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Готові списки джерел за темами / Dynamics

Добірка наукової літератури з теми "Dynamics"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 13 травня 2023

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Статті в журналах з теми "Dynamics":

1

Raza, Md Shamim, Nitesh Kumar, and Sourav Poddar. "Combustor Characteristics under Dynamic Condition during Fuel – Air Mixingusing Computational Fluid Dynamics." Journal of Advances in Mechanical Engineering and Science 1, no. 1 (August 8, 2015): 20–33. http://dx.doi.org/10.18831/james.in/2015011003.

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2

STRADTMANN, Hinnerk. "1D14 Examples for European assessment of vehicle's dynamic running behaviour(Vehicles-Dynamics)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2015 (2015): _1D14–1_—_1D14–12_. http://dx.doi.org/10.1299/jsmestech.2015._1d14-1_.

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3

Pham, Kien Huu, and Trang Thi Thuy Giap. "The liquid–amorphous phase transition, slow dynamics and dynamical heterogeneity for bulk iron: a molecular dynamics simulation." RSC Advances 11, no. 51 (2021): 32435–45. http://dx.doi.org/10.1039/d1ra06394d.

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4

Li, Jian Jia, and Xin Hua Zhao. "Dynamics Modeling and Simulation of Tracked Five DOF Mobile Manipulator." Advanced Materials Research 433-440 (January 2012): 4817–22. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.4817.

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The dynamical analysis for the tracked moving platform and the manipulator are established based on by Newton-Euler method and Dynamics model is respectively obtained, Moreover, Dynamic simulation is conducted, and reveals the input-output relation for the motion system from dynamical simulation, and plays a solid basic for the further study of dynamic modeling and motion control.

5

SUN, KEHUI, and J. C. SPROTT. "DYNAMICS OF A SIMPLIFIED LORENZ SYSTEM." International Journal of Bifurcation and Chaos 19, no. 04 (April 2009): 1357–66. http://dx.doi.org/10.1142/s0218127409023688.

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A simplified Lorenz system with one bifurcation parameter is investigated by a detailed theoretical analysis as well as dynamic simulation, including some basic dynamical properties, Lyapunov exponent spectra, fractal dimension, bifurcations and routes to chaos. The results show that this system has complex dynamics with interesting characteristics.

6

Mozur, Eve M., and James R. Neilson. "Cation Dynamics in Hybrid Halide Perovskites." Annual Review of Materials Research 51, no. 1 (July 26, 2021): 269–91. http://dx.doi.org/10.1146/annurev-matsci-080819-012808.

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Hybrid halide perovskite semiconductors exhibit complex, dynamical disorder while also harboring properties ideal for optoelectronic applications that include photovoltaics. However, these materials are structurally and compositionally distinct from traditional compound semiconductors composed of tetrahedrally coordinated elements with an average valence electron count of silicon. The additional dynamic degrees of freedom of hybrid halide perovskites underlie many of their potentially transformative physical properties. Neutron scattering and spectroscopy studies of the atomic dynamics of these materials have yielded significant insights into their functional properties. Specifically, inelastic neutron scattering has been used to elucidate the phonon band structure, and quasi-elastic neutron scattering has revealed the nature of the uncorrelated dynamics pertaining to molecular reorientations. Understanding the dynamics of these complex semiconductors has elucidated the temperature-dependent phase stability and origins of defect-tolerant electronic transport from the highly polarizable dielectric response. Furthermore, the dynamic degrees of freedom of the hybrid perovskites provide additional opportunities for application engineering and innovation.

7

Menzies, Dylan. "Composing instrument control dynamics." Organised Sound 7, no. 3 (December 2002): 255–66. http://dx.doi.org/10.1017/s1355771802003059.

