The divide-and-conquer approach is a problem-solving technique where a complex problem is divided into smaller subproblems that are easier to solve independently. After solving the subproblems, their solutions are combined to achieve the solution for the original problem.
Related terms
Quick Sort: A highly efficient sorting algorithm based on the divide-and-conquer approach. It picks an element as a pivot and partitions the given array around this pivot.
Binary Search Tree: A data structure organized using the divide-and-conquer principle. It allows fast search, insertions, and deletions of items by recursively dividing nodes into two subtrees based on their values.
Strassen's Matrix Multiplication Algorithm: An efficient algorithm for multiplying two matrices using the divide-and-conquer approach. It recursively divides the matrices into smaller submatrices and performs fewer multiplications than the traditional method.