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1

1947-, Trollip Stanley R., and Alessi Stephen M. 1951-, eds. Multimedia for learning: Methods and development. 3rd ed. Boston: Allyn and Bacon, 2001.

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2

1947-, Trollip Stanley R., ed. Computer-based instruction: Methods and development. Englewood Cliffs, N.J: Prentice-Hall, 1985.

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3

1947-, Trollip Stanley R., ed. Computer-based instruction: Methods and development. 2nd ed. Englewood Cliffs, N.J: Prentice Hall, 1991.

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4

Comaniciu, Dorin, Rudolf Mester, Kenichi Kanatani, and David Suter, eds. Statistical Methods in Video Processing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b104157.

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5

Data driven statistical methods. London: Chapman & Hall, 1998.

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6

Grigorev, Anatoliy. Methods and algorithms of data processing. ru: INFRA-M Academic Publishing LLC., 2017. http://dx.doi.org/10.12737/22119.

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In this manual some methods and algorithms of data processing, the sequence of the solution of problems of processing and the analysis of data for creation of behavior model of an object taking into account all a component of his mathematical model are considered. Types of technological methods of use of software and hardware for the solution of tasks in this area are described. Algorithms of distributions, regressions of temporary ranks, their transformation for the purpose of receiving mathematical models and the forecast of behavior of information and economic systems (objects) are considered. Conforms to requirements of the Federal state educational standard of the higher education of the last generation. For students of economic specialties, experts, graduate students.
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7

Grigor'ev, Anatoliy, and Evgeniy Isaev. Methods and algorithms of data processing. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1032305.

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The tutorial deals with selected methods and algorithms of data processing, the sequence of solving problems of processing and analysis of data to create models behavior of the object taking into account all the components of its mathematical model. Describes the types of technological methods for the use of software and hardware for solving problems in this area. The algorithms of distributions, regressions vremenny series, transform them with the aim of obtaining mathematical models and prediction of the behavior information and economic systems (objects). The second edition is supplemented by materials that are in demand by researchers in the part of the correct use of clustering algorithms. Are elements of the classification algorithms to identify their capabilities, strengths and weaknesses. Are the procedures of justification and verify the adequacy of the results of the cluster analysis, conducted a comparison and evaluation of different clustering techniques, given information about visualization of multidimensional data and examples of practical application of clustering algorithms. Meets the requirements of Federal state educational standards of higher education of the last generation. For students of economic specialties, specialists, and graduate students.
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8

Kiselev, I︠U︡. V. (I︠U︡riĭ Vasilʹevich), ed. Statistical methods of geophysical data processing. Singapore: World Scientific, 2010.

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9

McQuillin, Lon B. Computers in video production. White Plains, NY: Knowledge Industry Publications, 1986.

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10

Brezinski, Claude. Extrapolation methods: Theory and practice. Amsterdam: North-Holland, 1991.

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11

Ismail-Zadeh, Alik. Computational methods for geodynamics. Cambridge: Cambridge University Press, 2010.

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12

McCalla, Richard. Structured COBOL programming and data-processing methods. Monterey, Calif: Brooks/Cole Pub. Co., 1985.

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13

McCalla, Richard. Structured COBOL programming and data-processing methods. Monterey, Calif: Brooks/Cole Pub. Co., 1985.

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14

Hanna, Owen T. Computational methods in chemical engineering. Englewood Cliffs, N.J: Prentice Hall PTR, 1995.

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15

Computer methods in chemical engineering. Boca Raton, FL: Taylor & Francis, 2012.

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16

Odom, Wendell. CCNA video mentor. Indianapolis, IN: Cisco Press, 2007.

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17

Odom, Wendell. CCNA video mentor. 2nd ed. Indianapolis, Ind: Cisco Press, 2008.

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18

Mikaėli͡an, A. L. Optical methods for information technologies. [New York, N.Y.]: Allerton Press, 1994.

