Friday, October 26, 2018

How to implement Binary Search in Java without Recursion - Iterative algorithm

This week’s task is to implement binary search in Java, you need to write both iterative and recursive binary search algorithm. In computer science, a binary search or half-interval search is a divide and conquer algorithm which locates the position of an item in a sorted array. Binary search works by comparing an input value to the middle element of the array. The comparison determines whether the element equals the input, less than the input or greater. When the element being compared to equals the input the search stops and typically returns the position of the element. If the element is not equal to the input then a comparison is made to determine whether the input is less than or greater than the element. Depending on which it is the algorithm then starts over but only searching the top or a bottom subset of the array's elements. If the input is not located within the array the algorithm will usually output a unique value indicating this.

Binary search algorithms typically halve the number of items to check with each successive iteration, thus locating the given item (or determining its absence) in logarithmic time. A binary search is a divide and conquers search algorithm. It works by dividing input set into half and then applying the algorithm and repeating the same steps until work is done.


Binary Search in Java without using Recursion - Iterative algorithm


Binary Search implementation in Java

The algorithm is implemented recursively. Also, an interesting facto to know about binary search implementation in Java is that Joshua Bloch, author of famous Effective Java book wrote the binary search in "java.util.Arrays".

import java.util.Arrays;
import java.util.Scanner;
/**
* Java program to implement Binary Search. We have implemented Iterative
* version of Binary Search Algorithm in Java
*
* @author Javin Paul
*/
public class IterativeBinarySearch {

    public static void main(String args[]) {

        int[] list = new int[]{23, 43, 31, 12};
        int number = 12;
        Arrays.sort(list);
        System.out.printf("Binary Search %d in integer array %s %n", number,
                           Arrays.toString(list));
        binarySearch(list, 12);

        System.out.printf("Binary Search %d in integer array %s %n", 43, 
                           Arrays.toString(list));
        binarySearch(list, 43);

        list = new int[]{123, 243, 331, 1298};
        number = 331;
        Arrays.sort(list);
        System.out.printf("Binary Search %d in integer array %s %n", number, 
                           Arrays.toString(list));
        binarySearch(list, 331);

        System.out.printf("Binary Search %d in integer array %s %n", 331, 
                           Arrays.toString(list));
        binarySearch(list, 1333);

        // Using Core Java API and Collection framework
        // Precondition to the Arrays.binarySearch
        Arrays.sort(list);

        // Search an element
        int index = Arrays.binarySearch(list, 3);

    }

    /**
     * Perform a binary Search in Sorted Array in Java
     *
     * @param input
     * @param number
     * @return location of element in array
     */
    public static void binarySearch(int[] input, int number) {
        int first = 0;
        int last = input.length - 1;
        int middle = (first + last) / 2;

        while (first <= last) {
            if (input[middle] &lt; number) {
                first = middle + 1;
            } else if (input[middle] == number) {
                System.out.printf(number + " found at location %d %n", middle);
                break;
            } else {
                last = middle - 1;
            }
            middle = (first + last) / 2;
        }
        if (first &gt; last) {
            System.out.println(number + " is not present in the list.\n");
        }
    }
}


Output
Binary Search 12 in integer array [12, 23, 31, 43]
12 found at location 0
Binary Search 43 in integer array [12, 23, 31, 43]
43 found at location 3
Binary Search 331 in integer array [123, 243, 331, 1298]
331 found at location 2
Binary Search 331 in integer array [123, 243, 331, 1298]
1333 is not present in the list.



That's all about how to implement an iterative binary search in Java.


Further Learning
Data Structures and Algorithms: Deep Dive Using Java
Algorithms and Data Structures - Part 1 and 2
Data Structures in Java 9 by Heinz Kabutz


Other Searching and Sorting Algorithms tutorials you may like
  1. How to implement Insertion sort algorithm in Java? (answer)
  2. Write a program to implement Bubble sort in Java? (solution)
  3. How to implement QuickSort Algorithm in Java? (example)
  4. How to implement QuickSort Without Recursion in Java? (example)
  5. How to implement Counting Sort Algorithm in Java? (example)
  6. How to implement Radix Sort Algorithm in Java? (example)
  7. How to implement Bucket Sort Algorithm in Java? (code)
  8. How to implement MergeSort in Java? (code)
  9. How to implement in-order traversal in Java? (solution)
  10. How to implement sieve of Eratosthenes algorithm in Java? (solution)
  11. How to implement pre-order traversal of a binary tree in Java? (solution)
  12. How to print all leaf nodes of a binary tree in Java? (solution)
  13. How to implement binary search tree in Java? (solution)

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