. Interestingly, the distribution of the spacing of meson excitations measured in the laboratory have been found to match with level-spacing distribution of typical quantum chaotic systems. We find agreement of this distribution with models of confining strong interactions, conforming these as viable models of particle physics arising from string theory.
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Klages, Rainer. "Deterministic chaos and diffusion: from theory to experiments." Diffusion fundamentals 2 (2005) 24, S. 1-2, 2005. https://ul.qucosa.de/id/qucosa%3A14354.

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Bullock, Mercedes. "Translating “Lunokhod”: Textual Order, Chaos and Relevance Theory." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40981.

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This thesis examines the concepts of textual order and chaos, and how Relevance Theory can be used to translate texts that do not adhere to conventional textual practices. Relevance Theory operates on the basis of presumed order in communication. Applying it to disordered communicative acts provides an opportunity and vocabulary to describe how communication can break down, and the consequences this can have for translation. This breakdown of order, which I am terming a ‘chaos principle’, will be examined through the lens of a Russian-language short story called “Lunokhod”, a story in which textual order, as described by Relevance Theory, breaks down. In this thesis, I first lay out several translation challenges presented by my corpus, discuss each with reference to Relevance Theory, and examine the implications for translation through sample translation segments. This deconstruction section argues that conventional translation methods fail to properly address the challenges of my corpus. Next comes a reconstruction section, in which I develop a theoretical framework for my translation that has roots in Relevance Theory but that frees the translation from the constraints imposed by an ordered view of communication. Finally, I present the translation itself.
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Harrell, Maralee. "Chaos and reliable knowledge /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2000. http://wwwlib.umi.com/cr/ucsd/fullcit?p9987534.

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Krcelic, Khristine M. "Chaos and Dynamical Systems." Youngstown State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1364545282.

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Books on the topic "Chaos theory"

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Whitman, John. Chaos Theory. New York: HarperCollins, 2007.

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Whitman, John. Chaos theory. New York: HarperCollins, 2007.

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Copyright Paperback Collection (Library of Congress), ed. Chaos theory. New York: Jove Books, 2001.

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A, Louw J., ed. Chaos and quantum chaos. Singapore: World Scientific, 1986.

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Banerjee, Santo, Şefika Şule Erçetin, and Ali Tekin, eds. Chaos Theory in Politics. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8691-1.

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David, Abraham Frederick, and Gilgen Albert R. 1930-, eds. Chaos theory in psychology. Westport, Conn: Praeger, 1995.

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David, Abraham Frederick, and Gilgen Albert R. 1930-, eds. Chaos theory in psychology. Westport, Conn: Greenwood Press, 1995.

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Tsonis, Anastasios A. Chaos: From Theory to Applications. Boston, MA: Springer US, 1992.

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G, Matinyan S., and Müller Berndt 1950-, eds. Chaos and gauge field theory. Singapore: World Scientific, 1994.

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Skiadas, Christos H., and Charilaos Skiadas, eds. Handbook of Applications of Chaos Theory. Boca Ration : Taylor & Francis, 2016.|“A CRC title.”: Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/b20232.

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Book chapters on the topic "Chaos theory"

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Kelly, Jerry S. "Chaos." In Social Choice Theory, 36–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-09925-4_5.

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Bungartz, Hans-Joachim, Stefan Zimmer, Martin Buchholz, and Dirk Pflüger. "Chaos Theory." In Springer Undergraduate Texts in Mathematics and Technology, 291–314. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39524-6_12.

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Forgues, Bernard, and Raymond-Alain Thietart. "Chaos Theory." In The Palgrave Encyclopedia of Strategic Management, 226–30. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-137-00772-8_384.

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Savi, Marcelo A. "Chaos Theory." In Understanding Complex Systems, 283–99. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45101-0_10.

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Forgues, Bernard, and Raymond-Alain Thietart. "Chaos Theory." In The Palgrave Encyclopedia of Strategic Management, 1–5. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-349-94848-2_384-1.

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Johnston, Nicholas E., and James Brian Aday. "Chaos theory." In Encyclopedia of Tourism, 147–48. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-01384-8_551.

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Johnston, Nicholas E., and James Brian Aday. "Chaos theory, tourism." In Encyclopedia of Tourism, 1–2. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01669-6_551-1.

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Andonov, Sasho. "Theory of Chaos." In Learning and Relearning Equipment Complexity, 163–77. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003404811-10.

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Moore, Basil John. "Chaos Theory: Unpredictable Order in Chaos." In Shaking the Invisible Hand, 43–74. London: Palgrave Macmillan UK, 2006. http://dx.doi.org/10.1057/9780230512139_3.

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van Wyk, M. A., and W. H. Steeb. "Controlling Chaos." In Mathematical Modelling: Theory and Applications, 291–339. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8921-5_7.

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Conference papers on the topic "Chaos theory"

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Buza, Barna "BoyC." "Chaos theory." In ACM SIGGRAPH 2007 computer animation festival. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1281740.1281769.

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Richardson, Kristen A. "Electric Field Control of Seizure Propagation: From Theory to Experiment." In EXPERIMENTAL CHAOS: 8th Experimental Chaos Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1846476.

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Nekhamkina, Olga A. "Period Adding Transition in Thermal Patterns of Pd-Catalyzed CO Oxidation. Experiment and Theory." In EXPERIMENTAL CHAOS: 8th Experimental Chaos Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1846454.

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Ruelle, David. "Ergodic Theory of Chaos." In Optical Bistability. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/obi.1985.wc1.

