Divide and Conquer

Divide and Conquer is a problem-solving paradigm where a problem is divided into smaller, more manageable subproblems that are similar to the original problem. These subproblems are then solved recursively, and their solutions are combined to solve the original problem. The key steps in the Divide and Conquer approach are:

• Divide: Break the problem into smaller, more manageable subproblems that are similar to the original problem.
• Conquer: Solve the subproblems recursively. If the subproblems are small enough, solve them directly.
• Combine: Combine the solutions of the subproblems to solve the original problem.

This approach is particularly useful for problems that can be broken down into independent subproblems, as it can lead to efficient algorithms with lower time complexity. Classic examples of algorithms that use the Divide and Conquer approach include Merge Sort and Quick Sort for sorting, and Binary Search for searching

Refer to the below example to understand Divide & Conquer: