A binary search, sometimes called a half-interval search, is a type of algorithm that finds a specific value in a sorted array. The algorithm works by comparing the value that you’re looking for with the middle element of the array.

If the value you’re looking for is less than the middle element, then the algorithm searches the left half of the array. If the value you’re looking for is greater than the middle element, then the algorithm searches the right half of the array.

Table of Contents

## How Binary Search Works?

A binary search starts by checking to see if the value you’re looking for is in the array. If it’s not in the array, then the binary search returns -1. If the value is in the array, then binary search finds the position of the value in the array and returns that position.

The algorithm works by comparing the value you’re looking for with the middle element of the array. If the value you’re looking for is less than the middle element, then the algorithm searches the left half of the array. If the value you’re looking for is greater than the middle, then it searches the right half of the array.

## Advantages of Binary Search?

Binary search has a few advantages over other search algorithms. First, binary search is very efficient because it only requires O(log n) comparisons to find the desired value. Second, binary search is stable – it preserves the order of the elements in the array. Third, binary search is easy to implement and can be implemented in just a few lines of code.

Despite these advantages, binary search is not always the best choice for a search algorithm. In some cases, a different algorithm may be more efficient or produce better results. However, binary search is a good choice for many applications and is often the default choice for many programmers.

The Binary Search is the most efficient search algorithm when it comes to finding a specific value in an array.