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The expression gestural mapping is well imbedded in the language of instrument designers, describing the function from interface control parameters to synthesis control parameters. This function is in most cases implicitly assumed to be instantaneous, so that at any time its output depends only on its input at that time. Here more general functions are considered, in which the output depends on the history of input, especially functions that behave like physical dynamic systems, such as a damped resonator. Acoustic instruments are rich in dynamical behaviour. Introducing dynamics at the control stage of an electronic instrument can help compensate for lack of dynamics in later non-physical synthesis stages. A broadening of the function space offers new aesthetic possibilities for composing instruments. Examples are presented to illustrate the new design/composition mode as well as practical techniques. In this context, it is suggested that the word mapping be updated with the more descriptive expression dynamic control processing.

8

VINCENT, THOMAS L. "THE G-FUNCTION METHOD FOR ANALYZING DARWINIAN DYNAMICS." International Game Theory Review 06, no. 01 (March 2004): 69–90. http://dx.doi.org/10.1142/s0219198904000083.

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Darwinian dynamics refers to the dynamical processes underlying natural selection that drives evolution. We are interested in the evolution of strategies used by biological entities. There are two dynamical processes involved, population dynamics (relationship between population density and the agents affecting density) and strategy dynamics (relationship between strategy values and the agents affecting these values). Darwinian dynamics is a total dynamic obtained through the coupling of these two processes, the modeling of which, involves dynamical systems, optimization, stability, and game theory. Using a method called the G-function approach, we explore how an evolutionary process can take place in a set of differential equations, and we examine some interesting links between evolutionary stability and optimization as embodied in the ESS maximum principle. One of the interesting paradoxes is how a "hill-climbing" algorithm can end up at a stable local minimum and why this might have important implications in understanding speciation (the creation of new species from a homogeneous population). Finally, we will examine how these concepts are currently being applied to model the development of tumors in humans.

9

Beiran, Manuel, Alexis Dubreuil, Adrian Valente, Francesca Mastrogiuseppe, and Srdjan Ostojic. "Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks." Neural Computation 33, no. 6 (May 13, 2021): 1572–615. http://dx.doi.org/10.1162/neco_a_01381.

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An emerging paradigm proposes that neural computations can be understood at the level of dynamic systems that govern low-dimensional trajectories of collective neural activity. How the connectivity structure of a network determines the emergent dynamical system, however, remains to be clarified. Here we consider a novel class of models, gaussian-mixture, low-rank recurrent networks in which the rank of the connectivity matrix and the number of statistically defined populations are independent hyperparameters. We show that the resulting collective dynamics form a dynamical system, where the rank sets the dimensionality and the population structure shapes the dynamics. In particular, the collective dynamics can be described in terms of a simplified effective circuit of interacting latent variables. While having a single global population strongly restricts the possible dynamics, we demonstrate that if the number of populations is large enough, a rank R network can approximate any R-dimensional dynamical system.

10

Feng, Zengming, Fuliang Suo, and Yabing Cheng. "58793 MESHING MECHANISM AND DYNAMIC ANALYSIS OF NEW SILENT CHAIN(Dynamics of Machine Components)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _58793–1_—_58793–5_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._58793-1_.

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Дисертації з теми "Dynamics":

1

Kulich, Martin. "Dynamic Template Adjustment in Continuous Keystroke Dynamics." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234927.

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Dynamika úhozů kláves je jednou z behaviorálních biometrických charakteristik, kterou je možné použít pro průběžnou autentizaci uživatelů. Vzhledem k tomu, že styl psaní na klávesnici se v čase mění, je potřeba rovněž upravovat biometrickou šablonu. Tímto problémem se dosud, alespoň pokud je autorovi známo, žádná studie nezabývala. Tato diplomová práce se pokouší tuto mezeru zaplnit. S pomocí dat o časování úhozů od 22 dobrovolníků bylo otestováno několik technik klasifikace, zda je možné je upravit na online klasifikátory, zdokonalující se bez učitele. Výrazné zlepšení v rozpoznání útočníka bylo zaznamenáno u jednotřídového statistického klasifikátoru založeného na normované Euklidovské vzdálenosti, v průměru o 23,7 % proti původní verzi bez adaptace, zlepšení však bylo pozorováno u všech testovacích sad. Změna míry rozpoznání správného uživatele se oproti tomu různila, avšak stále zůstávala na přijatelných hodnotách.

