Bipartite graphs and their applications

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bipartite graphs and their applications

Armen S. Asratian (Author of Bipartite Graphs and Their Applications)

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Bipartite Graphs/Matching (Intro)-Tutorial 12 D1 Edexcel

Bipartite Graphs and their Applications. Armen S. Asratian , Tristan M.
Armen S. Asratian

Bipartite graphs and their applications

Bipartite graphs constitute one of the most intensively investigated classes of graphs, yet this book appears to be the first devoted entirely to their study. It provides a comprehensive introduction to the subject, with considerable emphasis on applications. In fact most of the chapters have at least one section devoted to applications in other fields of study. Although the grammar is sometimes in need of repair for example, sentences are occasionally spliced together with commas , the book is clearly written. Many of the exercises are quite challenging. As the basic concepts of graph theory are carefully explained in Chapter 1, this book can be warmly recommended not only to experts but also to those seeking an accesible yet rigorous introduction to bipartite graphs, or indeed to graphs in general.

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Equivalently, a bipartite graph is a graph that does not contain any odd-length cycles. When modelling relations between two different classes of objects, bipartite graphs very often arise naturally. For instance, a graph of football players and clubs, with an edge between a player and a club if the player has played for that club, is a natural example of an affiliation network , a type of bipartite graph used in social network analysis. Another example where bipartite graphs appear naturally is in the NP-complete railway optimization problem, in which the input is a schedule of trains and their stops, and the goal is to find a set of train stations as small as possible such that every train visits at least one of the chosen stations. This problem can be modeled as a dominating set problem in a bipartite graph that has a vertex for each train and each station and an edge for each pair of a station and a train that stops at that station. A third example is in the academic field of numismatics. Ancient coins are made using two positive impressions of the design the obverse and reverse.

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Please take this quick survey to tell us about what happens after you publish a paper. Indian Journal of Pure and Applied Mathematics. The result can be viewed as a generalization of the Dirac theorem within the context of bipartite graphs.

Search the history of over billion web pages on the Internet. Its applications are evolving as it is perfect natural model and able to solve the problems in a unique way. Several disciplines even though speak about graph theory that is only in wider context. This paper pinpoints the applications of Bipartite graph in diverse field with a more points stressed on cloud computing. In recent years, graph theory has emerged as one of the most sociable and fruitful methods for analyzing chemical reaction networks CRNs.

To browse Academia. Skip to main content. You're using an out-of-date version of Internet Explorer. By using our site, you agree to our collection of information through the use of cookies. To learn more, view our Privacy Policy. Log In Sign Up. Applications of Bipartite Graph in diverse fields including cloud computing.

The latest advances in high-throughput techniques during the past decade allowed the systems biology field to expand significantly. Today, the focus of biologists has shifted from the study of individual biological components to the study of complex biological systems and their dynamics at a larger scale. Through the discovery of novel bioentity relationships, researchers reveal new information about biological functions and processes. Graphs are widely used to represent bioentities such as proteins, genes, small molecules, ligands, and others such as nodes and their connections as edges within a network. In this review, special focus is given to the usability of bipartite graphs and their impact on the field of network biology and medicine. Furthermore, their topological properties and how these can be applied to certain biological case studies are discussed.

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