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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

Variants of Trees

In the previous exercises, we've mainly looked at the binary tree, which is one of the most common kinds of trees. In a binary tree, each node can have two child nodes at most. However, a plain binary tree doesn't always serve this purpose. Next, we'll look at a more specialized version of the binary tree, called a binary search tree.

Binary Search Tree

A binary search tree (BST) is a popular version of the binary tree. BST is nothing but a binary tree with the following properties:

  • Value of the parent node ≥ value of the left child
  • Value of the parent node ≤ value of the right child

In short, left child ≤ parent ≤ right child.

This leads us to an interesting feature. At any point in time, we can always say that all the elements that are less than or equal to the parent node will be on the left side, while those greater than or equal to the parent node will be on the right side. So, the problem of searching an element keeps...

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