A well-known example of recursion in programming is the calculation of the of a number.

Each time a recursive function calls itself, it is creating a new of that function on the call stack.

Understanding recursion involves recognizing the relationship between the problem and its .

Recursion is often used in tasks such as traversing data structures, like .

A recursive function must have at least one to prevent it from calling itself indefinitely.

In a recursive function, parameters are usually passed along with the function's calls, which can include a to track progress.

The process of breaking a problem down into smaller subproblems that resemble the original problem is known as .

Recursive algorithms can sometimes be less efficient than their iterative counterparts due to associated with function calls.