## Binary Search

Basic idea behind binary search is to divide sorted array in two parts, and check whether the element which divides the array is desired element . And if the desired element is found then stop the search, otherwise further

divide the array until the desired element is not found.

## Step-Wise Pictorial Demonstration of Search Procedure

## Binary Search in Python

To demonstrate binary search in Python. I have taken a list of integers a of having 10 elements. We have set item 18 to be searched.

Furthermore, see the program and you can easily understand if you have understood pictorial demonstration of search procedure.

**import math**

**a=[5,6,9,12,17,18,20,25,30,35]**

**index=0**

**start=0**

**end=len(a)**

**item=18**

**mid=-1**

**while start <= end and item != a[mid]:**

** mid =math.floor((start+end)/2)**

** print(‘mid’,mid)**

** if item == a[mid]:**

** print(‘Position of the given element is’,mid+1)**

** print(‘Element is’,a[mid])**

** else:**

** if item < a[mid]:**

** end=mid-1**

** else:**

** start=mid+1**

## Time Complexity of Binary Search Algorithm

Time complexity of binary search algorithm is O(log_{2}n). However, it requires a sorted array to perform search operation.

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