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Thematische Bibliographien / Stator simulations / Bücher

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Bücher zum Thema „Stator simulations“

Autor: Grafiati

Veröffentlicht am 30. November 2024

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1

Center, Ames Research, Hrsg. Three-dimensional Navier-Stokes simulations of turbine rotor-stator interaction. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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2

Center, Ames Research, Hrsg. Three-dimensional Navier-Stokes simulations of turbine rotor-stator interaction. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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3

Boretti, A. A. Three-dimensional Euler time accurate simulations of fan rotor-stator interactions. [Cleveland, Ohio: National Aeronautics and Space Administration, Lewis Research Center, Institute for Computational Mechanics in Propulsion, 1990.

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4

Boretti, A. A. Three-dimensional Euler time accurate simulations of fan rotor-stator interactions. Cleveland, Ohio: Lewis Research Centre, 1990.

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5

Lewis Research Center. Institute for Computational Mechanics in Propulsion., Hrsg. Three-dimensional Euler time accurate simulations of fan rotor-stator interactions. [Cleveland, Ohio: National Aeronautics and Space Administration, Lewis Research Center, Institute for Computational Mechanics in Propulsion, 1990.

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6

Boretti, A. A. Three-dimensional Euler time accurate simulations of fan rotor-stator interactions. [Cleveland, Ohio: National Aeronautics and Space Administration, Lewis Research Center, Institute for Computational Mechanics in Propulsion, 1990.

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7

Federico, Cecconi, Hrsg. La società dei beni: Dalla famiglia allo Stato alle imprese private. Torino: Bollati Boringhieri, 2006.

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8

United States. Army Test and Evaluation Command, Hrsg. TECOM, modeling & simulation. [Aberdeen Proving Ground, MD: U.S. Army Test and Evaluation Command, 1994.

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9

Center, Ames Research, Hrsg. Gas-Grain Simulation Facility. [Moffett Field, Calif.]: NASA Ames Research Center, 1993.

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10

Center, Ames Research, Hrsg. Gas-Grain Simulation Facility. [Moffett Field, Calif.]: NASA Ames Research Center, 1993.

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11

Center, Ames Research, Hrsg. Gas-Grain Simulation Facility. [Moffett Field, Calif.]: NASA Ames Research Center, 1993.

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12

1969-, Ezra Marni, Hrsg. CQ's White House media simulation. Washington, D.C: CQ Press, 2002.

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13

Hungerford, Roger D. MTCLIM: A mountain microclimate simulation model. Ogden, Utah]: U.S. Dept. of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, 1989.

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14

United States. National Aeronautics and Space Administration., Hrsg. Gas-grain simulation facility (CGSF). [Washington, DC]: National Aeronautics and Space Administration, 1993.

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15

United States. National Aeronautics and Space Administration., Hrsg. Gas-grain simulation facility (CGSF). [Washington, DC]: National Aeronautics and Space Administration, 1993.

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16

United States. National Aeronautics and Space Administration., Hrsg. Gas-grain simulation facility (CGSF). [Washington, DC]: National Aeronautics and Space Administration, 1993.

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17

M, Petach, und Ames Research Center, Hrsg. Gas-Grain Simulation experiment module conceptual design and Gas-Grain Simulation Facility breadboard development. [Moffett Field, Calif.]: National Aeronautics and Space Administration, Ames Research Center, 1993.

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18

M, Petach, und Ames Research Center, Hrsg. Gas-Grain Simulation experiment module conceptual design and Gas-Grain Simulation Facility breadboard development. [Moffett Field, Calif.]: National Aeronautics and Space Administration, Ames Research Center, 1993.

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19

Jones, Phillip N. Evaluating the contributions of virtual simulations to combat effectiveness. Arlington, VA: U.S. Army Research Institute for the Behavioral and Social Sciences, 2006.

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20

Esmark, Kai. Device simulation of ESD protection elements. Konstanz: Hartung-Gorre, 2002.

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21

Schmid, Jon. Congressional simulation for high school American government classes. [St. Charles, MO: s.n.], 1991.

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22

Schmid, Jon. Congressional simulation for high school American government classes. [St. Charles, MO: s.n.], 1991.

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23

Dotger, Benjamin H. I had no idea!, clinical simulations for teacher development. Charlotte, North Carolina: Information Age Pub., Inc., 2013.

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24

Capone, Charles A. The FHA budget subsidy simulation system: A dynamic simulation model of budget outcomes for FHA single-family mortgage insurance. Washington, D.C.]: Congressional Budget Office, 2003.

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25

Sanders, William R. Development of the Reactive Planning Strategies Simulation (REPSS). Arlington, Va: U.S. Army Research Institute for the Behavioral and Social Sciences, 2006.

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26

National Research Council (U.S.). Committee on Modeling and Simulation for Defense Transformation. Defense modeling, simulation, and analysis: Meeting the challenge. Washington, D.C: The National Academies Press, 2006.

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27

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

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Annotation:

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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28

Shlechter, Theodore M. Structured simulation-based training programs: History and lessons learned. Alexandria, Va: U.S. Army Research Institute for the Behavioral and Social Sciences, 2000.

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29

Shlechter, Theodore M. Structured simulation-based training programs: History and lessons learned. Alexandria, Va: U.S. Army Research Institute for the Behavioral and Social Sciences, 2000.

