Books on the topic 'Graph'

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1

Golumbic, M. C. Algorithmic graph theory and perfect graphs. 2nd ed. Amsterdam: North Holland, 2004.

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2

Bollobás, Béla. Random graphs. London: Academic Press, 1985.

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3

Kolchin, V. F. Random graphs. Cambridge, UK: Cambridge University Press, 1999.

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4

Random graphs. 2nd ed. Cambridge: Cambridge University Press, 2001.

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5

Random geometric graphs. Oxford: Oxford University Press, 2003.

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6

Bonato, Anthony. The game of cops and robbers on graphs. Providence, R.I: American Mathematical Society, 2011.

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7

Golumbic, Martin Charles. Algorithmic graph theory and perfect graphs. Amsterdam: Elsevier, 2004.

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8

Graph it: Reading charts and graphs. New York: PowerKids Press, 2015.

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9

Graph attack!: Understanding charts and graphs. Englewood Cliffs, NJ: Cambridge Adult Education, 1993.

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10

Bader, David, Henning Meyerhenke, Peter Sanders, and Dorothea Wagner, eds. Graph Partitioning and Graph Clustering. Providence, Rhode Island: American Mathematical Society, 2013. http://dx.doi.org/10.1090/conm/588.

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11

Evstigneev, V. A. Teorii͡a︡ grafov: Algoritmy obrabotki beskonturnykh grafov. Novosibirsk: "Nauka," Sibirskoe predprii͡a︡tie RAN, 1998.

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12

Kyōto Daigaku. Sūri Kaiseki Kenkyūjo., ed. Graph equation for line graphs and m-step graphs. Kyoto, Japan: Research Institute for Mathematical Sciences, Kyoto University, 2007.

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13

Reinschke, K. J. Multivariable control: A graph-theoretic approach. Berlin: Springer-Verlag, 1988.

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14

Reinschke, K. J. Multivariable Control: A graph-theoretic approach. Berlin: Akademie-Verlag, 1988.

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15

1949-, Hahn Geňa, and Sabidussi Gert, eds. Graph symmetry: Algebraic methods and applications. Dordrecht: Kluwer Academic Publishers, 1997.

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16

Introduction to graph theory. 2nd ed. Upper Saddle River, N.J: Prentice Hall, 2001.

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17

West, Douglas Brent. Introduction to graph theory. Upper Saddle River, NJ: Prentice Hall, 1996.

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18

Large networks and graph limits. Providence, Rhode Island: American Mathematical Society, 2012.

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19

J, Sheehan, ed. The Petersen graph. Cambridge [England]: Cambridge University Press, 1993.

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20

Chartrand, Gary. Chromatic graph theory. Boca Raton: Chapman & Hall/CRC, 2009.

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21

O'Connell, Neil. Some large deviation results for sparse random graphs. Bristol [England]: Hewlett Packard, 1996.

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22

Giuseppe, Di Battista, ed. Graph drawing: Algorithms for the visualization of graphs. Upper Saddle River, N.J: Prentice Hall, 1999.

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23

Durrett, Rick. Random Graph Dynamics. Cambridge University Press, 2006.

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24

Durrett, Rick. Random Graph Dynamics. Cambridge University Press, 2007.

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25

Durrett, Rick. Random Graph Dynamics. Cambridge University Press, 2007.

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26

Durrett, Rick. Random Graph Dynamics. Cambridge University Press, 2009.

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27

Golumbic, Martin Charles, and Werner Rheinboldt. Algorithmic Graph Theory and Perfect Graphs. Elsevier Science & Technology Books, 2014.

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28

Graph It! Making Line Graphs. Gareth Stevens Publishing, 2015.

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29

Coolen, A. C. C., A. Annibale, and E. S. Roberts. Soft constraints: exponential random graph models. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0004.

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Abstract:
Exponential random graph models (ERGMs) provide conceptually elegant recipes for generating soft-constrained random graphs. This chapter begins by explaining the theory and describing how to properly specify an ERGM, including demonstrating Lagrange’s method to derive the values of the model parameters that correspond to the desired constraints. Three ERGMs, all with constraints depending linearly on the adjacency matrix, are solved exactly: the targeted total number of links, targeted individual node degrees and targeted number of two-way links in a directed graph. However, when the controlled features become more complicated, ERGMs have a tendency to produce graphs in extreme phases (very dense or very sparse). The two-star model and the Strauss model are worked through in detail using advanced techniques from statistical mechanics in order to analyze the phase transitions. The chapter closes with a discussion of the strengths and weaknesses of ERGMs as null models.
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30

Kolchin, V. F. Random Graphs. Cambridge University Press, 2010.

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31

Kolchin, V. F. Random Graphs. Cambridge University Press, 2009.

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32

Penrose, Mathew. Random Geometric Graphs. Oxford University Press, Incorporated, 2003.

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33

Sobieczky, Florian. Unimodularity in Randomly Generated Graphs. American Mathematical Society, 2018.

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34

Choi, In-kyeong. On straight line representations of random planar graphs. 1991.

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35

Kolchin, V. F. Random Graphs. Cambridge University Press, 2011.

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36

Graphs, Math. Math Graph: Graph Paper. Independently Published, 2018.

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37

Golumbic, Martin Charles. Algorithmic Graph Theory and Perfect Graphs. Elsevier Science & Technology Books, 2004.

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38

Algorithmic Graph Theory and Perfect Graphs. Elsevier, 2004. http://dx.doi.org/10.1016/s0167-5060(04)x8001-8.

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39

Warner, Jack. Graph Attack: Understanding Charts and Graphs. Prentice Hall, 1992.

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40

Gosman, Gillian. Graph It: Reading Charts and Graphs. Rosen Publishing Group, 2014.

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41

NA. Precalculus Functn & Graphs& Graph Calc Pkg. Addison Wesley Publishing Company, 2004.

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42

Warner, Jack. Graph Attack: Understanding Charts and Graphs. Prentice Hall, 1992.

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43

Designs, Plan B. Graph Paper: Graph Paper 4x4. Independently Published, 2018.

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44

Pie, Sweetie. Graph Paper: Valves Graph Paper. Playful Publishing LLC, 2022.

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45

SANGWONGVANICH, Prathed. Graph Notebooke: Graph Paper Hexagonal. Independently Published, 2019.

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46

Publishing, Mmlt. Graph Path: Graph Paper Notebook. Independently Published, 2020.

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47

Jay, Mary. Graph Paper Composition: Graph Paper. Independently Published, 2019.

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48

GB, Zack. Graph Paper: Graph Composition Book. Independently Published, 2019.

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49

Graph Book: 8x8 Graph Paper. Independently Published, 2021.

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50

MICHAEL, John. Graph Paper Composition: Graph Book. Independently Published, 2019.

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