Academic literature on the topic 'Dynamical'

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Journal articles on the topic "Dynamical"

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Koelink, Erik, and Yvette Van Norden. "The dynamicalU(n)quantum group." International Journal of Mathematics and Mathematical Sciences 2006 (2006): 1–30. http://dx.doi.org/10.1155/ijmms/2006/65279.

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We study the dynamical analogue of the matrix algebraM(n), constructed from a dynamicalR-matrix given by Etingof and Varchenko. A left and a right corepresentation of this algebra, which can be seen as analogues of the exterior algebra representation, are defined and this defines dynamical quantum minor determinants as the matrix elements of these corepresentations. These elements are studied in more detail, especially the action of the comultiplication and Laplace expansions. Using the Laplace expansions we can prove that the dynamical quantum determinant is almost central, and adjoining an i
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van Gelder, Tim. "The dynamical hypothesis in cognitive science." Behavioral and Brain Sciences 21, no. 5 (1998): 615–28. http://dx.doi.org/10.1017/s0140525x98001733.

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According to the dominant computational approach in cognitive science, cognitive agents are digital computers; according to the alternative approach, they are dynamical systems. This target article attempts to articulate and support the dynamical hypothesis. The dynamical hypothesis has two major components: the nature hypothesis (cognitive agents are dynamical systems) and the knowledge hypothesis (cognitive agents can be understood dynamically). A wide range of objections to this hypothesis can be rebutted. The conclusion is that cognitive systems may well be dynamical systems, and only sust
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De Luca, Federico, Marco De Petris, Gustavo Yepes, Weiguang Cui, Alexander Knebe, and Elena Rasia. "The Three Hundred project: dynamical state of galaxy clusters and morphology from multiwavelength synthetic maps." Monthly Notices of the Royal Astronomical Society 504, no. 4 (2021): 5383–400. http://dx.doi.org/10.1093/mnras/stab1073.

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ABSTRACT We study the connection between morphology and dynamical state of the simulated galaxy clusters in z ∈ [0, 1.031] from The Three Hundred project. We quantify cluster dynamical state using a combination of dynamical indicators from theoretical measures and compare this combined parameter, χ, with the results from morphological classifications. The dynamical state of the cluster sample shows a continuous distribution from dynamically relaxed, more abundant at lower redshift, to hybrid and disturbed. The dynamical state presents a clear dependence on the radius, with internal regions mor
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Belloni, Diogo, Pavel Kroupa, Helio J. Rocha-Pinto, and Mirek Giersz. "Dynamical equivalence, the origin of the Galactic field stellar and binary population, and the initial radius–mass relation of embedded clusters." Monthly Notices of the Royal Astronomical Society 474, no. 3 (2017): 3740–45. http://dx.doi.org/10.1093/mnras/stx3034.

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Abstract In order to allow a better understanding of the origin of Galactic field populations, dynamical equivalence of stellar-dynamical systems has been postulated by Kroupa and Belloni et al. to allow mapping of solutions of the initial conditions of embedded clusters such that they yield, after a period of dynamical processing, the Galactic field population. Dynamically equivalent systems are defined to initially and finally have the same distribution functions of periods, mass ratios and eccentricities of binary stars. Here, we search for dynamically equivalent clusters using the mocca co
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Nasim, Imran, and Michael E. Henderson. "Dynamically Meaningful Latent Representations of Dynamical Systems." Mathematics 12, no. 3 (2024): 476. http://dx.doi.org/10.3390/math12030476.

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Dynamical systems are ubiquitous in the physical world and are often well-described by partial differential equations (PDEs). Despite their formally infinite-dimensional solution space, a number of systems have long time dynamics that live on a low-dimensional manifold. However, current methods to probe the long time dynamics require prerequisite knowledge about the underlying dynamics of the system. In this study, we present a data-driven hybrid modeling approach to help tackle this problem by combining numerically derived representations and latent representations obtained from an autoencode
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BALADI, VIVIANE. "Periodic orbits and dynamical spectra (Survey)." Ergodic Theory and Dynamical Systems 18, no. 2 (1998): 255–92. http://dx.doi.org/10.1017/s0143385798113925.