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30

J, Lerman David, Bell Herbert H, Armstrong Laboratory (U.S.) und Hughes Training, Inc. Training Operations., Hrsg. Evaluation of modular semi-automated force air entity simulation. Brooks Air Force Base, Tex: Armstrong Laboratory, Air Force Materiel Command, 1996.

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31

Allen, Patrick D. Simulation support of large-scale exercises: A REFORGER case study. Santa Monica, CA: Rand, 1992.

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32

Tregub, Ilona, und Tat'yana Goroshnikova. A simulation model of decision-making. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1030572.

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Annotation:

A tutorial on the basics of simulation modelling in problems of managerial decision-making, illustrated by numerous practical examples. Contains material contributing to the deepening of theoretical knowledge and practical skills of the student in the application of computer simulation modeling of economic, social and technological systems for the formation, adoption and implementation of managerial decisions. Meets the requirements of Federal state educational standards of higher education of the last generation. Intended for graduate students in the study of disciplines "Mathematical and instrumental methods of decision support" (area of training 09.04.03 Applied Informatics, master's program "Applied information science in analytical Economics") and "simulation modeling of economic and information systems (advanced course)" (specialty 01.04.02 - "Applied mathematics and computer science", master program "Quantitative methods in Finance and Economics"). Will be useful to undergraduate students as well as middle managers and senior managers to understand the methods of computer modeling in support of decision making and developing them on the basis of sound management decisions.

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33

National Research Council (U.S.). Computer Science and Telecommunications Board. Committee on Modeling and Simulation--Opportunities for Collaboration Between the Defense and Entertainment Research Communities., Hrsg. Modeling and simulation: Linking entertainment and defense. Washington, DC: National Academy Press, 1997.

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34

1947-, Glennon Michael J., Hrsg. Foreign relations and national security law: Cases, materials, and simulations. St. Paul, Minn: West Pub. Co., 1987.

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35

1947-, Glennon Michael J., Murphy Sean D und Franck Thomas M, Hrsg. Foreign relations and national security law: Cases, materials, and simulations. 3. Aufl. St. Paul, MN: Thomson/West, 2008.

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36

Halford, Keith J. Ground-water flow in the surficial aquifer system and potential movement of contaminants from selected waste-disposal sites at Cecil Field Naval Air Station, Jacksonville, Florida. Tallahassee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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37

Halford, Keith J. Ground-water flow in the surficial aquifer system and potential movement of contaminants from selected waste-disposal sites at Cecil Field Naval Air Station, Jacksonville, Florida. Tallahassee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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38

Halford, Keith J. Ground-water flow in the surficial aquifer system and potential movement of contaminants from selected waste-disposal sites at Cecil Field Naval Air Station, Jacksonville, Florida. Tallahassee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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39

Halford, Keith J. Ground-water flow in the surficial aquifer system and potential movement of contaminants from selected waste-disposal sites at Cecil Field Naval Air Station, Jacksonville, Florida. Tallahassee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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40

Halford, Keith J. Ground-water flow in the surficial aquifer system and potential movement of contaminants from selected waste-disposal sites at Cecil Field Naval Air Station, Jacksonville, Florida. Tallahassee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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41

Halford, Keith J. Ground-water flow in the surficial aquifer system and potential movement of contaminants from selected waste-disposal sites at Cecil Field Naval Air Station, Jacksonville, Florida. Tallahassee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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42

Halford, Keith J. Ground-water flow in the surficial aquifer system and potential movement of contaminants from selected waste-disposal sites at Cecil Field Naval Air Station, Jacksonville, Florida. Tallahassee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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43

Halford, Keith J. Ground-water flow in the surficial aquifer system and potential movement of contaminants from selected waste-disposal sites at Cecil Field Naval Air Station, Jacksonville, Florida. Tallahassee, Fla: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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44

United States. General Accounting Office. Accounting and Information Management Division. Budget issues: July 2000 update of GAO's long-term fiscal simulations. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 2000.

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45

Wenzel, Harry G. An evaluation of the MULTSED simulation model to predict sediment yield. Champaign, Ill: US Army Corps of Engineers, Construction Engineering Research Laboratory, 1987.

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46

1959-, Anderson Robert H., Hrsg. Improving the composability of Department of Defense models and simulations. Santa Monica, CA: Rand, 2004.

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47

Finley, Dorothy L. Combined arms structured simulation-based training programs: Reflections of key developers. Alexandria, Va: U.S. Army Research Institute for the Behavioral and Social Sciences, 2000.

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48

Ettedgui, Emile. The use of microworld simulations to train theater-level CSS staffs: Training development considerations. Santa Monica, CA: RAND, 1999.

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49

Franck, Thomas M. Foreign relations and national security law: Cases, materials, and simulations. 2. Aufl. St. Paul, Minn: West Pub. Co., 1993.

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50

Astrahancevaa, Irina, Sergey Bobkov, Vadim Mizonov und Sergey Boykov. Modeling of systems. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1831624.

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The textbook discusses general issues of system modeling, analytical, empirical and simulation approaches to modeling. Typical mathematical schemes used in the analytical approach, methods and tools of simulation modeling of systems are given. Attention is also paid to network and agent-based alternative approaches to modeling. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is intended for undergraduate students studying in the direction of 09.03.02 "Information systems and technologies", whose working curricula include the discipline "Systems Modeling". It is assumed that the training plans also include training courses "Discrete Mathematics", "Mathematical logic and theory of algorithms", "System analysis". The manual will also be useful for master's degree students studying in the direction 09.04.02 "Information systems and technologies" (discipline "Models of information processes and systems").

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