Divide and conquer algorithms work by breaking a problem into smaller subproblems of the same type, solving these subproblems independently, and then combining their solutions to solve the original problem. This approach is particularly effective for problems that can be recursively divided into smaller instances, leading to efficient solutions such as mergesort, quicksort, and binary search.