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C++ Data Structures and Algorithm Design Principles

You're reading from   C++ Data Structures and Algorithm Design Principles Leverage the power of modern C++ to build robust and scalable applications

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Product type Paperback
Published in Oct 2019
Publisher
ISBN-13 9781838828844
Length 626 pages
Edition 1st Edition
Languages
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Authors (4):
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Anil Achary Anil Achary
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Anil Achary
John Carey John Carey
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John Carey
Payas Rajan Payas Rajan
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Payas Rajan
Shreyans Doshi Shreyans Doshi
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Shreyans Doshi
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Table of Contents (11) Chapters Close

About the Book 1. Lists, Stacks, and Queues FREE CHAPTER 2. Trees, Heaps, and Graphs 3. Hash Tables and Bloom Filters 4. Divide and Conquer 5. Greedy Algorithms 6. Graph Algorithms I 7. Graph Algorithms II 8. Dynamic Programming I 9. Dynamic Programming II 1. Appendix

Strongly Connected Components

In the previous chapters, we discussed several classifications of graphs. Among the most common ways of describing the characteristics of a graph is stating whether it is directed or undirected. The latter defines graphs in which the edges are bidirectional by default (if node A has an edge connecting to node B, then node B has an edge connecting to node A), while the former describes graphs with edges oriented toward specific 'directions'.

Imagine you are an employee for a video hosting website and are tasked with producing statistics about commonalities between subscribers to various channels. Your company is particularly interested in discovering patterns between the individuals who subscribe to certain channels and the subscriptions of the channels' respective owners, hoping to gain greater insight into how their targeted advertising service should be directed. The service your company provides has become rather expansive recently, so you need...

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