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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

Chapter 7. Concepts of Tree

We have already seen data structures such as linked list and array. They represent data stored in a linear fashion. In this chapter, we will discuss a new kind of data structure, called a tree. A tree is a generalization of a linked list. While a linked list node has one reference to the next node, a tree node has references to possibly more than one next node. These next nodes are called children of the node, and the node holding the references to the children is called a parent node. In this chapter, we will explore the following topics:

  • Concept of a tree as a data structure
  • Concept of a tree as an ADT
  • Binary trees
  • Different kinds of tree traversals
  • Tree search algorithms

So, let's jump into it right away.

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