Recursive algorithms solve problems by breaking them down into smaller instances of the same problem. In recursion, a function calls itself with a reduced input until reaching a base case, which ends the recursion. This approach is often elegant and mirrors the natural structure of problems that can be divided into subproblems, such as calculating factorials, performing searches in trees, or solving complex mathematical problems.

When it comes to analyzing recursive algorithms, understanding both time and space complexity is essential