Binary Search is a more efficient way to search for an element in a sorted array compared to Linear Search.
In Binary Search, the search space is reduced by half with each iteration, based on whether the element is greater or smaller than the middle element.
This algorithm is powerful due to the simplicity and elegance of dividing the search space efficiently.
Binary Search's iterative method involves setting low and high variables, then calculating the middle index to determine the search.
Three main conditions in Binary Search are checking the middle index, adjusting low and high based on element comparison, and reaching the 'base case.'
If the element is not found in the array, Binary Search returns -1.
The recursive method for Binary Search follows a similar logic as the iterative method but employs a more concise approach.
Setting low and high as parameters in the function call and making recursive calls based on element comparison simplifies the implementation.
The iterative method uses a while loop, while the recursive method eliminates the need for a loop by making function calls until the base case is met.
Understanding Binary Search and its efficient searching process is crucial for handling large datasets and optimizing search operations.