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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
Author Profile Icon Shreyans Doshi
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

So far, we have covered graphs in fairly comprehensive detail. You should now have a solid understanding of some of the basic uses of graph theory in software development, as well as an appreciation for how graph-based solutions can be used to encapsulate complex data in a way that allows us to query and manipulate it with relative ease. Having learned the fundamentals of graph structures and traversals in Chapter 6, Graph Algorithms I, and then extended them to solve more advanced problems in this chapter, you should now be well-equipped to explore much deeper graph implementations in the future since these basic concepts are at the core of all of them.

Though this chapter does not completely conclude our discussion of graph algorithms for this book, we will now take a break from graphs to explore one of the most powerful and challenging programming techniques in the modern developer's repertoire. Like graph algorithms, the subject we will cover next is so expansive and conceptually...

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