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1

Roach, Victor D. Guides to methods of graphical representation. Port of Spain: The Office, 1987.

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2

Duch, W. GRMS or Graphical Representation of Model Spaces. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-93347-9.

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3

GRMS, or, Graphical representation of model spaces. Berlin: Springer-Verlag, 1986.

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4

Demiroz, Ahu. A study of graphical representation of knitted structures. Manchester: UMIST, 1998.

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5

Pruvost, Norman L. The Hansen-Roach cross sections: A graphical representation. Los Alamos, N.M: Los Alamos National Laboratory, 1988.

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6

Pruvost, Norman L. The Hansen-Roach cross sections: A graphical representation. Los Alamos, N.M: Los Alamos National Laboratory, 1988.

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7

Pruvost, Norman L. The Hansen-Roach cross sections: A graphical representation. Los Alamos, N.M: Los Alamos National Laboratory, 1988.

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8

Korneev, Viktor, Larisa Gagarina, and Mariya Korneeva. Visualization in scientific research. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1029660.

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The textbook describes the methods of graphical representation of the results of the calculation of physical and engineering problems, represented by specialized programs and operating system tools. The graphic capabilities of the MATLAB package, which, along with powerful calculation tools, has excellent computer graphics, are studied in detail. A number of visualization tasks are solved by computer graphics programming methods in C++. The GDI GUI functions are used from the set of system API functions that the Windows operating system provides to the user. All examples in C++ are tested in the Visual Studio 2008 project development environment. The issues of interaction between the MATLAB package and programs written in C++ in the Visual Studio environment are considered. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students studying in the field of training "Software Engineering".
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9

Visualizing time: Designing graphical representations for statistical data. New York: Springer, 2012.

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10

Pattanayak, P. M. A graphic representation of Vedanta sara. New Delhi: Harman Pub. House, 1987.

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11

Matthias, Steinbrecher, and Kruse Rudolf, eds. Graphical models: Representations for learning, reasoning and data mining. 2nd ed. Chichester, West Sussex, UK: John Wiley, 2009.

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12

Jobling, Paul. Graphic design: Reproduction and representation since 1800. Manchester: Manchester University Press, 1996.

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13

in 't Veld, Laurike. The Representation of Genocide in Graphic Novels. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03626-3.

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14

Sarkar, H. Symbols and graphic representations in Indian inscriptions. New Delhi: Aryan Books International, 1999.

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15

Atkins, Laura. Graphic depictions: The representation of history and memory in three graphic novels. London: University of Surrey Roehampton, 2002.

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16

Denali National Park, an Alaskan ecosystem: Creating graphical representations of data. New York: Rosen Pub. Group, 2006.

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17

F, Blackwell Alan, Marriott Kim, and Shimojima Atsushi 1962-, eds. Diagrammatic representation and inference: Third international conference, Diagrams 2004, Cambridge, UK, March 22-24, 2004 : proceedings. Berlin: Springer, 2004.

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18

Gem, Stapleton, Howse John, and Lee John, eds. Diagrammatic representation and inference: 5th international conference, Diagrams 2008, Herrsching, Germany, September 19-21, 2008 ; proceedings. Berlin: Springer, 2008.

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19

Laseau, Paul. Architectural representation handbook: Traditional and digital techniques for graphic communication. New York: McGraw-Hill, 2000.

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20

Avramopoulou, Eirini. Porno-Graphics and Porno-Tactics: Desire, Affect, and Representation in Pornography. Earth, Milky Way: punctum books, 2016.

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21

Pashapa, Petros. Development in graphic representation in children between 5 and 13 years. [Harare: s.n.], 2008.

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22

Pashapa, Petros. Development in graphic representation in children between 5 and 13 years. [Harare: s.n.], 2008.

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23

Kountchev, Roumen, Srikanta Patnaik, Junsheng Shi, and Margarita N. Favorskaya, eds. Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3863-6.

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24

Kountchev, Roumen, Srikanta Patnaik, Junsheng Shi, and Margarita N. Favorskaya, eds. Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3867-4.

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25

Kellgren, Lee. Natural abstraction: Minimal representations of complex natural phenomena in computer graphics. [London]: Middlesex Polytechnic, 1990.

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26

Walbiri iconography: Graphic representation and cultural symbolism in a central Australian society. Chicago: University of Chicago Press, 1986.

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27

Zyda, Michael J. Parametric representation and polygonal decomposition of curved surfaces. Monterey, California: Naval Postgraduate School, 1986.

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28

S, Witeck Kimberly, ed. Introduction to representation: Grades 6-8. Portsmouth, NH: Heinemann, 2008.

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29

Asvesta, Anastasia. The concept of functions in the Greek national curriculum; problems of interpretation of their graphical representations. [Guildford]: [University of Surrey], 1995.

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30

George, Varghese P. Netgraphs: A graphic representation of adjacency matrices as a tool for network analysis. Cambridge, Mass: Sloan School of Management, Massachusetts Institute of Technology, 1989.

