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1

Cvetković, Dragoš M. Eigenspaces of graphs. Cambridge: Cambridge University Press, 1997.

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2

Cvetković, Dragoš M. Eigenspaces of graphs. Cambridge: Cambridge University Press, 2008.

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3

Cvetković, Dragoš M. Spectra of graphs: Theory and applications. 3rd ed. Heidelberg: Johann Ambrosius Barth, 1995.

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4

H, Haemers Willem, and SpringerLink (Online service), eds. Spectra of Graphs. New York, NY: Andries E. Brouwer and Willem H. Haemers, 2012.

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5

Verdière, Yves Colin de. Spectres de graphes. Paris: Société mathématique de France, 1998.

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6

Guattery, Stephen. Graph embedding techniques for bounding condition numbers of incomplete factor preconditioners. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1997.

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7

Center, Langley Research, ed. Graph embedding techniques for bounding condition numbers of incomplete factor preconditioners. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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8

Cvetković, Dragoš M. Applications of graph spectra. Edited by Gutman Ivan 1947-. Beograd: Matematički institut SANU, 2009.

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9

Cvetković, Dragoš M. Selected topics on applications of graph spectra. Edited by Gutman Ivan 1947-. Beograd: Matematički institut SANU, 2011.

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10

Peter, Rowlinson, Simić S. (Slobodan), and London Mathematical Society, eds. An introduction to the theory of graph spectra. Cambridge: Cambridge University Press, 2010.

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11

M, Cvetković Dragoš, ed. Recent results in the theory of graph spectra. Amsterdam: North-Holland, 1988.

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12

Spectral graph theory. Providence, R.I: Published for the Conference Board of the mathematical sciences by the American Mathematical Society, 1997.

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13

Stanić, Zoran. Regular Graphs: A Spectral Approach. de Gruyter GmbH, Walter, 2017.

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14

Stanić, Zoran. Regular Graphs: A Spectral Approach. de Gruyter GmbH, Walter, 2017.

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15

Stanić, Zoran. Regular Graphs: A Spectral Approach. de Gruyter GmbH, Walter, 2017.

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16

Nica, Bogdan. Brief Introduction to Spectral Graph Theory. American Mathematical Society, 2018.

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17

Chung. Recent Advances in Spectral Graph Theory. American Mathematical Society, 1999.

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18

Spectral analysis on graph-like spaces. Berlin: Springer-Verlag, 2012.

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19

Pierantozzi, Donald. Topics in Spectral Analysis: Algebraic Graph Theory. Independently Published, 2020.

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20

Quantum Probability and Spectral Analysis of Graphs Theoretical and Mathematical Physics. Springer, 2010.

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21

Haemers, Willem H., and Andries E. Brouwer. Spectra of Graphs. Springer New York, 2014.

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22

Cvetkovic, Dragos, Peter Rowlinson, and Slobodan Simic. Spectral Generalizations of Line Graphs: On Graphs with Least Eigenvalue -2 (London Mathematical Society Lecture Note Series). Cambridge University Press, 2004.

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23

Bolla, Marianna. Spectral Clustering and Biclustering of Networks: Large Graphs and Contingency Tables. Wiley & Sons, Limited, John, 2013.

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24

Bolla, Marianna. Spectral Clustering and Biclustering: Learning Large Graphs and Contingency Tables. Wiley & Sons, Incorporated, John, 2013.

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25

Hora, Akihito, L. Accardi, and Nobuaki Obata. Quantum Probability and Spectral Analysis of Graphs. Springer London, Limited, 2007.

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26

Bolla, Marianna. Spectral Clustering and Biclustering: Learning Large Graphs and Contingency Tables. Wiley & Sons, Incorporated, John, 2013.

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27

Bolla, Marianna. Spectral Clustering and Biclustering: Learning Large Graphs and Contingency Tables. Wiley & Sons, Incorporated, John, 2013.

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28

Spectral Clustering and Biclustering: Learning Large Graphs and Contingency Tables. Wiley, 2013.

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29

(Foreword), L. Accardi, ed. Quantum Probability and Spectral Analysis of Graphs (Theoretical and Mathematical Physics). Springer, 2007.

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30

Mieghem, Piet van. Graph Spectra for Complex Networks. Cambridge University Press, 2010.

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31

Mieghem, Piet van. Graph Spectra for Complex Networks. Cambridge University Press, 2010.

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32

Spectra of graphs: Theory and Applications. Huthig Pub Ltd, 1997.

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33

Gutman, I., D. M. Cvetkovic, M. Doob, and A. Torgasev. Recent Results in the Theory of Graph Spectra. Elsevier Science & Technology Books, 1988.

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34

Mieghem, Piet Van. Graph Spectra for Complex Networks. Cambridge University Press, 2012.

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35

Mieghem, Piet Van. Graph Spectra for Complex Networks. Cambridge University Press, 2011.

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36

Cvetkovic, Dragou, Peter Rowlinson, and Slobodan Simic. Introduction to the Theory of Graph Spectra. Cambridge University Press, 2009.

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37

Dragoš Cvetković, Slobodan Simić, and Peter Rowlinson. Introduction to the Theory of Graph Spectra. Cambridge University Press, 2012.

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38

Dragos Cvetković, Slobodan Simić, Slobodan Simi?, and Peter Rowlinson. Introduction to the Theory of Graph Spectra. Cambridge University Press, 2014.

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39

Rowlinson, Peter, Dragoš Cvetković, and Slobodan Simić. Introduction to the Theory of Graph Spectra. Cambridge University Press, 2011.

