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Java 9 Data Structures and Algorithms

You're reading from   Java 9 Data Structures and Algorithms A step-by-step guide to data structures and algorithms

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781785889349
Length 340 pages
Edition 1st Edition
Languages
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Author (1):
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Debasish Ray Chawdhuri Debasish Ray Chawdhuri
Author Profile Icon Debasish Ray Chawdhuri
Debasish Ray Chawdhuri
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Toc

Table of Contents (13) Chapters Close

Preface 1. Why Bother? – Basic FREE CHAPTER 2. Cogs and Pulleys – Building Blocks 3. Protocols – Abstract Data Types 4. Detour – Functional Programming 5. Efficient Searching – Binary Search and Sorting 6. Efficient Sorting – quicksort and mergesort 7. Concepts of Tree 8. More About Search – Search Trees and Hash Tables 9. Advanced General Purpose Data Structures 10. Concepts of Graph 11. Reactive Programming Index

Summary


In this chapter, you learned what a tree is. We started out with an actual implementation and then designed an ADT out of it. You also learned about a binary tree, which is just a tree with a maximum of two children per node. We also saw different traversal algorithms for a generic tree. They are depth-first and breadth-first traversals. In the case of a binary tree, a depth-first traversal can be done in three different ways: pre-order, in-order, and post-order. Even in the case of a generic tree, we can find equivalents of the pre-order and post-order traversals for a depth-first traversal. However, it is difficult to point to any particular equivalent of an in-order traversal as it is possible to have more than two children.

In the next chapter, we will see the use of a binary tree in searching, and we will see some other ways of searching as well.

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