The Divide and Conquer method is a problem-solving technique that involves dividing a large problem into smaller sub-problems that are easier to solve, solving each sub-problem independently, and then combining the solutions to get the solution for the original problem.
This technique is based on the idea that a problem can be broken down into smaller problems that are similar to the original problem but easier to solve. By recursively dividing the original problem into smaller sub-problems, we can solve each sub-problem independently, which reduces the complexity of the problem.
Once the sub-problems are solved, their solutions are combined to derive the solution for the larger big problem of size n. This combining step involves merging the solutions of smaller sub-problems to form a solution for the original problem.
Divide and conquer is a recursive approach that involves breaking down a problem into sub-problems and solving each sub-problem independently. This approach is widely used in many algorithms, including sorting algorithms like merge sort and quicksort, and in finding the closest pair of points in a plane.