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Libri sul tema "Computer simulation"

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Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 7 luglio 2024

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1

Watson, Hugh J. Computer simulation. 2^a ed. Chichester: Wiley, 1989.

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2

Watson, Hugh J. Computer simulation. 2^a ed. New York: Wiley, 1989.

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3

Dr. Holm, Christian, e Kurt Prof. Dr. Kremer, a cura di. Advanced Computer Simulation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b98052.

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4

Beisbart, Claus, e Nicole J. Saam, a cura di. Computer Simulation Validation. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-70766-2.

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5

United States. Office of Naval Research, a cura di. ENEWS, computer simulation. [Washington, DC: Office of Naval Research, 1990.

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6

Stauffer, Dietrich, Friedrich W. Hehl, Volker Winkelmann e John G. Zabolitzky. Computer Simulation and Computer Algebra. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-97091-7.

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7

Stauffer, Dietrich, Friedrich W. Hehl, Volker Winkelmann e John G. Zabolitzky. Computer Simulation and Computer Algebra. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-97174-7.

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8

Stauffer, Dietrich, Friedrich W. Hehl, Nobuyasu Ito, Volker Winkelmann e John G. Zabolitzky. Computer Simulation and Computer Algebra. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78117-9.

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9

Allen, M. P. Computer simulation of liquids. Oxford [England]: Clarendon Press, 1987.

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10

Allen, M. P. Computer simulation of liquids. Oxford [England]: Clarendon Press, 1989.

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11

Hockney, Roger W. Computer simulation using particles. Bristol [England]: A. Hilger, 1988.

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12

A, Colbourn E., a cura di. Computer simulation of polymers. Essex, England: Longman Scientific & Technical, 1993.

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13

Neelamkavil, Francis. Computer simulation and modelling. Chichester [Sussex, England]: Wiley, 1987.

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14

Allen, M. P. Computer simulation of liquids. Oxford [England]: Clarendon Press, 1996.

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15

Michael, Pidd, a cura di. Computer modellingfor discrete simulation. Chichester: Wiley, 1989.

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16

J, Roe R., e American Chemical Society. Division of Polymer Chemistry., a cura di. Computer simulation of polymers. Englewood Cliffs, N.J: Prentice Hall, 1991.

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17

Nigel, Gilbert G., e Doran Jim, a cura di. Simulating societies: The computer simulation of social phenomena. London: UCL Press, 1994.

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18

Engineers, Society of Automotive, e International Off-Highway & Powerplant Congress & Exposition (1998 : Milwaukee, Wis.), a cura di. Virtual prototyping, computer modeling, and computer simulation. Warrendale, PA: Society of Automotive Engineers, 1998.

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19

Saleh, Resve. Mixed-Mode Simulation and Analog Multilevel Simulation. Boston, MA: Springer US, 1994.

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20

Aboelela, Emad. Network simulation experiments manual. 2^a ed. Amsterdam: Elsevier/Morgan Kaufmann, 2008.

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21

Saleh, Resve A. Mixed-mode simulation and analog multilevel simulation. Boston: Kluwer Academic, 1994.

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22

1934-, Zobrist George W., e Leonard James V, a cura di. Simulation systems. Amsterdam: Gordon & Breach, 2000.

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23

Ohnari, Mikihiko. Simulation engineering. Tokyo: Ohmsha, 1998.

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24

Ross, Sheldon M. Simulation. 3^a ed. San Diego: Academic Press, 2002.

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25

Ross, Sheldon M. Simulation. 2^a ed. San Diego: Academic Press, 1997.

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26

Thalmann, Daniel. Crowd Simulation. 2^a ed. London: Springer London, 2013.

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27

Rhea, Randall W. Oscillator design and computer simulation. 2^a ed. Atlanta, Ga: Noble Pub. Corp., 2000.

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28

Nayak, Ajit Kumar, Satyananda Champati Rai e Rajib Mall. Computer Network Simulation Using NS2. Boca Raton : Taylor & Francis, CRC Press, 2016.: CRC Press, 2016. http://dx.doi.org/10.1201/9781315367286.

