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R Data Structures and Algorithms

You're reading from   R Data Structures and Algorithms Increase speed and performance of your applications with effi cient data structures and algorithms

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781786465153
Length 276 pages
Edition 1st Edition
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Authors (2):
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Achyutuni Sri Krishna Rao Achyutuni Sri Krishna Rao
Author Profile Icon Achyutuni Sri Krishna Rao
Achyutuni Sri Krishna Rao
PKS Prakash PKS Prakash
Author Profile Icon PKS Prakash
PKS Prakash
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Toc

Graph traversals


The concept of traversing across various nodes (or vertices) in a graph along connected edges is termed as graph traversal. The traversing across nodes is typically organized, but can sometimes be random. However, in both the scenarios, traversing begins from a specified start node and ends at a specified final node. Usually, the start and final nodes are not directly connected. In order to establish an indirect connection, a selective organized search is instantiated across the various connected paths. Graph traversal algorithms are generally designed to begin at a given start node and then search for subsequent connected nodes before terminating at the given final node.

Additionally, these traversing algorithms also need to factor in some plausible issues such as the following:

  • Infinite looping: Traversing can end in an infinite loop provided the graph contain cycles

  • Disconnected graph: Traversing (from a specified start node) sometimes can culminate without reaching all...

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