Divide and Conquer Algorithm is a type of algorithmic strategy that involves breaking down complex tasks into simpler sub-problems, solving those sub-problems, and then combining the solutions into a complete answer. It is a divide and conquer approach to problem-solving that allows for the more efficient solution of many complex problems, including sorting and searching.

The strategy works by splitting the problem into smaller and simpler subproblems, solving each individually, and combining the solutions of those subproblems. This process is repeated until a solution to the original problem is found.

One of the most commonly used examples of a divide and conquer algorithm is the ‘Quick Sort’ algorithm which is used to sort lists of data. In this algorithm, the list is divided into two halves and each half is sorted independently, and then the two sorted halves are combined into a single sorted list.

This algorithm is also used in many areas of computer science such as graph algorithms, sorting, and matrix multiplication. It also has applications in operations research, cryptography, and network flows.

The divide and conquer approach is an efficient and reliable technique for solving many problems. It is essential for efficient programming languages, computers, telecommunications, and distributed systems. Furthermore, the use of this algorithm cuts down on the running time of a problems since it is usually performed recursively.

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