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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

Search algorithms

Suppose you are given an array of values and you are required to check whether a particular value is in that array, what is the most natural way to find that element? Well, it seems that the natural way is to go through each element one by one and check whether they match the given value. If any one does, we have found that element and we can return the index; if not, we can return -1 at the end of processing all the elements to report that such an element could not be found. This is what we would call a linear search. The following demonstrates a linear search algorithm in an array:

    public static <E, F extends E> int linearSearch(E[] values, 
    valueToLookup) { 
        for (int i = 0; i < values.length; i++) { 
            if (values[i].equals(valueToLookup)) { 
                return i; 
            } 
        } 
        return -1; 
    }

The function linearSearch takes an array of values and a value to search in it, and returns the index if the value...

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