2

Munz, Marton. "Computational studies of protein dynamics and dynamic similarity." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:2fb76765-3e43-409b-aad3-b5202f4668b3.

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At the time of writing this thesis, the complete genomes of more than 180 organisms have been sequenced and more than 80000 biological macromolecular structures are available in the Protein Data Bank (PDB). While the number of sequenced genomes and solved three-dimensional structures are rapidly increasing, the functional annotation of protein sequences and structures is a much slower process, mostly because the experimental de-termination of protein function is expensive and time-consuming. A major class of in silico methods used for protein function prediction aim to transfer annotations between proteins based on sequence or structural similarities. These approaches rely on the assumption that homologous proteins of similar primary sequences and three-dimensional structures also have similar functions. While in most cases this assumption appears to be valid, an increasing number of examples show that proteins of highly similar sequences and/or structures can have different biochemical functions. Thus the relationship between the divergence of protein sequence, structure and function is more complex than previously anticipated. On the other hand, there is mounting evidence suggesting that minor changes of the sequences and structures of proteins can cause large differences in their conformational dynamics. As the intrinsic fluctuations of many proteins are key to their biochemical functions, the fact that very similar (almost identical) sequences or structures can have entirely different dynamics might be important for understanding the link between sequence, structure and function. In other words, the dynamic similarity of proteins could often serve as a better indicator of functional similarity than the similarity of their sequences or structures alone. Currently, little is known about how proteins are distributed in the 'dynamics space' and how protein motions depend on structure and sequence. These problems are relevant in the field of protein design, studying protein evolution and to better understand the functional differences of proteins. To address these questions, one needs a precise definition of dynamic similarity, which is not trivial given the complexity of protein motions. This thesis is intended to explore the possibilities of describing the similarity of proteins in the 'dynamics space'. To this end, novel methods of characterizing and comparing protein motions based on molecular dynamics simulation data were introduced. The generally applicable approach was tested on the family of PDZ domains; these small protein-protein interaction domains play key roles in many signalling pathways. The methodology was successfully used to characterize the dynamic dissimilarities of PDZ domains and helped to explain differences of their functional properties (e.g. binding promiscuity) also relevant for drug design studies. The software tools developed to implement the analysis are also introduced in the thesis. Finally, a network analysis study is presented to reveal dynamics-mediated intramolecular signalling pathways in an allosteric PDZ domain.

3

Zivanovic, Sanja. "Attractors in Dynamics with Choice." Scholarly Repository, 2009. http://scholarlyrepository.miami.edu/oa_dissertations/210.

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Dynamics with choice is a generalization of discrete-time dynamics where instead of the same evolution operator at every time step there is a choice of operators to transform the current state of the system. Many real life processes studied in chemical physics, engineering, biology and medicine, from autocatalytic reaction systems to switched systems to cellular biochemical processes to malaria transmission in urban environments, exhibit the properties described by dynamics with choice. We study the long-term behavior in dynamics with choice. We prove very general results on the existence and properties of global compact attractors in dynamics with choice. In addition, we study the dynamics with restricted choice when the allowed sequences of operators correspond to subshifts of the full shift. One of practical consequences of our results is that when the parameters of a discrete-time system are not known exactly and/or are subject to change due to internal instability, or a strategy, or Nature's intervention, the long term behavior of the system may not be correctly described by a system with "averaged" values for the parameters. There may be a Gestalt effect.

4

Demiray, Turhan Hilmi. "Simulation of power system dynamics using dynamic phasor models /." Zürich : ETH, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17607.

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5

Durazzo, Gerardo. "Simulation of supply chains dynamics using fluid-dynamic models." Doctoral thesis, Universita degli studi di Salerno, 2013. http://hdl.handle.net/10556/887.

