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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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Toc

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

Summary

In this chapter, we looked at a more advanced class of problems compared to the previous chapter, which helped us to describe a wider range of real-world scenarios. We looked at and implemented two major data structures – trees and graphs. We also looked at various types of trees that we can use in different situations. Then, we looked at different ways of representing data programmatically for these structures. With the help of this chapter, you should be able to apply these techniques to solve real-world problems of similar kinds.

Now that we've looked at linear and non-linear data structures, in the next chapter, we'll look at a very specific but widely used concept called lookup, where the goal is to store values in a container so that searching is super fast. We will also look at the fundamental idea behind hashing and how can we implement such a container.

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