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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, we saw a collection of searchable and modifiable data structures. All of these allowed you to insert new elements or delete elements while still remaining searchable and that too quite optimally. We saw binary search trees in which a search follows the paths of the tree from the root. Binary search trees can be modified optimally while still remaining searchable if they are of the self-balancing type. We studied two different kinds of self-balancing trees: AVL trees and red-black trees. Red-black trees are less balanced than AVL trees, but they involve a fewer number of rotations than AVL trees. In the end, we went through the hash table, which is a different kind of searchable structure. Although the worst case complexity of search or insertion is O(n), hash tables provide constant time search and average time insertion (O(lg n)) in most cases. If a hash table does not keep growing, the average insertion and deletion operations will also be constant time.

In the...

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