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Books on the topic 'Connection graph'

Author: Grafiati
Published: 25 May 2024

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1

Li, Xueliang, and Yuefang Sun. Rainbow Connections of Graphs. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-3119-0.

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2

Li, Xueliang. Rainbow Connections of Graphs. Boston, MA: Springer US, 2012.

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3

W, Beineke Lowell, and Wilson Robin J, eds. Graph connections: Relationships between graph theory and other areas of mathematics. Oxford: Clarendon Press, 1997.

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4

Conference on Graph Connections (1998 Cochin, India). Proceedings of the Conference on Graph Connections, January 28-31, 1998, Cochin. Edited by Balakrishnan R, Mulder H. M, and Vijayakumar A. New Delhi: Allied Publishers, 1999.

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5

W, Hayden Robert, Santoro Karen, and Sloyer Clifford W, eds. Math connections: Algebra 1 : data analysis, functions, and graphs. 2nd ed. Armonk, NY: It's About Time, 2009.

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6

Alberto, Corso, and Polini Claudia 1966-, eds. Commutative algebra and its connections to geometry: Pan-American Advanced Studies Institute, August 3--14, 2009, Universidade Federal de Pernambuco, Olinda, Brazil. Providence, R.I: American Mathematical Society, 2011.

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7

Jarvis, Jennifer. Social Connection Physical Distancing: Graph Paper Notebook, 1 Cm. Graph, Paper Dimension 6 X 9 Inches, Soft Matte Cover. Independently Published, 2020.

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8

Coolen, A. C. C., A. Annibale, and E. S. Roberts. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0001.

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This introductory chapter sets the scene for the material which follows by briefly introducing the study of networks and describing their wide scope of application. It discusses the role of well-specified random graphs in setting network science onto a firm scientific footing, emphasizing the importance of well-defined null models. Non-trivial aspects of graph generation are introduced. An important distinction is made between approaches that begin with a desired probability distribution on the final graph ensembles and approaches where the graph generation process is the main object of interest and the challenge is to analyze the expected topological properties of the generated networks. At the core of the graph generation process is the need to establish a mathematical connection between the stochastic graph generation process and the stationary probability distribution to which these processes evolve.
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9

Jarvis, Jennifer. Social Connection Physical Distancing: Graph Paper Notebook, Journal, Diary, 4 X 4 per Sq. in. Graph, Dimension 6 X 9 Inches, Soft Matte Cover. Independently Published, 2020.

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10

Li, Xueliang, and Yuefang Sun. Rainbow Connections of Graphs. Springer, 2012.

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11

Rainbow Connections of Graphs Springerbriefs in Mathematics. Springer, 2012.

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12

(Editor), Lowell Wayne Beineke, and Robin James Wilson (Editor), eds. Graph Connections: Relationships between Graph Theory and Other Areas of Mathematics (Oxford Lecture Series in Mathematics and Its Applications, 5). Oxford University Press, USA, 1997.

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13

Lindorfer, Christian. The Language of Self-Avoiding Walks: Connective Constants of Quasi-Transitive Graphs. Springer Spektrum, 2019.

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14

Olshanski, Grigori. Enumeration of maps. Edited by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.26.

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This article discusses the relationship between random matrices and maps, i.e. graphs drawn on surfaces, with particular emphasis on the one-matrix model and how it can be used to solve a map enumeration problem. It first provides an overview of maps and related objects, recalling the basic definitions related to graphs and defining maps as graphs embedded into surfaces before considering a coding of maps by pairs of permutations. It then examines the connection between matrix integrals and maps, focusing on the Hermitian one-matrix model with a polynomial potential and how the formal expansion of its free energy around a Gaussian point (quadratic potential) can be represented by diagrams identifiable with maps. The article also illustrates how the solution of the map enumeration problem can be deduced by means of random matrix theory (RMT). Finally, it explains how the matrix model result can be translated into a bijective proof.
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15

Chekhov, Leonid. Two-dimensional quantum gravity. Edited by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.30.

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This article discusses the connection between large N matrix models and critical phenomena on lattices with fluctuating geometry, with particular emphasis on the solvable models of 2D lattice quantum gravity and how they are related to matrix models. It first provides an overview of the continuum world sheet theory and the Liouville gravity before deriving the Knizhnik-Polyakov-Zamolodchikov scaling relation. It then describes the simplest model of 2D gravity and the corresponding matrix model, along with the vertex/height integrable models on planar graphs and their mapping to matrix models. It also considers the discretization of the path integral over metrics, the solution of pure lattice gravity using the one-matrix model, the construction of the Ising model coupled to 2D gravity discretized on planar graphs, the O(n) loop model, the six-vertex model, the q-state Potts model, and solid-on-solid and ADE matrix models.
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16

Woodward, James. Causation in Science. Edited by Paul Humphreys. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199368815.013.8.

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This article discusses some philosophical theories of causation and their application to several areas of science. Topics addressed include regularity, counterfactual, and causal process theories of causation; the causal interpretation of structural equation models and directed graphs; independence assumptions in causal reasoning; and the role of causal concepts in physics. In connection with this last topic, this article focuses on the relationship between causal asymmetries, the time-reversal invariance of most fundamental physical laws, and the significance of differences among varieties of differential equations (e.g., hyperbolic versus nonhyperbolic) in causal interpretation. It concludes with some remarks about “grounding” special science causal generalizations in physics.
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17

Woodward, James. Causation in Science. Edited by Paul Humphreys. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199368815.013.8_update_001.

