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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 5. Efficient Searching – Binary Search and Sorting

What is searching? Searching is trying to locate a given value in a collection of values. For example, you are given an array of integers, and your problem is to check whether the integer 5 is in that array. This is a search problem. In addition to just deciding whether the element 5 is in the array, we may be interested in its location as well when it is found. This is also a search problem.

Another interesting take on it would be to imagine a dictionary, that is, an array of values and associated values. For example, you have an array of names of students and their marks, as shown in the following table:

Name

Marks

Tom

63

Harry

70

Merry

65

Aisha

85

Abdullah

72

...

The list continues. Suppose, our system lets the student view his/her own marks. They would type their name and the system would show their marks. For simplicity, let's assume that there are no duplicate names. Now, we have...

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