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1

Rogerson, Stuart Peter. Implementation of a distributed interactive simulation interface in a Sea King flight simulator. [Toronto]: Dept. of Aerospace Science and Engineering, University of Toronto, 1997.

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2

Rogerson, Stuart Peter. Implementation of a distributed interactive simulation interface in a Sea King flight simulator. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1999.

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3

L, Ferguson Robert, e Air Force Human Resources Laboratory., eds. Simulation of synthetic aperture radar II: Simulating SAR using the Advanced Visual Technology System. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1989.

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4

Zapevalov, Alexander, Konstantin Pokazeev e Tatiana Chaplina. Simulation of the Sea Surface for Remote Sensing. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58752-9.

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5

Born, Kai. Seewindzirkulationen: Numerische Simulationen der Seewindfront. Bonn: Dümmler, 1996.

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6

Meinhardt, Hans. The algorithmic beauty of sea shells. Berlin: Springer, 1998.

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7

Elliott, John M. Simulation of acoustic multipath arrival structure in the Barents Sea. Monterey, Calif: Naval Postgraduate School, 1992.

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8

Nigel, Haggan, Pitcher T. J e University of British Columbia. Fisheries Centre., eds. Ecosystem simulation models of Scotland's west coast and sea lochs. Vancouver, B.C: Fisheries Centre, University of British Columbia, 2005.

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9

Siniff, D. B. Population status of California sea otters. Los Angeles, Calif: U.S. Dept. of the Interior, Minerals Management Service, Pacific OCS Region, 1988.

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10

Ingraham, W. James. Ocean Surface Current Simulations in the North Pacific Ocean and the Bering Sea (OSCURS--Numerical model). Seattle, Wash: Resource Ecology and Fisheries Management Division, Northwest and Alaska Fisheries Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 1988.

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11

Li, Ching-Chung. A numerical simulation of seasonal circulation in the South China Sea. Monterey, Calif: Naval Postgraduate School, 1994.

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12

M, Elfouhaily Tonas, e United States. National Aeronautics and Space Administration., eds. Presenting the Rain--Sea Interaction Facility. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1993.

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13

M, Elfouhaily Tonas, e United States. National Aeronautics and Space Administration., eds. Presenting the Rain--Sea Interaction Facility. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1993.

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14

Bliven, Larry F. Presenting the Rain-Sea Interaction Facility. Washington, D. C: NASA, 1993.

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15

Bliven, Larry F. Presenting the rain-sea interaction facility. Washington D.C: NationalAeronautics and Space Administration, Office of Management, Scientific and Technical Information Branch, 1993.

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16

Dubanov, Aleksandr. Computer simulation in pursuit problems. ru: Publishing Center RIOR, 2022. http://dx.doi.org/10.29039/02102-6.

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Currently, computer simulation in virtual reality systems has a special status. In order for a computer model to meet the requirements of the tasks it models, it is necessary that the mathematical apparatus correctly describe the simulated phenomena. In this monograph, the simulation of pursuit problems is carried out. An adaptive modeling of the behavior of both pursuers and targets is carried out. An iterative calculation of the trajectories of the participants in the pursuit problem is carried out. The main attention is paid to the methods of pursuit and parallel rendezvous. These methods are taken as the basis of the study and are modified in the future. The scientific novelty of the study is the iterative calculation of the trajectories of the participants in the pursuit task when moving at a constant speed, while following the predicted trajectories. The predicted trajectories form a one-parameter network of continuous lines of the first order of smoothness. The predicted trajectories are calculated taking into account the restrictions on the curvature of the participant in the pursuit problem. The fact of restrictions on curvature can be interpreted as restrictions on the angular frequency of rotation of the object of the pursuit problem. Also, the novelty is the calculation of the iterative process of group pursuit of multiple targets, when targets are hit simultaneously or at specified intervals. The calculation of the parameters of the network of predicted trajectories is carried out with a curvature variation in order to achieve the desired temporal effect. The work also simulates the adaptive behavior of the pursuer and the target. The principle of behavior can be expressed on the example of a pursuer with a simple phrase: "You go to the left - I go to the left." This happens at each iteration step in terms of choosing the direction of rotation. For the purpose, the principle of adaptive behavior is expressed by the phrase: "You go to the left - I go to the right." The studies, algorithms and models presented in the monograph can be in demand in the design of autonomously controlled unmanned aerial vehicles with elements of artificial intelligence. The task models in the monograph are supplemented with many animated images, where you can see the research process. Also, the tasks have an implementation in a computer mathematics system and can be transferred to virtual reality systems if necessary.
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17

International Workshop on Transport at the Air Sea Interface (2006 University of Heidelberg). Transport at the air-sea interface: Measurements, models and parametrizations. Berlin: Springer, 2007.