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This article discusses some philosophical theories of causation and their application to several areas of science. Topics addressed include regularity, counterfactual, and causal process theories of causation; the causal interpretation of structural equation models and directed graphs; independence assumptions in causal reasoning; and the role of causal concepts in physics. In connection with this last topic, this article focuses on the relationship between causal asymmetries, the time-reversal invariance of most fundamental physical laws, and the significance of differences among varieties of differential equations (e.g., hyperbolic versus nonhyperbolic) in causal interpretation. It concludes with some remarks about “grounding” special science causal generalizations in physics.
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18

Onisick, Stephan. SharePoint 2013, D3 and Dimple Connection: Creating Charts and Graphs on SharePoint 2013 with D3 and Dimple. Independently Published, 2017.

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19

Percus, Allon, Gabriel Istrate, and Cristopher Moore, eds. Computational Complexity and Statistical Physics. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195177374.001.0001.

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Computer science and physics have been closely linked since the birth of modern computing. In recent years, an interdisciplinary area has blossomed at the junction of these fields, connecting insights from statistical physics with basic computational challenges. Researchers have successfully applied techniques from the study of phase transitions to analyze NP-complete problems such as satisfiability and graph coloring. This is leading to a new understanding of the structure of these problems, and of how algorithms perform on them. Computational Complexity and Statistical Physics will serve as a standard reference and pedagogical aid to statistical physics methods in computer science, with a particular focus on phase transitions in combinatorial problems. Addressed to a broad range of readers, the book includes substantial background material along with current research by leading computer scientists, mathematicians, and physicists. It will prepare students and researchers from all of these fields to contribute to this exciting area.
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20

Headrick, Daniel R. When Information Came of Age. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195135978.001.0001.

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Although the Information Age is often described as a new era, a cultural leap springing directly from the invention of modern computers, it is simply the latest step in a long cultural process. Its conceptual roots stretch back to the profound changes that occurred during the Age of Reason and Revolution. When Information Came of Age argues that the key to the present era lies in understanding the systems developed in the eighteenth and early nineteenth centuries to gather, store, transform, display, and communicate information. The book provides a concise and readable survey of the many conceptual developments between 1700 and 1850 and draws connections to leading technologies of today. It documents three breakthroughs in information systems that date to the period: the classification and nomenclature of Linnaeus, the chemical system devised by Lavoisier, and the metric system. It shows how eighteenth-century political arithmeticians and demographers pioneered statistics and graphs as a means for presenting data succinctly and visually. It describes the transformation of cartography from art to science as it incorporated new methods for determining longitude at sea and new data on the measure the arc of the meridian on land. Finally, it looks at the early steps in codifying and transmitting information, including the development of dictionaries, the invention of semaphore telegraphs and naval flag signaling, and the conceptual changes in the use and purpose of postal services. When Information Came of Age shows that like the roots of democracy and industrialization, the foundations of the Information Age were built in the eighteenth and early nineteenth century.
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21

Fitzsimmons, James L. The Greenwood Encyclopedia of Global Medieval Life and Culture. Greenwood Press, 2009. http://dx.doi.org/10.5040/9798216185611.

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The period we know as the Middle Ages, roughly the years 400–1400, saw the formation of ideas and institutions that mark modern societies. Developments as disparate as the foundation of Islam and the emergence of the middle class occurred during this pivotal millennium. Although historical study of the Middle Ages has traditionally focused on Western Europe, modern historians recognize the complex global nature of this era. For all major world regions, this three-volume work offers in-depth essays on broad themes, short entries on specific topics, and carefully selected primary documents to help readers more fully understand this critically important period. Edited by Joyce Salisbury, who is general editor of the award-winning Greenwood Encyclopedia of Daily Life, and written by Professor Salisbury and a series of prominent historians with regional expertise, Greenwood Encyclopedia of Global Medieval Life and Culture comprises three volumes covering the following areas of the globe: Volume 1:Europe and the AmericasVolume 2: Islam and AfricaVolume 3: Asia and Oceania Each regional section comprises seven in-depth essays covering the following broad topics and concluding with bibliographies of important and current information resources: Historical Overview of the Region, Religion, Economy, The Arts, Society, Science and Technology, and Global Ties. The Global Ties essays trace the political, social, economic, religious, technological, or commercial connections that existed between the region under discussion and any other world regions during the Middle Ages. Each regional section also includes a series of brief entries covering people, events, developments, and concepts mentioned in the in-depth essays. Examples of entry topics include the following: Berbers, Emperor Harsha, Ethiopian Christianity, Flowery Warfare, Footbinding, Hildegard of Bingen, Jainism, Jihad, Maya Collapse, Neo-Confucianism, Romanesque, and Sharia. A series of sidebars in each section will provide lists, graphs, charts, and other useful data relating to the region. Each section will also be illustrated and will include a selection of interesting primary documents that further illustrate the main themes addressed in the in-depth essays. Cross-references within the sections and a detailed subject index will also help readers access information in the essays and short entries.
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