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The Divide and Conquer method is the most widely applicable technique for designing efficient algorithms. It works in three stages, as shown below:

  1. Divide: Recursively divide the bigger problem of size n into smaller sub-problems of size n/2.
  2. Solve: Sub-problems are solved independently.
  3. Combine: Combine solutions of smaller sub-problems to derive the solution of the larger big problem of size n.

Smaller sub-problems are similar to the larger problem with smaller arguments. Hence, such problems can be solved easily using recursion. Divide and conquer is a multi-branched, top-down recursive approach. Each branch indicates one sub-problem and it calls itself with the smaller argument.

Above diagram shows the working of Divide and Conquer method

Doubtly · 21 Apr 2023 Report
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  • 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- – Doubtly ·
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