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Basic results in the rigorous theory of weighted dynamical zeta functions or dynamically defined generalized Fredholm determinants are presented. Analytic properties of the zeta functions or determinants are related to statistical properties of the dynamics via spectral properties of dynamical transfer operators, acting on Banach spaces of observables.
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Caballero, Rubén, Alexandre N. Carvalho, Pedro Marín-Rubio, and José Valero. "Robustness of dynamically gradient multivalued dynamical systems." Discrete & Continuous Dynamical Systems - B 24, no. 3 (2019): 1049–77. http://dx.doi.org/10.3934/dcdsb.2019006.

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Heath, Richard A. "Cognitive dynamics: A psychological perspective." Behavioral and Brain Sciences 21, no. 5 (1998): 642. http://dx.doi.org/10.1017/s0140525x9838173x.

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Although cognitive psychology is still dominated by computational theories, there is an emerging emphasis on dynamical aspects of cognition. Examples are provided supporting the increased use of dynamically inspired models by psychologists. Despite measurement and model verification problems in the direct use of dynamical system theoretic technology, van Gelder's general approach to cognition is recommended.
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Dietrich, Eric, and Arthur B. Markman. "Dynamical description versus dynamical modeling." Trends in Cognitive Sciences 5, no. 8 (2001): 332. http://dx.doi.org/10.1016/s1364-6613(00)01705-8.

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Landry, Nicholas W., and Juan G. Restrepo. "Hypergraph assortativity: A dynamical systems perspective." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 5 (2022): 053113. http://dx.doi.org/10.1063/5.0086905.

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The largest eigenvalue of the matrix describing a network’s contact structure is often important in predicting the behavior of dynamical processes. We extend this notion to hypergraphs and motivate the importance of an analogous eigenvalue, the expansion eigenvalue, for hypergraph dynamical processes. Using a mean-field approach, we derive an approximation to the expansion eigenvalue in terms of the degree sequence for uncorrelated hypergraphs. We introduce a generative model for hypergraphs that includes degree assortativity, and use a perturbation approach to derive an approximation to the e
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Dissertations / Theses on the topic "Dynamical"

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CAPPELLINI, VALERIO. "QUANTUM DYNAMICAL ENTROPIES AND COMPLEXITY IN DYNAMICAL SYSTEMS." Doctoral thesis, Università degli studi di Trieste, 2004. http://thesis2.sba.units.it/store/handle/item/12545.

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2002/2003<br>We analyze the behavior of two quantum dynamical entropies in connection with the classical limit. Using strongly chaotic classical dynamical systems as models (Arnold Cat Maps and Sawtooth Maps), we also propose a discretization procedure that resembles quantization; even in this case, studies of quantum dynamical entropy production are carried out and the connection with the continuous limit is explored. In both case (quantization and discretization) the entropy production converge to the Kolmogorov-Sinai invariant on time-scales that are logarithmic in the quantization
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Cox, Sander. "Dynamical modelling." Thesis, Uppsala universitet, Tillämpad matematik och statistik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-262477.

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Root, Stephen Thomassy. "Comparison of Kane's dynamical equations to traditional dynamical techniques." Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/105588.

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Ozaki, Junichi. "Dynamical quantum effects in cluster dynamics of Fermi systems." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/199083.

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Rieger, Marc Oliver. "Nonconvex Dynamical Problems." Doctoral thesis, Universitätsbibliothek Leipzig, 2004. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-37269.

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Many problems in continuum mechanics, especially in the theory of elastic materials, lead to nonlinear partial differential equations. The nonconvexity of their underlying energy potential is a challenge for mathematical analysis, since convexity plays an important role in the classical theories of existence and regularity. In the last years one main point of interest was to develop techniques to circumvent these difficulties. One approach was to use different notions of convexity like quasi-- or polyconvexity, but most of the work was done only for static (time independent) equations. In this
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Haydn, Nicolai Theodorus Antonius. "On dynamical systems." Thesis, University of Warwick, 1986. http://wrap.warwick.ac.uk/55813/.

