Learn Binary Search in Data Structures and why it is efficient for large inputs? (DSA Part— 2.2)

How it works? Coding examples, and Real-World applications programs.

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When working with large datasets, finding an element quickly becomes crucial. Binary Search is one of the most efficient searching algorithms for sorted data, and its efficiency stems from its logarithmic time complexity.

Let’s explore why Binary Search is ideal for large inputs, along with coding examples and detailed explanations.

1 — How Binary Search Works?

Binary Search operates by dividing the search space in half with each iteration. This divide-and-conquer approach allows it to discard half the dataset at every step, significantly reducing the number of comparisons.

2 — ⭐Steps to be followed in Binary Search:

1. Sort an input array.
For unsorted datasets, sort the array first using algorithms like Merge Sort or Quick Sort.