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Determinsistic chaos arises in a variety of nonlinear dynamical systems in physics, and in particular in optics. One has now gained a reasonable understanding of the onset of chaos in terms of the geometry of bifurcations and strange attractors. This geometric approach does not work for attractors of more than two or three dimensions. For these, however, ergodic theory provides new concepts: characteristic exponents, entropy, information dimension, which are reproducibly estimated from physical experiments. The Characteristic exponents measure the rate of divergence of nearby trajectories of a dynamical system, the entropy measures the rate of information creation by the system, and the information dimension is a fractal dimension of particular interest. There are inequalities (or even identities) relating the entropy and information dimension to the characteristic exponents. The experimental measure of these ergodic quantities provides a numerical estimate of the instability of chaotic systems, and of the number of "degrees of freedom" which they possess.
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Just, Wolfram, Ekkehard Reibold, and Hartmut Benner. "Time–Delayed Feedback Control: Theory and Application." In 5th Experimental Chaos Conference. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812811516_0007.

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Maldonado, J. A., and J. A. Hernandez. "Chaos Theory Applied to Communications -- Part I: Chaos Generators." In Electronics, Robotics and Automotive Mechanics Conference (CERMA 2007). IEEE, 2007. http://dx.doi.org/10.1109/cerma.2007.4367660.

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Zhao, Hong, and Xueying Zhang. "SIP Steganalysis Using Chaos Theory." In 2012 International Conference on Computing, Measurement, Control and Sensor Network (CMCS). IEEE, 2012. http://dx.doi.org/10.1109/cmcsn.2012.25.

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Avasare, Minal Govind, and Vishakha Vivek Kelkar. "Image encryption using chaos theory." In 2015 International Conference on Communication, Information & Computing Technology (ICCICT). IEEE, 2015. http://dx.doi.org/10.1109/iccict.2015.7045687.

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Smith, A., A. Monti, and F. Ponci. "Robust Controller Using Polynomial Chaos Theory." In Conference Record of the 2006 IEEE Industry Applications Conference Forty-First IAS Annual Meeting. IEEE, 2006. http://dx.doi.org/10.1109/ias.2006.256892.

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Narimanov, Evgenii E., and Viktor A. Podolskiy. "Light in Microresonators and Chaos Theory." In Integrated Photonics Research and Applications. Washington, D.C.: OSA, 2005. http://dx.doi.org/10.1364/ipra.2005.iwe1.

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Reports on the topic "Chaos theory"

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Mueller, Theodore H. Chaos Theory and the Mayaguez Crisis. Fort Belvoir, VA: Defense Technical Information Center, March 1990. http://dx.doi.org/10.21236/ada222901.

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Durham, Susan E. Chaos Theory for the Practical Military Mind. Fort Belvoir, VA: Defense Technical Information Center, March 1997. http://dx.doi.org/10.21236/ada388495.

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Dobson, Rhea E. Chaos Theory and the Effort in Afghanistan. Fort Belvoir, VA: Defense Technical Information Center, February 2008. http://dx.doi.org/10.21236/ada478503.

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Fote, A., S. Kohn, E. Fletcher, and J. McDonough. Application of Chaos Theory to 1/f Noise. Fort Belvoir, VA: Defense Technical Information Center, February 1988. http://dx.doi.org/10.21236/ada191150.

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Mitchell, Glenn W. The New Math for Leaders: Useful Ideas from Chaos Theory. Fort Belvoir, VA: Defense Technical Information Center, March 1998. http://dx.doi.org/10.21236/ada345511.

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Johnson, Darfus L. Wizards of Chaos and Order: A Theory of the Origins, Practice, And Future of Operational Art. Fort Belvoir, VA: Defense Technical Information Center, May 1999. http://dx.doi.org/10.21236/ada370245.

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Williford, R. E., and C. F. Jr Windisch. Final report on the application of chaos theory to an alumina sensor for aluminum reduction cells. Office of Scientific and Technical Information (OSTI), March 1992. http://dx.doi.org/10.2172/5638641.

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Williford, R. E., and C. F. Jr Windisch. Final report on the application of chaos theory to an alumina sensor for aluminum reduction cells. Inert Electrodes Program. Office of Scientific and Technical Information (OSTI), March 1992. http://dx.doi.org/10.2172/10135033.

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Cai, Y., M. W. Wambsganss, and J. A. Jendrzejczyk. Application of chaos theory in identification of two-phase flow patterns and transitions in a small, horizontal, rectangular channel. Office of Scientific and Technical Information (OSTI), February 1996. http://dx.doi.org/10.2172/207657.

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Soloviev, Vladimir, Andrii Bielinskyi, Oleksandr Serdyuk, Victoria Solovieva, and Serhiy Semerikov. Lyapunov Exponents as Indicators of the Stock Market Crashes. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4131.

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The frequent financial critical states that occur in our world, during many centuries have attracted scientists from different areas. The impact of similar fluctuations continues to have a huge impact on the world economy, causing instability in it concerning normal and natural disturbances [1]. The an- ticipation, prediction, and identification of such phenomena remain a huge chal- lenge. To be able to prevent such critical events, we focus our research on the chaotic properties of the stock market indices. During the discussion of the re- cent papers that have been devoted to the chaotic behavior and complexity in the financial system, we find that the Largest Lyapunov exponent and the spec- trum of Lyapunov exponents can be evaluated to determine whether the system is completely deterministic, or chaotic. Accordingly, we give a theoretical background on the method for Lyapunov exponents estimation, specifically, we followed the methods proposed by J. P. Eckmann and Sano-Sawada to compute the spectrum of Lyapunov exponents. With Rosenstein’s algorithm, we com- pute only the Largest (Maximal) Lyapunov exponents from an experimental time series, and we consider one of the measures from recurrence quantification analysis that in a similar way as the Largest Lyapunov exponent detects highly non-monotonic behavior. Along with the theoretical material, we present the empirical results which evidence that chaos theory and theory of complexity have a powerful toolkit for construction of indicators-precursors of crisis events in financial markets.
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