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Part A. We prove existence of smooth invariant circles for area preserving twist maps close enough to integrable using renormalisation. The smoothness depends upon that of the map and the Liouville exponent of the rotation number. Part B. Ruelle and Capocaccia gave a new definition of Gibbs states on Smale spaces. Equilibrium states of suitable function there on are known to be Gibbs states. The converse in discussed in this paper, where the problem is reduced to shift spaces and there solved by constructing suitable conjugating homeomorphisms in order to verify the conditions for Gibbs states
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Miles, Richard Craig. "Arithmetic dynamical systems." Thesis, University of East Anglia, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323222.

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Che, Dzul-Kifli Syahida. "Chaotic dynamical systems." Thesis, University of Birmingham, 2012. http://etheses.bham.ac.uk//id/eprint/3410/.

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In this work, we look at the dynamics of four different spaces, the interval, the unit circle, subshifts of finite type and compact countable sets. We put our emphasis on chaotic dynamical system and exhibit sufficient conditions for the system on the interval, the unit circle and subshifts of finite type to be chaotic in three different types of chaos. On the interval, we reveal two weak conditions’s role as a fast track to chaotic behavior. We also explain how a strong dense periodicity property influences chaotic behavior of dynamics on the interval, the unit circle and subshifts of finite
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Hillman, Chris. "Sturmian dynamical systems /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/5806.

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Leyendecker, Sigrid. "Mechanical integrators for constrained dynamical systems in flexible multibody dynamics." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=980411912.

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Books on the topic "Dynamical"

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service), SpringerLink (Online, ed. Dynamical Systems. Springer-Verlag Berlin Heidelberg, 2011.

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Jones, C. K. R. T., Kirchgraber U. 1945-, Walther Hans-Otto, and Fournier G. 1947-, eds. Dynamics reported: Expositions in dynamical systems. Springer Verlag, 1994.

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Cong, Nguyen Dinh. Topological dynamics of random dynamical systems. Clarendon Press, 1997.

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Jones, C. K. R. T., Kirchgraber U. 1945-, Walther Hans-Otto, and Blokh A. M, eds. Dynamics reported: Expositions in dynamical systems. Springer-Verlag, 1995.

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C. K. R. T. Jones. Dynamics Reported: Expositions in Dynamical Systems. Springer Berlin Heidelberg, 1995.

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U, Kirchgraber, and Walther H. O, eds. Dynamics Reported: Expositions in Dynamical Systems. Springer Berlin Heidelberg, 1993.

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Jones, C. K. R. T., Kirchgraber Urs 1945-, Walther Hans-Otto, and Bielawski R, eds. Dynamics reported: Expositions in dynamical systems. Springer-Verlag, 1992.

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Urs, Kirchgraber, and Walther Hans-Otto, eds. Dynamics Reported: Expositions in Dynamical Systems. Springer Berlin Heidelberg, 1994.

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Libang, Teng, ed. Qualitative theory of dynamical systems. World Scientific, 1993.

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1927-, Aoki Nobuo, and Kyōto Daigaku. Sūri Kaiseki Kenkyūjo., eds. Dynamical systems and applications. World Scientific, 1987.

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Book chapters on the topic "Dynamical"

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Porter, Mason A., and James P. Gleeson. "Dynamical Systems on Dynamical Networks." In Frontiers in Applied Dynamical Systems: Reviews and Tutorials. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26641-1_6.

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Atmanspacher, Harald. "Dynamical Entropy in Dynamical Systems." In Time, Temporality, Now. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60707-3_22.

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Hadeler, K. P., and Johannes Müller. "Dynamical Systems of Population Dynamics." In Ergodic Theory, Analysis, and Efficient Simulation of Dynamical Systems. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56589-2_14.

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Platzer, André. "Dynamical Systems & Dynamic Axioms." In Logical Foundations of Cyber-Physical Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-63588-0_5.

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Baladi, Viviane. "Dynamical determinants for smooth hyperbolic dynamics." In Dynamical Zeta Functions and Dynamical Determinants for Hyperbolic Maps. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77661-3_6.

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Jolissaint, Paul. "Dynamical Characterizations." In Groups with the Haagerup Property. Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-8237-8_2.

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Greiner, Walter. "Dynamical Systems." In Classical Mechanics. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03434-3_23.

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McLennan, Andrew. "Dynamical Systems." In Advanced Fixed Point Theory for Economics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0710-2_15.

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Greiner, Walter, and Berndt Müller. "Dynamical Symmetries." In Quantum Mechanics. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-57976-9_14.

