Divide and Conquer is a problem-solving strategy that breaks a large problem into smaller, more manageable subproblems. Each subproblem is solved independently, and the solutions are then combined to form a solution to the original problem. This method is often used in computer science and mathematics to improve efficiency. Common examples of Divide and Conquer algorithms include Merge Sort and Quick Sort, which are used for sorting data. By dividing the data into smaller parts, these algorithms can sort more quickly than traditional methods. This approach is effective in reducing the overall complexity of a problem.