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Expert C++

You're reading from   Expert C++ Become a proficient programmer by learning coding best practices with C++17 and C++20's latest features

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781838552657
Length 606 pages
Edition 1st Edition
Languages
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Authors (2):
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Vardan Grigoryan Vardan Grigoryan
Author Profile Icon Vardan Grigoryan
Vardan Grigoryan
Shunguang Wu Shunguang Wu
Author Profile Icon Shunguang Wu
Shunguang Wu
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Toc

Table of Contents (22) Chapters Close

Preface 1. Section 1: Under the Hood of C++ Programming
2. Introduction to Building C++ Applications FREE CHAPTER 3. Low-Level Programming with C++ 4. Details of Object-Oriented Programming 5. Understanding and Designing Templates 6. Memory Management and Smart Pointers 7. Section 2: Designing Robust and Efficient Applications
8. Digging into Data Structures and Algorithms in STL 9. Functional Programming 10. Concurrency and Multithreading 11. Designing Concurrent Data Structures 12. Designing World-Ready Applications 13. Designing a Strategy Game Using Design Patterns 14. Networking and Security 15. Debugging and Testing 16. Graphical User Interface with Qt 17. Section 3: C++ in the AI World
18. Using C++ in Machine Learning Tasks 19. Implementing a Dialog-Based Search Engine 20. Assessments 21. Other Books You May Enjoy

Exploring trees and graphs

The binary search algorithm and sorting algorithms combined together lead to the idea of having a container that keeps items sorted by default. One such container is the std::set, based on a balanced tree. Before discussing the balanced tree itself, let's take a look at the binary search tree, a perfect candidate for fast lookups.

The idea of the binary search tree is that the values of the left-hand subtree of a node are less than the node's value. By contrast, the values of the right-hand subtree of a node are greater than the node's value. Here's an example of a binary search tree:

As you can see in the preceding diagram, the element with the value 15 resides in the left-hand subtree because it's less than 30 (the root element). On the other hand, the element with the value 60 resides in the right-hand subtree because it...

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