Divide and Conquer is a problem-solving strategy that involves breaking a large problem into smaller, more manageable parts. Each smaller part is solved independently, and the solutions are then combined to address the original problem. This method is often used in computer science and mathematics to improve efficiency and simplify complex tasks. 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 subsets, these algorithms can sort each subset quickly and then merge the results, leading to faster overall processing times compared to traditional sorting methods.