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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

Tree – It's Upside Down!

As we discussed in the previous section, a tree is nothing but some objects or nodes connected to other nodes via a relationship that results in some sort of hierarchy. If we were to show this hierarchy in a graphical way, it would look like a tree, while the different edges would look like its branches. The main node, which is not dependent on any other node, is also known as a root node and is usually represented at the top. So, unlike an actual tree, this tree is upside down, with the root at its top!

Let's try to construct a structure for a very basic version of an organizational hierarchy.

Exercise 7: Creating an Organizational Structure

In this exercise, we will implement a basic version of the organizational tree we saw in the introduction to this chapter. Let's get started:

  1. First, let's include the required headers:

    #include <iostream>

    #include <queue>

  2. For simplicity, we'll assume that any person can have, at...
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