## Introduction

Recursion is a powerful tool in programming that can be used to solve complex problems. It is a technique that involves breaking down a problem into smaller sub-problems and then solving each sub-problem recursively. Converting a for loop into a recursive algorithm can be a great way to simplify code and make it more efficient. In this article, we will discuss how to convert a for loop into a recursive algorithm and provide some examples to illustrate the process.

## Solution

//Example for loop

for (int i = 0; i < n; i++) { // do something } //Recursive algorithm public void recursiveLoop(int n) { if (n == 0) { return; } // do something recursiveLoop(n - 1); }

You do it by actually *using* the `i`

parameter.

```
private static final String ALPHABET = "abcdefghijklmnopqrstuvwxyz";
public static void binary(int n, String str, int i) {
if (i == ALPHABET.length())
return;
if (n == 0) {
System.out.println(str);
return;
}
binary(n - 1, str + ALPHABET.charAt(i), 0); // next letter starts at beginning of alphabet
binary(n, str, i + 1); // do it again using next letter of alphabet
}
```

**TEST**

```
binary(2, "", 0);
```

**OUTPUT**

```
aa
ab
ac
...
az
ba
bb
...
zy
zz
```

0

solved How can I convert my for loop into a recursive algorithm?

If you’re looking to convert a for loop into a recursive algorithm, there are a few steps you can take to make the process easier. First, you’ll need to identify the base case, which is the condition that will cause the recursive algorithm to stop. This is usually the point at which the loop would normally end. Once you’ve identified the base case, you’ll need to determine how the recursive algorithm will progress. This means figuring out how the algorithm will call itself and what parameters it will need to pass in order to move forward. Finally, you’ll need to implement the recursive algorithm, making sure to include the base case and the recursive call. With these steps in place, you should be able to successfully convert your for loop into a recursive algorithm.