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2011 - 2012
The aim of thesis is to present some macroscopic models for supply chains and networks able to reproduce the goods dynamics, successively to show, via simulations, some phenomena appearing in planning and managing such systems and, finally, to dead with optimization problems... [edited by author]
XI n.s.

6

Kovář, Jiří. "Využití „Open Dynamics Engine“ pro modelování mobilních robotů." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2008. http://www.nusl.cz/ntk/nusl-227991.

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This diploma thesis deals with the problems of virtual physical modelling of mobile robots for the needs of their real-time control. To create a virtual physical world, an open-source project OPEN DYNAMICS ENGINE (ODE) was used, the results were displayed facilitating DirectX graphical interface. Simulated systems in ODE were written in C# on Microsoft.NET platform. The properites and qualities in ODE were verified by simulation in several types of simple systems and on a simplified robot model "Kracmera I.". Subsequently, the usability of ODE for its control was being verified.

7

Mulder, William Alexander. "Dynamics of gas in a rotating galaxy." [Leiden] : Sterrewacht Leiden, 1985. http://catalog.hathitrust.org/api/volumes/oclc/12129828.html.

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8

Marketing, Corporate Affairs and. "Dynamics." Corporate Affairs and Marketing, 2004. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1000612.

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9

Gotte, Anders. "Dynamics in Ceria and Related Materials from Molecular Dynamics and Lattice Dynamics." Doctoral thesis, Uppsala University, Department of Materials Chemistry, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7374.

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In discussions of heterogeneous catalysis and other surface-related phenomena, the dynamical properties of the catalytic material are often neglected, even at elevated temperatures. An example is the three-way catalyst (TWC), used for treatment of exhaust gases from combustion engines operating at several hundred degrees Celsius. In the TWC, reduced ceria (CeO_2-x) is one of the key components, where it functions as an oxygen buffer, storing and releasing oxygen to provide optimal conditions for the catalytic conversion of the pollutants. In this process it is evident that dynamics plays a crucial role, not only ionic vibrations, but also oxygen diffusion.

In this thesis, the structure and dynamics of several ionic crystalline compounds and their surfaces have been studied by means of Molecular dynamics (MD) simulations and Lattice dynamics (LD) calculations. The main focus lies on CeO_2-x, but also CeO₂, MgO and CaF₂ have been investigated.

The presence of oxygen vacancies in ceria is found to lead to significant distortions of the oxygen framework around the defect (but not of the cerium framework). As a consequence, a new O-O distance emerges, as well as a significantly broadened Ce-O distance distribution.

The presence of oxygen vacancies in ceria also leads to increased dynamics. The oxygen self-diffusion in reduced ceria was calculated from MD simulations in the temperature range 800-2000 K, and was found to follow an Arrhenius behaviour with a vacancy mechanism along the crystallographic <100> directions only.

The cation and anion vibrational surface dynamics were investigated for MgO (001) using DFT-LD and for CaF₂ (111) in a combined LEED and MD study. Specific surface modes were found for MgO and increased surface dynamics was found both experimentally and theoretically for CaF₂, which is isostructural with CeO₂.

Many methodological aspects of modeling dynamics in ionic solids are also covered in this thesis. In many cases, the representation of the model system (slab thickness, simulation box-size and the choice of ensemble) was found to have a significant influence on the results.

10

Van, Wychen Wesley. "The Dynamics and Dynamic Discharge of the Ice Masses and Tidewater Glaciers of the Canadian High Arctic." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/33180.