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40

Cvetkovic, Dragos M., Horst Sachs, M. Cvetkovi&cacute, HorstLISTPRICE: 110 00 Sachs, and Michael Doob. Spectra of Graphs: Theory and Applications, 3rd Revised and Enlarged Edition. Vch Verlagsgesellschaft Mbh, 1998.

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41

Recent Results in the Theory of Graph Spectra. Elsevier, 1988. http://dx.doi.org/10.1016/s0167-5060(08)x7010-4.

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42

Obata, Nobuaki. Spectral Analysis of Growing Graphs: A Quantum Probability Point of View. Ingramcontent, 2017.

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43

Anne, Colette, and Nabila Torki-Hamza. Spectral Theory of Graphs and of Manifolds: CIMPA 2016, Kairouan, Tunisia. American Mathematical Society, 2018.

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44

Newman, Mark. Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805090.001.0001.

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The study of networks, including computer networks, social networks, and biological networks, has attracted enormous interest in recent years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyse network data on an unprecendented scale, and the development of new theoretical tools has allowed us to extract knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social science. This book brings together the most important breakthroughts in each of these fields and presents them in a unified fashion, highlighting the strong interconnections between work in different areas. Topics covered include the measurement of networks; methods for analysing network data, including methods developed in physics, statistics, and sociology; fundamentals of graph theory; computer algorithms, including spectral algorithms and community detection; mathematical models of networks such as random graph models and generative models; and models of processes taking place on networks.
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45

Verbaarschot, Jac. Quantum chaos and quantum graphs. Edited by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.33.

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This article examines the origins of the universality of the spectral statistics of quantum chaotic systems in the context of periodic orbit theory. It also considers interesting analogies between periodic orbit theory and the sigma model, along with related work on quantum graphs. The article first reviews some facts and definitions for classically chaotic systems in order to elucidate their quantum behaviour, focusing on systems with two degrees of freedom: one characterized by ergodicity and another by hyperbolicity. It then describes two semiclassical approximation techniques — Gutzwiller’s periodic orbit theory and a refined approach incorporating the unitarity of the quantum evolution — and highlights their importance in understanding universal spectral statistics, and how they are related to the sigma model. This is followed by an analysis of parallel developments for quantum graphs, which are relevant to quantum chaos.
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46

Spectra of Graphs: Theory and Applications (Pure and Applied Mathematics (Academic Pr)). 3rd ed. Academic Press, 1997.

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47

O'Connor, David E. Encyclopedia of the Global Economy. Greenwood, 2005. http://dx.doi.org/10.5040/9798216190967.

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There is no doubt that we live in a truly global economy. This unique resource covers a wide spectrum of concepts, people, and organizations related to economic globalization—from its origins in the quest for exotic spices in the 16th century to the debates and controversies that reflect it today. Volume 1 features over 150 entries, organized alphabetically, with definitions and descriptions, examples, photos, references, and exhibits featuring the most current data. Topical coverage includes such contemporary issues as offshore outsourcing, corporate social responsibility, child labor, and the digital divide. This volume also includes profiles of prominent economists, business leaders, and policymakers who have contributed to our understanding of globalization, as well as a timeline of major events and a glossary of key concepts and institutions. Volume 2 includes a wide array of primary documents, a data bank of world statistics on demographic and economic trends, and print and Internet resources for further research. Each document is introduced with an explanation of its context and linked to related articles in Volume 1. Cross-referenced throughout, featuring a comprehensive index, and cutting such disciplines as politics, sociology, and business, theEncyclopedia of the Global Economywill be an indispensable resource for students, teachers, businesspeople, and general readers interested in the dynamics of the global economy and its profound impact on nations, businesses, communities, and individuals. There is no doubt that we live in a truly global economy. Japanese automobiles are manufactured in American plants and exported to Europe. The Golden Arches of McDonalds beckon to customers in over 100 countries. Skyrocketing oil prices have a ripple effect on the cost of thousands of goods worldwide. From Seattle to Genoa, protestors decry the injustices of trade agreements perceived to favor the rich countries over the poor. TheEncyclopedia of the Global Economyilluminates these issues and many more, covering a wide spectrum of concepts, people, and organizations related to economic globalization—from its origins in the quest for exotic spices in the 16th century to the debates and controversies that reflect it today. Volume 1 features over 150 entries, organized alphabetically, with definitions and descriptions, examples, photographic illustrations, references, and exhibits featuring the most current data. Topical coverage includes international trade, foreign investment, transnational corporations, and economic and human development, highlighting such contemporary issues as offshore outsourcing, corporate social responsibility, child labor, sustainable consumption, and the digital divide. This volume also includes profiles of prominent economists, business leaders, and policymakers who have contributed to our understanding of globalization, as well as organizations, such as the World Bank and International Monetary Fund, that work to promote it. A timeline of major events and a glossary of key concepts and institutions complement the narrative entries. Volume 2 includes a wide array of primary documents, a data bank of world statistics on demographic and economic trends, and print and Internet resources for further research. Each document is introduced with an explanation of its context and linked to related articles in Volume 1. Examples include the text of the North American Free Trade Agreement (NAFTA), reports on environmental degradation and poverty reduction from the United Nations, and dozens of tables and graphs reflecting international investment, business activity, productivity, labor, and socioeconomic conditions around the world. Cross-referenced throughout, featuring a comprehensive index, and cutting across such disciplines as politics, sociology, and business, this unique reference will be an indispensable resource for students, teachers, businesspeople, and general readers interested in the dynamics of the global economy and its profound impact on nations, businesses, communities, and individuals.
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