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18

Desideri, Umberto, Giampaolo Manfrida e Enrico Sciubba, eds. ECOS 2012. Florence: Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-322-9.

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The 8-volume set contains the Proceedings of the 25th ECOS 2012 International Conference, Perugia, Italy, June 26th to June 29th, 2012. ECOS is an acronym for Efficiency, Cost, Optimization and Simulation (of energy conversion systems and processes), summarizing the topics covered in ECOS: Thermodynamics, Heat and Mass Transfer, Exergy and Second Law Analysis, Process Integration and Heat Exchanger Networks, Fluid Dynamics and Power Plant Components, Fuel Cells, Simulation of Energy Conversion Systems, Renewable Energies, Thermo-Economic Analysis and Optimisation, Combustion, Chemical Reactors, Carbon Capture and Sequestration, Building/Urban/Complex Energy Systems, Water Desalination and Use of Water Resources, Energy Systems- Environmental and Sustainability Issues, System Operation/ Control/Diagnosis and Prognosis, Industrial Ecology.
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19

Glick, Patricia. Sea-level rise and coastal habitats in the Pacific Northwest: An analysis for Puget Sound, southwestern Washington, and northwestern Oregon. Seattle, Wash: National Wildlife Federation, Western Natural Resource Center, 2007.

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20

Scott, Richard Bodley. Wolves from the sea: The dark ages. Oxford: Osprey, 2009.

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21

E, Crosbie Roy, e Society for Computer Simulation International., eds. Simulation in engineering education: Proceedings of SEE ʼ88, January 7-8, 1988 San Diego, California. San Diego, California: Society for Computer Simulation International, 1988.

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22

Meinhardt, Hans. The Algorithmic Beauty of Sea Shells. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003.

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23

Meinhardt, Hans. The algorithmic beauty of sea shells. Berlin: Springer-Verlag, 1995.

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24

Gobat, Jason I. WHOI cable: Time domain numerical simulation of moored and towed oceanographic systems. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1997.

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25

Dubanov, Aleksandr. Simulation of pursuit and parallel approach methods in pursuit problems. ru: Publishing Center RIOR, 2021. http://dx.doi.org/10.29039/02071-5.

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This monograph publishes a description of methods and algorithms for pursuit problems on surfaces. Simulation of tasks in the Mathcad programming environment was made. The development of digital technologies makes it possible to simulate a variety of problems from the theory of differential games. As a result of computer modeling, a lot of animation videos were obtained, which allow you to see the algorithmic solutions proposed by the author in pursuit problems. The monograph can be useful for students of technical universities, graduate students and developers of robotic systems with elements of artificial intelligence.
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26

S, Mohamed K., e Central Marine Fisheries Research Institute., eds. Trophic modelling of the Arabian Sea ecosystem off Karnataka and simulation of fishery yields. Cochin: Central Marine Fisheries Research Institute, 2008.

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27

Gobat, Jason I. WHOI cable v2.0: Time domain numerical simulation of moored and towed oceanographic systems. Woods Hole, Mass: Woods Hole Oceanographic Institution, 2000.

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28

Gobat, Jason I. WHOI cable v2.0: Time domain numerical simulation of moored and towed oceanographic systems. Woods Hole, Mass: Woods Hole Oceanographic Institution, 2000.

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29

Fischer, Albert Sok. The upper ocean response to the monsoon in the Arabian Sea. Cambridge, Mass: Massachusetts Institute of Technology, 2000.

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30

Godfrey, P. S. Study of sensitivity of a jacket design to sea current profile. London: H.M.S.O., 1987.

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31

Laurent, Seuront, e Strutton Peter G, eds. Handbook of scaling methods in aquatic ecology: Measurement, analysis, simulation. Boca Raton, Fla: CRC Press, 2004.

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32

Dubanov, Aleksandr. Geometric modeling of pursuit problems in Mathcad. ru: Publishing Center RIOR, 2020. http://dx.doi.org/10.29039/02031-9.