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Speckle tracking of synthetic aperture RADAR imagery (Radarsat-1/2, ALOS PALSAR) and feature tracking of optical (Landsat-7 ETM+) imagery is used to determine the entire surface velocity structure of the major ice masses of the Canadian High Arctic in 2000, 2010-2015 and for select tidewater terminating glaciers from 1999-2010. At the termini of tidewater glaciers, surface ice velocities are combined with measured/modelled ice thicknesses to derive an estimate of mass loss via dynamic (iceberg) discharge. The total dynamic discharge for the ice masses of the southern Canadian Arctic Archipelago (SCAA: Baffin and Bylot Islands) is between ~17 and 180 Mt a-1 (0.017 to 0.180 Gt a-1) for the period 2007-2011, compared to a dynamic discharge of ~2.47 ± 0.88 Gt a-1 for the northern Canadian Arctic Archipelago (NCAA: Devon, Ellesmere, Axel Heiberg Islands) for the period 2011-2015. A comparison of these values with rates of mass loss via climatic mass balance (surface melt and runoff) indicates that dynamic discharge accounted for ~3.1% of total ablation for the NCAA in 2012 and ~0.11% of total ablation in the SCAA between 2007 and 2010. This reveals that total ablation in the Canadian Arctic is currently dominated by surface melt and runoff. The glacier velocity dataset provides the most comprehensive record of ice motion and dynamic discharge in the Canadian Arctic to date and reveals a large degree of variability in glacier motion within the region over the last ~15 years. Most of the major glaciers in the NCAA have decelerated and their resultant dynamic discharge has decreased over the observation period, which is largely attributed to cyclical phases attributed to surging and pulsing. On pulse-type glaciers, variation in ice motion is largely confined to regions where the bed is located below sea level. A notable departure from the overall trend of regional velocity slowdown is the widespread acceleration of the Trinity and Wykeham Glaciers of the Prince of Wales Icefield (the largest glacier complex in the Canadian Arctic), which cannot be explained by surge or pulse mechanisms. The increased discharge from these two glaciers nearly compensates (within error) for the decrease in iceberg discharge from other glaciers across the study region and indicates that total dynamic discharge from the Canadian Arctic can be sensitive to the variations of ice flow of just a few glaciers.

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Книги з теми "Dynamics":

1

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

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2

C. K. R. T. Jones. Dynamics Reported: Expositions in Dynamical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994.

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3

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

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4

C. K. R. T. Jones. Dynamics Reported: Expositions in Dynamical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993.

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5

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

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6

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

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7

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

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8

Jones, C. K. R. T., Kirchgraber U. 1945-, Walther Hans-Otto, and Dumas A. M, eds. Dynamics reported: Expositions in dynamical systems. Berlin: Springer-Verlag, 1993.

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9

Coornaert, M. Symbolic dynamcis [i.e. dynamics] and hyperbolic groups. Berlin: Springer-Verlag, 1993.

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10

E, Goodman Lawrence. Dynamics. 3rd ed. Mineola, N.Y: Dover Publications, 2001.

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Частини книг з теми "Dynamics":

1

Shen, Dan. "Dual dynamics versus single dynamic." In Dual Narrative Dynamics, 94–107. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003353027-10.

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2

Donner, Karl Johan, Axel Brandenburg, and Magnus Thomasson. "Galactic Dynamos and Dynamics." In The Cosmic Dynamo, 333–37. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-0772-3_60.

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3

Poulos, Thomas L. "Cytochrome P450 Dynamics Dynamics." In Fifty Years of Cytochrome P450 Research, 75–94. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-54992-5_4.

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4

Gustafson, Stephen J., and Israel Michael Sigal. "Dynamics." In Mathematical Concepts of Quantum Mechanics, 13–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55729-3_2.

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5

Merlet, Jean-Pierre. "Dynamics." In Solid Mechanics and Its Applications, 269–81. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-010-9587-7_9.

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6

Sciavicco, Lorenzo, and Bruno Siciliano. "Dynamics." In Modelling and Control of Robot Manipulators, 131–83. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0449-0_4.

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7

Hu, Pei-Chu, and Chung-Chun Yang. "Dynamics." In Meromorphic Functions over Non-Archimedean Fields, 139–75. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9415-8_5.