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31

I, Badler Norman, Tsotsos John K, SIGGRAPH, and SIGART, eds. Motion: Representation and perception : proceedings of the ACM SIGGRAPH/SIGART Interdisciplinary Workshop on Motion, Representation and Perception, held in Toronto, Ontario, Canada, 1983. New York: North-Holland, 1986.

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32

Geldenhuys, Aletta E. Knowledge representation and relation nets. Boston: Kluwer Academic Publishers, 1999.

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33

As, Imdat. Dynamic digital representations in architecture: Visions in motion. New York: Taylor & Francis, 2008.

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34

Sanz-L�zaro, Carlos. Graphical representation and statistical analysis of data. Universidad de Alicante, 2018. http://dx.doi.org/10.14198/graphical-representation-and-statistical-analysis-of-data.

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35

Project, School Mathematics. SMP 11-16 Graphical Representation Answer book. Cambridge University Press, 1992.

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36

Romberg, Thomas A., Thomas P. Carpenter, and Elizabeth Fennema. Integrating Research on the Graphical Representation of Functions. Taylor & Francis Group, 2016.

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37

Romberg, Thomas A., Elizabeth Fennema, and Thomas P. Carpenter, eds. Integrating Research on the Graphical Representation of Functions. Routledge, 2012. http://dx.doi.org/10.4324/9780203052617.

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38

A, Romberg Thomas, Fennema Elizabeth, and Carpenter Thomas P, eds. Integrating research on the graphical representation of functions. Hillsdale, N.J: Lawrence Erlbaum Associates, 1993.

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39

Agustín-Hernández, Luis, Aurelio Vallespín Muniesa, and Angélica Fernández-Morales. Graphical Heritage: Volume 2 - Representation, Analysis, Concept and Creation. Springer, 2020.

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40

Duch, Wlodzislaw. GRMS or Graphical Representation of Model Spaces: Vol. 1 Basics. Springer, 1986.

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41

Project, School Mathematics. SMP 11-16 Graphical Representation Review book Y7 and Y8 (pack of five). Cambridge University Press, 1996.

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42

Cockett, J. R. B., and R. A. G. Seely. Proof Theory of the Cut Rule. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198748991.003.0010.

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This chapter describes the categorical proof theory of the cut rule, a very basic component of any sequent-style presentation of a logic, assuming a minimum of structural rules and connectives, in fact, starting with none. It is shown how logical features can be added to this basic logic in a modular fashion, at each stage showing the appropriate corresponding categorical semantics of the proof theory, starting with multicategories, and moving to linearly distributive categories and *-autonomous categories. A key tool is the use of graphical representations of proofs (“proof circuits”) to represent formal derivations in these logics. This is a powerful symbolism, which on the one hand is a formal mathematical language, but crucially, at the same time, has an intuitive graphical representation.
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43

United States. National Aeronautics and Space Administration., ed. GRASP/Ada: Graphical representation of algorithms, structures, and processes for Ada : GRASP/Ada reverse engineering tools for Ada : final report. Auburn, Ala: Dept. of Computer Science and Engineering, Auburn University, 1995.

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44

United States. National Aeronautics and Space Administration., ed. GRASP/Ada: Graphical representation of algorithms, structures, and processes for Ada : GRASP/Ada reverse engineering tools for Ada : final report. Auburn, Ala: Dept. of Computer Science and Engineering, Auburn University, 1995.

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45

H, Cross James, and United States. National Aeronautics and Space Administration., eds. A graphically oriented specification language for automatic code generation: GRASP/Ada, a graphical representation of algorithms, structure, and processes for Ada (phase I) : final report. Auburn, Ala: Dept. of Computer Science & Engineering, College of Engineering & Engineering Experiment Station, Auburn University, 1990.

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46

United States. National Aeronautics and Space Administration., ed. GRASP/Ada: Graphical representation of algorithms, structures, and processes for Ada : update of GRASP/Ada reverse engineering tools for Ada : final report. Auburn, Ala: Dept. of Computer Science and Engineering, Auburn University, 1993.

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47

GRASP/Ada: Graphical representation of algorithms, structures, and processes for Ada : update of GRASP/Ada reverse engineering tools for Ada : final report. Auburn, Ala: Dept. of Computer Science and Engineering, Auburn University, 1992.

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48

United States. National Aeronautics and Space Administration., ed. GRASP/Ada: Graphical representation of algorithms, structures, and processes for Ada : update of GRASP/Ada reverse engineering tools for Ada : final report. Auburn, Ala: Dept. of Computer Science and Engineering, Auburn University, 1992.

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49

United States. National Aeronautics and Space Administration., ed. GRASP/Ada: Graphical representation of algorithms, structures, and processes for Ada : update of GRASP/Ada reverse engineering tools for Ada : final report. Auburn, Ala: Dept. of Computer Science and Engineering, Auburn University, 1993.

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50

United States. National Aeronautics and Space Administration., ed. GRASP/Ada: Graphical representation of algorithms, structures, and processes for Ada : the development of a program analysis environment for Ada, reverse engineering tools for Ada : task 2, phase 2 report. Auburn, Ala: Dept. of Computer Science and Engineering, Auburn University, 1990.

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