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Ohya, Masanori, and Dénes Petz. "Dynamical Entropy." In Quantum Entropy and Its Use. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-57997-4_11.

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Conference papers on the topic "Dynamical"

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Cotler, Jordan, and Semon Rezchikov. "Computational Dynamical Systems." In 2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS). IEEE, 2024. http://dx.doi.org/10.1109/focs61266.2024.00021.

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He, Shiquan, Randy Paffenroth, Olivia Cava, and Cate Dunham. "Dynamical System Autoencoders." In 2024 International Conference on Machine Learning and Applications (ICMLA). IEEE, 2024. https://doi.org/10.1109/icmla61862.2024.00231.

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Huang, Hongtao, Zuliang Lu, Lei Wang, et al. "Dynamical waveforms and the dynamical source for electricity meter dynamical experiment." In 2016 Conference on Precision Electromagnetic Measurements (CPEM 2016). IEEE, 2016. http://dx.doi.org/10.1109/cpem.2016.7540737.

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Chen, Wenchao, Bo Chen, Yicheng Liu, Qianru Zhao, and Mingyuan Zhou. "Switching Poisson Gamma Dynamical Systems." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/281.

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We propose Switching Poisson gamma dynamical systems (SPGDS) to model sequentially observed multivariate count data. Different from previous models, SPGDS assigns its latent variables into mixture of gamma distributed parameters to model complex sequences and describe the nonlinear dynamics, meanwhile, capture various temporal dependencies. For efficient inference, we develop a scalable hybrid stochastic gradient-MCMC and switching recurrent autoencoding variational inference, which is scalable to large scale sequences and fast in out-of-sample prediction. Experiments on both unsupervised and
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Motil, Avi, Yair Peled, Lior Yaron, and Moshe Tur. "Dynamical BOTDA." In Advances in Optical Materials. OSA, 2012. http://dx.doi.org/10.1364/aiom.2012.jth2a.20.

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von Smekal, Lorenz, Almut Mecke, and Reinhard Alkofer. "A dynamical." In INTERSECTIONS BETWEEN PARTICLE AND NUCLEAR PHYSICS. ASCE, 1997. http://dx.doi.org/10.1063/1.54300.

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Jiang, Yunping, and Lan Wen. "DYNAMICAL SYSTEMS." In Proceedings of the International Conference in Honor of Professor Liao Shantao. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789814527002.

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Andersson, Stig I., Ǻke E. Andersson, and Ulf Ottoson. "Dynamical Systems." In Conference. WORLD SCIENTIFIC, 1993. http://dx.doi.org/10.1142/9789814535526.

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Shan-Tao, Liao, Ye Yan-Qian, and Ding Tong-Ren. "Dynamical Systems." In Special Program at Nankai Institute of Mathematics. WORLD SCIENTIFIC, 1993. http://dx.doi.org/10.1142/9789814535892.

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"Dynamical systems." In Proceedings of the 7th International ISAAC Congress. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814313179_others11.

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Reports on the topic "Dynamical"

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Newhouse, Sheldon E. Dynamical Systems. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada215319.

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Shaopeng, Zhu, Hidekazu Nishimura, and Hirosi Tajima. Dynamical Analysis of Motorcycle by Using Multi-Body Dynamics Theory. SAE International, 2005. http://dx.doi.org/10.4271/2005-08-0389.

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Furnish, M. D., L. C. Chhabildas, and D. J. Steinberg. Dynamical behavior of tantalum. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/139478.

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Hale, Jack K. Analysis of Dynamical Systems. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada204636.

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Jones, Christopher, Steven Wiggins, and George Haller. Dynamical Systems and Oceanography. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada279807.

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Jones, Christopher, Steven Wiggins, and George Haller. Dynamical Systems and Oceanography. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada282635.

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Hale, Jack K. Analysis of Dynamical Systems. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada166224.

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Weerasinghe, Ananda P. Controlled Stochastic Dynamical Systems. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada470046.

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Vattikuti, Venkata Hasith, and Philip Chrostoski. Modeling graphene sheet growth and dynamical matrix calculations using molecular dynamics. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2429878.

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Philip Holmes. NONLINEAR DYNAMICAL SYSTEMS - Final report. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/888778.

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