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8

de Jesus, Vitor L. B. "Dynamics." In Undergraduate Lecture Notes in Physics, 55–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52407-8_5.

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9

Stepan, Gabor. "Dynamics." In CIRP Encyclopedia of Production Engineering, 1–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-642-35950-7_6528-4.

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10

Spohn, Herbert. "Dynamics." In Large Scale Dynamics of Interacting Particles, 7–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84371-6_2.

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Тези доповідей конференцій з теми "Dynamics":

1

"Dynamics 2018 TOC." In 2018 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2018. http://dx.doi.org/10.1109/dynamics.2018.8601466.

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2

"Contents." In 2017 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2017. http://dx.doi.org/10.1109/dynamics.2017.8239520.

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3

Glukhov, V. I. "Geometrical product specifications: Alternative standardization principles, coordinate systems, models, classification and verification." In 2014 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2014. http://dx.doi.org/10.1109/dynamics.2014.7005655.

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4

Nikonova, Galina V. "HF-UHF pulse shaping for testing high-speed circuits." In 2014 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2014. http://dx.doi.org/10.1109/dynamics.2014.7005688.

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5

"[Front cover]." In 2014 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2014. http://dx.doi.org/10.1109/dynamics.2014.7005630.

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6

"Table of content." In 2014 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2014. http://dx.doi.org/10.1109/dynamics.2014.7005631.

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7

Anfilofiev, A. E., I. A. Hodashinsky, and O. O. Evsutin. "Algorithm for tuning fuzzy network attack classifiers based on invasive weed optimization." In 2014 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2014. http://dx.doi.org/10.1109/dynamics.2014.7005632.

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8

Averchenko, A. P., and B. D. Zhenatov. "Hartley transform as alternative to fourier transform in digital data processing systems." In 2014 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2014. http://dx.doi.org/10.1109/dynamics.2014.7005633.

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9

Baranova, Vitalia E., and Pavel F. Baranov. "The Helmholtz coils simulating and improved in COMSOL." In 2014 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2014. http://dx.doi.org/10.1109/dynamics.2014.7005634.

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10

Shtripling, Lev O., and Vladislav V. Bazhenov. "Oil refining emission automated monitoring system." In 2014 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2014. http://dx.doi.org/10.1109/dynamics.2014.7005635.

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Звіти організацій з теми "Dynamics":

1

Leibovich, Sidney. Vortex Dynamics. Fort Belvoir, VA: Defense Technical Information Center, August 1989. http://dx.doi.org/10.21236/ada212119.

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2

Teter, David Fredrick, Tanja Pietrass, and Karen Elizabeth Kippen. Materials Dynamics. Office of Scientific and Technical Information (OSTI), March 2018. http://dx.doi.org/10.2172/1423991.

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3

Pinkel, Robert, and Jody M. Klymak. Ocean Dynamics. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada612143.

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4

Pinkel, Robert. Ocean Dynamics. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada542616.

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5

Pinkel, R., and M. Merrifield. Ocean Dynamics. Fort Belvoir, VA: Defense Technical Information Center, March 1997. http://dx.doi.org/10.21236/ada333268.

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6

Newhouse, Sheldon E. Nonlinear Dynamics. Fort Belvoir, VA: Defense Technical Information Center, July 1991. http://dx.doi.org/10.21236/ada251271.

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7

Chamberlin, Ralph V. Fracton Dynamics. Fort Belvoir, VA: Defense Technical Information Center, June 1990. http://dx.doi.org/10.21236/ada254624.

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8

Pinkel, Robert. Ocean Dynamics. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada634182.

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9

Baraff, David, and Andrew Witkin. Partitioned Dynamics. Fort Belvoir, VA: Defense Technical Information Center, March 1997. http://dx.doi.org/10.21236/ada594838.

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10

Cutler, David, James Poterba, and Lawrence Summers. Speculative Dynamics. Cambridge, MA: National Bureau of Economic Research, January 1990. http://dx.doi.org/10.3386/w3242.

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