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19

1945-, Lewis Philip, and Thornhill Adrian, eds. Research methods for business students. 6th ed. Harlow, England: Pearson, 2012.

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20

Johnson, Michael L. Essential numerical computer methods. London: Academic, 2010.

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21

Computational methods in physics and engineering. Englewood Cliffs, N.J: Prentice Hall, 1992.

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22

Charles, Harvey. Databases in historical research: Theory, methods and applications. London: Macmillan, 1996.

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23

1953-, Press Jon, ed. Databases in historical research: Theory, methods, and applications. New York: St. Martin's Press, 1996.

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24

Desktop digital video. Indianapolis, IN: Prompt Publications, 1997.

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25

E, Thomson Richard, ed. Data analysis methods in physical oceanography. 2nd ed. Amsterdam: Elsevier, 2001.

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26

E, Thomson Richard, ed. Data analysis methods in physical oceanography. Kidlington, Oxford: Pergamon, 1998.

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27

Packet video: Modeling and signal processing. Boston: Artech House, 1994.

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28

Statistical Methods in Video Processing Workshop (2002 Copenhagen, Denmark). Proceedings of the Statistical Methods in Video Processing Workshop. Clayton, Vic: Monash University - Dept. Electrical and Computer Systems Engineering, 2002.

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29

R, Lindfield G., ed. Numerical methods using Matlab. 2nd ed. Upper Saddle River, NJ: Prentice Hall, 2000.

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30

D, Fink Kurtis, ed. Numerical methods using MATLAB. 4th ed. Upper Saddle River, N.J: Pearson, 2004.

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31

Penny, J. E. T. (John E. T.), ed. Numerical methods: Using MATLAB. 3rd ed. Waltham, MA: Academic Press, 2012.

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32

D, Fink Kurtis, and Mathews John H. 1943-, eds. Numerical methods using MATLAB. 3rd ed. Upper Saddle River, N.J: Prentice Hall, 1999.

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33

R, Lindfield G., ed. Numerical methods using MATLAB. New York: Ellis Horwood, 1995.

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34

1934-, Björck Åke, ed. Numerical methods in scientific computing. Philadelphia: Society for Industrial and Applied Mathematics, 2008.

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35

Applied numerical methods with software. Englewood Cliffs, N.J: Prentice Hall, 1991.

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36

M, Erisman A., and Reid John Ker, eds. Direct methods for sparse matrices. Oxford [Oxfordshire]: Clarendon Press, 1986.

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37

Metagenomics: Theory, methods and applications. Norfolk, UK: Caister Academic, 2010.

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38

Gross, Jonathan L. Combinatorial methods with computer applications. Boca Raton, FL: Chapman & Hall/CRC, 2008.

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39

Mullineux, Glen. CAD: Computational concepts and methods. London: Kogan Page, 1986.

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40

Cohen, Joel S. Computer alegebra and symbolic computation: Mathematical methods. Natick, MA: AK Peters, 2003.

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41

Computer algebra and symbolic computation: Mathematical methods. Natick, Mass: AK Peters, 2002.

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42

Introduction to precise numerical methods. Amsterdam: Academic Press, 2007.

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43

1945-, Lewis Philip, and Thornhill Adrian, eds. Research methods for business students. 5th ed. New York: Prentice Hall, 2009.

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44

Chareton, Peter G. Computational mathematics: Theory, methods and applications. New York: Nova Science Publishers, 2011.

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45

Spurr, Kathy. CASE: Methods and tools. New York: Prentice Hall, 1990.

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46

Numerical methods using MATLAB. New York: Apress, 2014.

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47

1934-, Björck Åke, and Björck Åke 1934-, eds. Numerical methods. Mineola, N.Y: Dover Publications, 2003.

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48

Perry, William E. Effective methods of EDP quality assurance. 2nd ed. Wellesley, Mass: QED Information Sciences, 1987.

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49

Nels, Johnson. How to digitize video. New York: Wiley & Sons, 1994.

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50

Digital video & PC editing. Chicago: Contemporary Books, 2003.

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