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Books on the topic 'Data dynamics'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Unit, Engineering Sciences Data. Engineering sciences data: dynamics. London: Engineering Sciences Data Unit, 1991.

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2

Inmon, William H. The dynamics of data base. London: Prentice-Hall International, 1986.

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3

Sengupta, Jati K. Dynamics of Data Envelopment Analysis. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8506-4.

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4

J, Bird Thomas, ed. The dynamics of data base. Englewood Cliffs, N.J: Prentice-Hall, 1986.

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5

K, Bose T. Computational fluid dynamics. New York: Wiley, 1988.

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6

Chung, T. J. Computational fluid dynamics. 2nd ed. Cambridge: Cambridge University Press, 2010.

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7

Hogendoorn, R. A. Data compression in computational fluid dynamics. Amsterdam: National Aerospace Laboratory, 1986.

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8

H, Bunzel, Jensen Peter 1959-, and Westergård-Nielsen Niels C, eds. Panel data and labour market dynamics. Amsterdam: North-Holland, 1993.

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9

Devaney, Robert L., Kit C. Chan, and P. B. Vinod Kumar, eds. Topological Dynamics and Topological Data Analysis. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0174-3.

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10

Urban dynamics. Waltham, Mass: Pegasus Communications, 1999.

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11

Lord, Kenniston W. Dynamics of symphony. Homewood, Ill: Dow Jones-Irwin, 1986.

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12

F, Edgar Thomas, and Mellichamp Duncan A, eds. Process dynamics and control. New York: Wiley, 1989.

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13

Seborg, Dale E. Process dynamics and control. 3rd ed. Hoboken, N.J: John Wiley & Sons, Inc., 2011.

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14

L, Kraemer Kenneth, ed. The dynamics of computing. New York: Columbia University Press, 1985.

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15

Process dynamics and control. 3rd ed. Hoboken, N.J: John Wiley & Sons, Inc., 2011.

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16

Timothy, Dunne, Jensen J. Bradford, and Roberts Mark J, eds. Producer dynamics: New evidence from micro data. Chicago: University of Chicago Press, 2009.

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17

Toriumi, Mitsuhiro. Global Seismicity Dynamics and Data-Driven Science. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-5109-3.

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18

Anderson, David L. T., and Jürgen Willebrand, eds. Oceanic Circulation Models: Combining Data and Dynamics. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-1013-3.

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19

Zammit-Mangion, Andrew, Michael Dewar, Visakan Kadirkamanathan, Anaïd Flesken, and Guido Sanguinetti. Modeling Conflict Dynamics with Spatio-temporal Data. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01038-0.

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20

T, Anderson D. L., and Willebrand J. 1941-, eds. Oceanic circulation models: Combining data and dynamics. Dordrecht: Published in cooperation with NATO Scientific Affairs Division [by] Kluwer Academic Publishers, 1989.

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21

1951-, Pulliam T. H., and Zingg D. W. 1958-, eds. Fundamentals of computational fluid dynamics. Berlin: Springer, 2001.

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22

Pieter, Wesseling. Principles of computational fluid dynamics. Heidelberg: Springer, 2009.

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23

B. Wieb van der Meer. Resonance energy transfer: Theory and data. New York: VCH, 1994.

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24

Andrew, Kurdila, and Craig Roy R. 1934-, eds. Fundamentals of structural dynamics. 2nd ed. Hoboken, NJ: John Wiley, 2006.

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25

F, Edgar Thomas, and Mellichamp Duncan A, eds. Process dynamics and control. 2nd ed. Hoboken, NJ: Wiley, 2004.

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26

F, Edgar Thomas, and Mellichamp Duncan A, eds. Process dynamics and control. New York: Wiley, 1989.

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27

A, Mellichamp Duncan, and Edgar Thomas F, eds. Process dynamics and control. 2nd ed. Hoboken, NJ: Wiley, 2004.

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28

Computational fluid dynamics: The basics with applications. New York: McGraw-Hill, 1994.

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29

van Schalkwyk, François, Stefaan G. Verhulst, Gustavo J. Magalhães, Juan Pane, and Johanna Walker. The Social Dynamics of Open Data. African Minds, 2017. http://dx.doi.org/10.47622/978-1-928331-56-8.

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Abstract:

The Social Dynamics of Open Data is a collection of peer reviewed papers presented at the 2nd Open Data Research Symposium (ODRS) held in Madrid, Spain, on 5 October 2016. Research is critical to developing a more rigorous and fine-combed analysis not only of why open data is valuable, but how it is valuable and under what specific conditions. The objective of the Open Data Research Symposium and the subsequent collection of chapters published here is to build such a stronger evidence base. This base is essential to understanding what open datas impacts have been to date, and how positive impacts can be enabled and amplified. Consequently, common to the majority of chapters in this collection is the attempt by the authors to draw on existing scientific theories, and to apply them to open data to better explain the socially embedded dynamics that account for open datas successes and failures in contributing to a more equitable and just society.

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30

Ibrahim, Raouf A. Vibro-Impact Dynamics. Springer, 2009.

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31

Computational Fluid Dynamics. Cambridge University Press, 2002.

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32

Chung, T. J. Computational Fluid Dynamics. Cambridge University Press, 2012.

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33

Chung, T. J. Computational Fluid Dynamics. Cambridge University Press, 2010.

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34

Chung, T. J. Computational Fluid Dynamics. Cambridge University Press, 2010.

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35

Chung, T. J. Computational Fluid Dynamics. University of Cambridge ESOL Examinations, 2001.

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36

Chung, T. J. Computational Fluid Dynamics. Cambridge University Press, 2010.

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37

Computational Fluid Dynamics. Cambridge University Press, 2014.

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38

Chung, T. J. Computational Fluid Dynamics. Cambridge University Press, 2011.

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39

Chung, T. J. Computational Fluid Dynamics. Cambridge University Press, 2010.

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40

Schalkwyk, Francois van. The Social Dynamics of Open Data. African Minds, 2017.

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41

W, Ryan J., and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Crustal Dynamics Project data analysis--1986. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

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42

United States. National Aeronautics and Space Administration, ed. Crustal Dynamics Data Information System: CDDIS. [Washington, DC: National Aeronautics and Space Administration, 1993.

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43

W, Ryan J., and Goddard Space Flight Center, eds. Crustal Dynamics Project data analysis-- 1987. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1988.

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44

W, Ryan J., and Goddard Space Flight Center, eds. Crustal Dynamics Project data analysis-- 1987. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1987.

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45

Lewis, John M., Sivaramakrishnan Lakshmivarahan, and Rafal Jabrzemski. Forecast Error Correction using Dynamic Data Assimilation. Springer, 2016.

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46

Lewis, John M., Sivaramakrishnan Lakshmivarahan, and Rafal Jabrzemski. Forecast Error Correction using Dynamic Data Assimilation. Springer, 2018.

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47

Lewis, John M., Sivaramakrishnan Lakshmivarahan, and Rafal Jabrzemski. Forecast Error Correction Using Dynamic Data Assimilation. Springer London, Limited, 2016.

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48

Computational fluid dynamics. Warrendale, PA: Society of Automotive Engineers, 2004.

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49

Engineers, Society of Automotive, and SAE World Congress (2005 : Detroit, Mich.), eds. Computational fluid dynamics. Warrendale, Pa: Society of Automotive Engineers, 2005.

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50

Sturges, Leroy D., and William F. Riley. Engineering Mechanics: Dynamics. Wiley & Sons, Incorporated, John, 1993.

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