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29

Jelfs, Kim, a cura di. Computer Simulation of Porous Materials. Cambridge: Royal Society of Chemistry, 2021. http://dx.doi.org/10.1039/9781839163319.

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30

Stuyck, Tuur. Cloth Simulation for Computer Graphics. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-02597-6.

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31

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

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Abstract (sommario):

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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32

Allen, M. P., e D. J. Tildesley, a cura di. Computer Simulation in Chemical Physics. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1679-4.

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33

Terzopoulos, Demetri, e Daniel Thalmann, a cura di. Computer Animation and Simulation ’95. Vienna: Springer Vienna, 1995. http://dx.doi.org/10.1007/978-3-7091-9435-5.

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34

van Gunsteren, Wilfred F., Paul K. Weiner e Anthony J. Wilkinson, a cura di. Computer Simulation of Biomolecular Systems. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-017-1120-3.

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35

Matsumoto, Hiroshi, e Tetsuya Sato, a cura di. Computer Simulation of Space Plasmas. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5321-5.

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36

Lenhard, Johannes. Computer Simulation. A cura di Paul Humphreys. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199368815.013.42.

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Abstract (sommario):

This article interprets computer simulation modeling as a new type of mathematical modeling that comprises a number of interdependent components, among them experimentation, visualization, and adaptability. Furthermore, it is argued, simulation modeling can be characterized as a particular style of reasoning, namely a combinatorial style, that assembles and balances elements from different other styles. Two examples are discussed that exemplify the transformative force of this style: what counts as “understanding phenomena” and what counts as a “solution.” Both are seminal pieces of traditional mathematical modeling and both are transformed, if not inverted, in simulation modeling. Finally, some challenges are considered that computer simulations pose for philosophy of science.

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37

Osais, Yahya E. Computer Simulation. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315120294.

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38

Cvetkovic, Dragan, a cura di. Computer Simulation. InTech, 2017. http://dx.doi.org/10.5772/65134.

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39

Osais, Yahya E. Computer Simulation. Taylor & Francis Group, 2020.

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40

Allen, Michael P., e Dominic J. Tildesley. Computer Simulation of Liquids. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803195.001.0001.

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Abstract (sommario):

This book provides a practical guide to molecular dynamics and Monte Carlo simulation techniques used in the modelling of simple and complex liquids. Computer simulation is an essential tool in studying the chemistry and physics of condensed matter, complementing and reinforcing both experiment and theory. Simulations provide detailed information about structure and dynamics, essential to understand the many fluid systems that play a key role in our daily lives: polymers, gels, colloidal suspensions, liquid crystals, biological membranes, and glasses. The second edition of this pioneering book aims to explain how simulation programs work, how to use them, and how to interpret the results, with examples of the latest research in this rapidly evolving field. Accompanying programs in Fortran and Python provide practical, hands-on, illustrations of the ideas in the text.

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41

Jackson, J. Howard, Marietta Spring e Michael E. Rider. Excursions International: Computer Applications Simulation: A Computer Applications Simulation. 3^a ed. Thomson South-Western, 1996.

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42

Understanding Computer Simulation. Bookboon, 2013.

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43

Understanding Computer Simulation. Bookboon.com, 2013.

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44

Heermann, Dieter W. Computer Simulation Methods. Springer-Verlag New York, Inc, 2002.

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45

Understanding Computer Simulation. Bookboon.com, 2013.

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46

Understanding Computer Simulation. Bookboon.com, 2013.

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47

Understanding Computer Simulation. Bookboon.com, 2013.

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48

S, Suresh, Kessler, I. M. Ward e D. R. Clarke. Computer Simulation Mcrse. University of Cambridge ESOL Examinations, 2000.

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49

Understanding Computer Simulation. Bookboon.com, 2013.

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50

Racynski, S. Modeling And Simulation: Computer Science of Illusion (Computer Simulation & Modelling). Research Studies Pr, 2007.

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