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This monograph publishes a description of the methods and algorithms of pursuit problems on surfaces, and also the simulation of tasks in the programming environment Mathcad. As a result of computer modeling, many animated videos were obtained that allow you to see the algorithmic solutions proposed by the author in the pursuit problems. The monograph may be useful to students of technical universities, graduate students and developers of robotic systems with elements of artificial intelligence.
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33

Ittai, Gavrieli, e Makhon ha-geʼologi (Israel), eds. A multi-component chemistry-based model for the Dead Sea: Modifications of the 1D Princeton Oceanographic Model. Jerusalem: State of Israel, Ministry of National Infrastructures, Geological Survey of Israel, 2006.

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34

Ittai, Gavrieli, e Makhon ha-geʼologi (Israel), eds. A multi-component chemistry-based model for the Dead Sea: Modifications of the 1D Princeton Oceanographic Model. Jerusalem: State of Israel, Ministry of National Infrastructures, Geological Survey of Israel, 2006.

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35

Ittai, Gavrieli, e Makhon ha-geʼologi (Israel), eds. A multi-component chemistry-based model for the Dead Sea: Modifications of the 1D Princeton Oceanographic Model. Jerusalem: State of Israel, Ministry of National Infrastructures, Geological Survey of Israel, 2006.

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36

O'Muircheartaigh, I. G. Estimation of sea-surface windspeed from whitecap cover: Statistical approaches compared empirically and by simulation. Monterey, Calif: Naval Postgraduate School, 1985.

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37

Veletas, Mihalis. Integration of turbulence and ship wake disturbance models in the GENHEL-Sea King rotor simulation code. [Toronto]: University of Toronto Institute for Aerospace Studies, 1996.

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38

Veletas, Mihalis. Integration of turbulence and ship wake disturbance models in the GENHEL-Sea King rotor simulation code. Ottawa: National Library of Canada, 1996.

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39

Egon, Marx, e National Institute of Standards and Technology (U.S.), eds. User's manual for the program MONSEL-1: Monte Carlo simulation of SEM signals for linewidth metrology. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1994.

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40

Oberhuber, Josef M. Simulation of the Atlantic circulation with a coupled sea ice-mixed layer-isopycnal general circulation model. Hamburg, Germany: Max-Planck-Institut fuer Meteorologie, 1990.

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41

Egon, Marx, e National Institute of Standards and Technology (U.S.), eds. User's manual for the program MONSEL-1: Monte Carlo simulation of SEM signals for linewidth metrology. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1994.

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42

W, Hess Kurt, e United States. National Ocean Service. Coastal and Estuarine Oceanography Branch, eds. National Ocean Service partnership: Real-time environmental monitoring in upper San Francisco Bay : final report. Silver Spring, Md: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Marine Analysis and Interpretation Division, Coastal and Estuarine Oceanography Branch, 1996.

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43

Colavincenzo, Stephen A. Modification and validation of a mathematical model for the simulation of a CH-124 Sea King helicopter. Ottawa: National Library of Canada, 1996.

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44

Seminario sobre la Oceanografía Fisica del Estrecho de Gibraltar (1988 Madrid, Spain). Seminario sobre la Oceanografía Fisica del Estrecho de Gibraltar: Madrid, 24-28 octubre 1988. [Madrid]: SECEG, 1989.

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45

French, Deborah P. Final report: Preassessment NRDA analysis : preliminary modeling of the fates and effects of oil released from the M/V New Carissa oil spill in February-March 1999. Narragansett, RI: Applied Science Associates, 1999.

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46

Clayton, Ed D. Dean. Line Rollering: A Keyboarding Simulation (Ta-Typing/Keyboarding Ser.). 4a ed. South-Western Educational Pub, 1996.

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47

Stout. All Star Sports, a Business Forms Simulation (Ta - Typing/Keyboarding Ser). 2a ed. Thomson South-Western, 1990.

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48

Webster, Wade. Ai and Simulation: Theory and Applications : Proceedings of the Scs Eastern Multiconference, 23-26 April, 1990, Nashville, Tennessee (Simulation Ser). Society for Computer Simulation International, 1990.

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49

Roux, Bernard. Numerical Simulation of Oscillatory Convection in Low-Pr Fluids: A Gamm-Workshop (Notes on Numerical Fluid Mechanics Ser. : Vol 28). Ballen Booksellers Intl, 1990.

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50

(Editor), M. Gervautz, A. Hildebrand (Editor) e D. Schmalstieg (Editor), eds. Virtual Environments '99: Proceedings of the Eurographics Workshop in Vienna, Austria, May 31-June 1, 1999 : Eurographics (Eurographics Ser). Springer-Verlag Telos, 1999.

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