graph theory


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graph theory

[′graf ‚thē·ə·rē]
(mathematics)
The mathematical study of the structure of graphs and networks.
The body of techniques used in graphing functions in the plane.
References in periodicals archive ?
Objective: Structural graph theory has proved to be a powerful tool for copingwith computational intractability.
The topic is also relevant to the new Australian curriculum re graphs and graph theory (ACARA, 2011) and it provides an excellent opportunity to 'embed digital technologies so that they are not seen as optional tools' (ACARA, 2009, p.
In the fourth paper on "Integrating Multidimensional Information for the Benefit of Collaborative Enterprises", the authors Marius Octavian Olaru and Maurizio Vincini based on graph theory provided a relevant clustering approach for heterogeneous Data Warehouses.
Editors Gross, Yellen, and Zhang offer this broad-based review of graph theory presented in thirteen in-depth chapters, each with a glossary.
Graph theory is a field of mathematics that studies the pairwise relationship between multiple components of a structure.
Both worm and human brain can be described, for example, by the mathematical theory of networks, officially known as graph theory.
24 ( ANI ): A new approach to understanding a basic concept in graph theory, known as "vertex connectivity," could lead to communications protocols - the rules that govern how digital messages are exchanged - that coax as much bandwidth as possible from networks, researchers have claimed.
Coloring is a important research area of graph theory.
By using the big data analytics tools, machine learning, graph theory and related algorithms of the Umbrella Security Graph we can predict where new threats are coming from and block them before they can reach users of the Umbrella Security service.
A final chapter contains core methodologies linked with transport geography such as accessibility, spatial interactions, graph theory, and Geographic Information Systems for transportation (GIS-T).
His best known projects and most popular projects are DataPunk, a semantic accumulator and network designer for naturopathic knowledge; QuodLibet, a molecular pathway analytic tool that uses graph theory and social networking algorithms; and SWAMI, a program that devises complex one-of-a-kind health protocols for individuals.
Labeling of graphs plays an important role in application of graph theory in Neural Networks, Coding theory, Circuit Analysis etc.