# When to use recursion?

## When should you not use recursion?

Recursion is avoided generally because it makes the code less readable and harder to maintain and debug. If you have low resources as paxdiablo said stack space might be valuable for you so you should avoid using it then too.

## What is the main reason to use recursion?

So the main reason we use recursion is to simplify (not optimize) an algorithm into terms easily understood by most people. A classic example is the binary search. The algorithm for binary search in plain English: Start with a sorted collection of data (like a telephone book).

## Where is recursion function useful?

People use recursion only when it is very complex to write iterative code. For example, tree traversal techniques like preorder, postorder can be made both iterative and recursive. But usually we use recursive because of its simplicity.

## Why do we use recursion instead of loops?

Iterative loops don’t have to rely on the call stack to store all their data, which means that when data gets large, they don’t immediately run the risk of a stack overflow. Recursive functions do. The minute that function gets a really large number, it’s going to cause a stack overflow.

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## What is the disadvantage of recursion?

CONS: Recursion uses more memory. Because the function has to add to the stack with each recursive call and keep the values there until the call is finished, the memory allocation is greater than that of an iterative function. Recursion can be slow.

## Are recursive algorithms faster?

Memoization makes recursion palatable, but it seems iteration is always faster. Although recursive methods run slower, they sometimes use less lines of code than iteration and for many are easier to understand. Recursive methods are useful for certain specific tasks, as well, such as traversing tree structures.

## Is recursion good or bad?

Recursion is a useful technique for making code terse and comprehensible. However, it is less performant and breeds stack overflow exceptions in non tail call optimized languages. Carefully scrutinize your use case when choosing between recursive and iterative functions.

## What is recursion with example?

Recursion is the process of defining a problem (or the solution to a problem) in terms of (a simpler version of) itself. For example, we can define the operation “find your way home” as: If you are at home, stop moving. Take one step toward home. “find your way home”.

## Why is recursion so hard?

Recursion is difficult for some people because it is hard to think the course of execution for a recursive program (function). Technically recursion is less efficient than iteration (in most cases). But ironically a recursive function makes the code much cleaner (lesser lines of code).

## Is recursion hard to learn?

But there is another very powerful control structure: recursion. Recursion is one of the most important ideas in computer science, but it’s usually viewed as one of the harder parts of programming to grasp. Books often introduce it much later than iterative control structures.

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## How do you explain recursion?

A recursive function always has to say when to stop repeating itself. There should always be two parts to a recursive function: the recursive case and the base case. The recursive case is when the function calls itself. The base case is when the function stops calling itself.

## What are the applications of recursion?

Recursion has many, many applications. In this module, we’ll see how to use recursion to compute the factorial function, to determine whether a word is a palindrome, to compute powers of a number, to draw a type of fractal, and to solve the ancient Towers of Hanoi problem.